Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14514
Majid Torabi Nikjeh, Mehdi Dehghani, Vahid Asayesh, Sepideh Akhtari Khosroshahi
Purpose: Developing an efficient and reliable method for the identification of depression is highly important. This paper aims to propose an approach for depression diagnosis using an interhemispheric asymmetry matrix and machine learning algorithms. Materials and Methods: First, an EEG signal was acquired from 24 depressed patients and 24 healthy subjects. The EEG signal was acquired from participants for 5 minutes in Eyes-Closed (EC) and 5 minutes in Eyes-Open (EO) condition. After preprocessing data, interhemispheric asymmetry for absolute and relative powers of theta and beta frequency bands, theta-to-alpha power ratio, and Individual Alpha Frequency (IAF) features were computed. Then, the proposed asymmetry matrix is used as a feature for statistical and classification analysis. In this paper, the classification was performed using a Support Vector Machine (SVM), logistic regression, and Multi-Layer Perceptron (MLP). Results: The results demonstrated that central and temporal theta absolute power, central and temporal IAF asymmetries in the EC condition and occipital beta absolute power, temporal theta relative power, temporal theta-to-alpha power ratio, and temporal IAF asymmetries in the EO condition have significant differences between depressed and healthy groups. Findings show that beta absolute power asymmetry in the occipital region and EO condition is a good biomarker for depression identification with 77.1% accuracy using the Gaussian SVM classifier. Conclusion: The results of this study show performance of proposed asymmetry matrix features in depression detection. Findings show that beta absolute power asymmetry in the occipital region and EO condition is a good biomarker for depression identification.
{"title":"Depression Identification Using Asymmetry Matrix and Machine Learning Algorithms","authors":"Majid Torabi Nikjeh, Mehdi Dehghani, Vahid Asayesh, Sepideh Akhtari Khosroshahi","doi":"10.18502/fbt.v11i1.14514","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14514","url":null,"abstract":"Purpose: Developing an efficient and reliable method for the identification of depression is highly important. This paper aims to propose an approach for depression diagnosis using an interhemispheric asymmetry matrix and machine learning algorithms. Materials and Methods: First, an EEG signal was acquired from 24 depressed patients and 24 healthy subjects. The EEG signal was acquired from participants for 5 minutes in Eyes-Closed (EC) and 5 minutes in Eyes-Open (EO) condition. After preprocessing data, interhemispheric asymmetry for absolute and relative powers of theta and beta frequency bands, theta-to-alpha power ratio, and Individual Alpha Frequency (IAF) features were computed. Then, the proposed asymmetry matrix is used as a feature for statistical and classification analysis. In this paper, the classification was performed using a Support Vector Machine (SVM), logistic regression, and Multi-Layer Perceptron (MLP). Results: The results demonstrated that central and temporal theta absolute power, central and temporal IAF asymmetries in the EC condition and occipital beta absolute power, temporal theta relative power, temporal theta-to-alpha power ratio, and temporal IAF asymmetries in the EO condition have significant differences between depressed and healthy groups. Findings show that beta absolute power asymmetry in the occipital region and EO condition is a good biomarker for depression identification with 77.1% accuracy using the Gaussian SVM classifier. Conclusion: The results of this study show performance of proposed asymmetry matrix features in depression detection. Findings show that beta absolute power asymmetry in the occipital region and EO condition is a good biomarker for depression identification.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"4 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14510
Fahime Saberi, Ahmad Gharzi, Ashraf Jazayeri, Vahid Akmali, Khosrow Chehri
Purpose: The osteological characteristics of fish, especially the head structure, are important in understanding the biological characteristics. Periophthalmus waltoni and Boleophthalmus dussumieri are among the mudskippers and are distributed along the coasts of the Oman Sea and the Persian Gulf. Materials and Methods: After catching and fixing the samples in 96% ethanol, the samples were then sent to the preclinical laboratory (Lotus-InVivo) for micro-CT scanning (TPCF, in Tehran university of medical sciences) for imaging. Results: In B. dussumieri, the skull is rudimentary and a high percentage of the bones is still cartilaginous. In this species, despite the larger head size, the braincase is small. In P. waltoni, the braincase is larger, but the skull tissue is completely bony and has very little cartilaginous. The jaws have also undergone drastic changes, corresponding to the change from a nearly fixed biting mouth to a flexible sucking mouth. In both species, the teeth are sharp and in two parts in the jaws. In P. waltoni, there are three pairs of sharp teeth for hunting in the upper jaw, the number of these teeth in B. dussumieri is four passes and it is less curved. Conclusion: In this report, for the first time, the skull structure of the Persian Gulf was investigated. Micro CT technique has also been used for the first time. Mudskippers have developed special adaptations to live in mud in terrestrial and aquatic conditions. These adaptations are greater in P. waltoni, which shows greater degrees of terrestrialization, and requires detailed studies in this field.
{"title":"An Introduction to the Comparison Shape of some Cranial Structures in Boleophthalmus Dussumieri and Periophthalmus Waltoni (Teleostei: Oxudercidae) in the Persian Gulf: An Exploratory Analysis with Micro-CT Scanning","authors":"Fahime Saberi, Ahmad Gharzi, Ashraf Jazayeri, Vahid Akmali, Khosrow Chehri","doi":"10.18502/fbt.v11i1.14510","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14510","url":null,"abstract":"Purpose: The osteological characteristics of fish, especially the head structure, are important in understanding the biological characteristics. Periophthalmus waltoni and Boleophthalmus dussumieri are among the mudskippers and are distributed along the coasts of the Oman Sea and the Persian Gulf. Materials and Methods: After catching and fixing the samples in 96% ethanol, the samples were then sent to the preclinical laboratory (Lotus-InVivo) for micro-CT scanning (TPCF, in Tehran university of medical sciences) for imaging. Results: In B. dussumieri, the skull is rudimentary and a high percentage of the bones is still cartilaginous. In this species, despite the larger head size, the braincase is small. In P. waltoni, the braincase is larger, but the skull tissue is completely bony and has very little cartilaginous. The jaws have also undergone drastic changes, corresponding to the change from a nearly fixed biting mouth to a flexible sucking mouth. In both species, the teeth are sharp and in two parts in the jaws. In P. waltoni, there are three pairs of sharp teeth for hunting in the upper jaw, the number of these teeth in B. dussumieri is four passes and it is less curved. Conclusion: In this report, for the first time, the skull structure of the Persian Gulf was investigated. Micro CT technique has also been used for the first time. Mudskippers have developed special adaptations to live in mud in terrestrial and aquatic conditions. These adaptations are greater in P. waltoni, which shows greater degrees of terrestrialization, and requires detailed studies in this field.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"50 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139155224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14507
Ali Nouri, Zahra Tabanfar
Purpose: Attention-Deficit-Hyperactivity-Disorder (ADHD) is a neurodevelopmental disorder that begins in early childhood and often persists into adulthood, causing personality issues and social behavior problems. Thus, detecting ADHD in its early stages and developing an effective therapy is of tremendous interest. This study presents a deep learning-based model for ADHD diagnosis in children. Materials and Methods: The 'First-National-EEG-Data-Analysis-Competition-with-Clinical-Application' dataset is used for this purpose. Following preprocessing, data is segmented into 3-second epochs, and frequency features are extracted from these epochs. The Fourier transform is applied to each channel separately, and the resulting two-dimensional matrix (channel×frequency) for each epoch is used as the Convolutional Neural Network's (CNN) input. The CNN is made up of two convolutional layers, two max pooling layers and two fully connected layers as well as the output layer (a total of 9 layers) for classification. To improve the method's performance, the output of the classification of each input variable is analyzed. In other words, the role of each channel/frequency in the final classification is being investigated using the Layer-wise Relevance Propagation (LRP) algorithm. Results: According to the results of the LRP algorithm, only efficient channels are employed as Convolutional Neural Network (CNN) inputs in the following stage. This method yields a final accuracy of 94.52% for validation data. In this study, the feature space is visualized, useful channels are selected, and deep structure capabilities are exploited to diagnose ADHD disorder. Conclusion: The findings suggest that the proposed technique can be used to effectively diagnose ADHD in children.
{"title":"Detection of ADHD Disorder in Children Using Layer-Wise Relevance Propagation and Convolutional Neural Network: An EEG Analysis","authors":"Ali Nouri, Zahra Tabanfar","doi":"10.18502/fbt.v11i1.14507","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14507","url":null,"abstract":"Purpose: Attention-Deficit-Hyperactivity-Disorder (ADHD) is a neurodevelopmental disorder that begins in early childhood and often persists into adulthood, causing personality issues and social behavior problems. Thus, detecting ADHD in its early stages and developing an effective therapy is of tremendous interest. This study presents a deep learning-based model for ADHD diagnosis in children. Materials and Methods: The 'First-National-EEG-Data-Analysis-Competition-with-Clinical-Application' dataset is used for this purpose. Following preprocessing, data is segmented into 3-second epochs, and frequency features are extracted from these epochs. The Fourier transform is applied to each channel separately, and the resulting two-dimensional matrix (channel×frequency) for each epoch is used as the Convolutional Neural Network's (CNN) input. The CNN is made up of two convolutional layers, two max pooling layers and two fully connected layers as well as the output layer (a total of 9 layers) for classification. To improve the method's performance, the output of the classification of each input variable is analyzed. In other words, the role of each channel/frequency in the final classification is being investigated using the Layer-wise Relevance Propagation (LRP) algorithm. Results: According to the results of the LRP algorithm, only efficient channels are employed as Convolutional Neural Network (CNN) inputs in the following stage. This method yields a final accuracy of 94.52% for validation data. In this study, the feature space is visualized, useful channels are selected, and deep structure capabilities are exploited to diagnose ADHD disorder. Conclusion: The findings suggest that the proposed technique can be used to effectively diagnose ADHD in children.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"48 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139155266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14521
E. Malekzadeh
Purpose: The collimator design and optimization are essential in small animal molecular imaging for preclinical studies. In this study, a mathematical model was derived and used to optimize the slit collimator for small animal imaging applications. Materials and Methods: The geometric efficiency was formulated as a source-to-detector distance for a certain amount of the collimator resolution ( ). The first-order derivative of the derived formula gives the optimized parameters. The detector performance was modeled in terms of intrinsic resolution . Furthermore, the edge penetration effect was considered using the validated model. Results: Optimum source-to-detector distance was found as . For an ideal detector, optimal , geometric efficiency and slit aperture width were found as , and , respectively. Where and are the source-to-collimator distance and detector length, respectively. For the fixed resolution of 1.0 mm, the sensitivity for different source-to-collimator distances of 50.0, 100.0, and 150.0 mm was calculated as , , and , respectively. In addition, for a sub-millimeter resolution of 0.5 mm at 15.0, 30.0, and 50.0 mm, the geometric efficiency was calculated as, , , and . For a typical source-to-collimator distance (15.0 mm), the optimal geometric efficiencies are , , , , and for the resolutions of 0.25, 0.50, 1.0, 1.5, and 2.0 mm, respectively. Conclusion: Based on the analytic model predictions, the performance characteristics of the slit collimator in terms of geometric efficiency and resolution were extracted. The importance of the proposed model lies both in its speed and ease of application.
{"title":"Analytical Modeling of a Slit Collimator and Optimization for Small Animal Imaging Applications","authors":"E. Malekzadeh","doi":"10.18502/fbt.v11i1.14521","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14521","url":null,"abstract":"Purpose: The collimator design and optimization are essential in small animal molecular imaging for preclinical studies. In this study, a mathematical model was derived and used to optimize the slit collimator for small animal imaging applications. Materials and Methods: The geometric efficiency was formulated as a source-to-detector distance for a certain amount of the collimator resolution ( ). The first-order derivative of the derived formula gives the optimized parameters. The detector performance was modeled in terms of intrinsic resolution . Furthermore, the edge penetration effect was considered using the validated model. Results: Optimum source-to-detector distance was found as . For an ideal detector, optimal , geometric efficiency and slit aperture width were found as , and , respectively. Where and are the source-to-collimator distance and detector length, respectively. For the fixed resolution of 1.0 mm, the sensitivity for different source-to-collimator distances of 50.0, 100.0, and 150.0 mm was calculated as , , and , respectively. In addition, for a sub-millimeter resolution of 0.5 mm at 15.0, 30.0, and 50.0 mm, the geometric efficiency was calculated as, , , and . For a typical source-to-collimator distance (15.0 mm), the optimal geometric efficiencies are , , , , and for the resolutions of 0.25, 0.50, 1.0, 1.5, and 2.0 mm, respectively. Conclusion: Based on the analytic model predictions, the performance characteristics of the slit collimator in terms of geometric efficiency and resolution were extracted. The importance of the proposed model lies both in its speed and ease of application.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"84 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139155746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14519
Nasim Jamshidi, A. Tarighatnia, Mona Fazel Ghaziyani, Fakhrossadat Sajadian, Maryam Olad-Ghaffari, Nader D. Nader
Purpose: We synthesized folic acid-conjugated Fe3O4/Au-pralidoxime chloride Nanoparticles (Fe2O3/Au@PAM NPs) for use as dual-modal contrast agents for Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) in the diagnosis of breast cancer. Materials and Methods: Fe2O3/Au@PAM NPs labeled or not to folic acid were synthesized and analyzed by dynamic light scattering, transmission electron microscopy, and vibrating sample magnetometry. The ability of these NPs to create image contrast was also investigated in silico and in vitro (in MCF-7 breast cancer cells and A549 lung cancer cells) with CT and MRI. Results: Dynamic light scattering and transmission electron microscopy revealed that the Fe2O3/Au@PAM NPs were nearly spherical. The average diameter of Fe2O3/Au NPs increased from 11.6 nm to 98 nm after folic acid conjugation. The saturation magnetization values of Fe2O3/Au@PAM NPs with and without folic acid conjugation were 25.56 and 32.6 emu/g, respectively. Conjugation of folic acid to NPs greatly improved their uptake by cancer cells. The additional coating of NPs with FA reduced the T2 relaxation time and signal intensity for MRI. Folic acid-labeled MCF-7 cells had a radiodensity measurement of 208 Hunsfield Units (HU) compared to 95 HU for A549 cells. For breast cancer cells, NPs labeled with folic acid significantly improved the X-ray absorption coefficient as a sign of active cellular uptake compared to NPs without labeling. Conclusion: Folic acid-labeled Fe2O3/Au@PAM NPs can serve as dual CT/MRI contrast agents and improve the sensitivities of both modalities for the detection of cancer cells.
{"title":"Folic Acid-Conjugated Fe-Au-Based Nanoparticles for Dual Detection of Breast Cancer Cells by Magnetic Resonance Imaging and Computed Tomography","authors":"Nasim Jamshidi, A. Tarighatnia, Mona Fazel Ghaziyani, Fakhrossadat Sajadian, Maryam Olad-Ghaffari, Nader D. Nader","doi":"10.18502/fbt.v11i1.14519","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14519","url":null,"abstract":"Purpose: We synthesized folic acid-conjugated Fe3O4/Au-pralidoxime chloride Nanoparticles (Fe2O3/Au@PAM NPs) for use as dual-modal contrast agents for Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) in the diagnosis of breast cancer. Materials and Methods: Fe2O3/Au@PAM NPs labeled or not to folic acid were synthesized and analyzed by dynamic light scattering, transmission electron microscopy, and vibrating sample magnetometry. The ability of these NPs to create image contrast was also investigated in silico and in vitro (in MCF-7 breast cancer cells and A549 lung cancer cells) with CT and MRI. Results: Dynamic light scattering and transmission electron microscopy revealed that the Fe2O3/Au@PAM NPs were nearly spherical. The average diameter of Fe2O3/Au NPs increased from 11.6 nm to 98 nm after folic acid conjugation. The saturation magnetization values of Fe2O3/Au@PAM NPs with and without folic acid conjugation were 25.56 and 32.6 emu/g, respectively. Conjugation of folic acid to NPs greatly improved their uptake by cancer cells. The additional coating of NPs with FA reduced the T2 relaxation time and signal intensity for MRI. Folic acid-labeled MCF-7 cells had a radiodensity measurement of 208 Hunsfield Units (HU) compared to 95 HU for A549 cells. For breast cancer cells, NPs labeled with folic acid significantly improved the X-ray absorption coefficient as a sign of active cellular uptake compared to NPs without labeling. Conclusion: Folic acid-labeled Fe2O3/Au@PAM NPs can serve as dual CT/MRI contrast agents and improve the sensitivities of both modalities for the detection of cancer cells.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"4 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The main goal of this study was to determine the optimal collimator in the absence of medium energy collimators along with the impact of Attenuation Correction (AC) and different iterative reconstruction protocols on the quantitative evaluation of Gallium-67 (67Ga) SPECT/CT imaging. Materials and Methods: A GE Discovery 670 dual-head SPECT/CT scanner and a NEMA phantom filled with 67Ga solution were used to scan the patients. The projections were acquired with both Low Energy High Resolution (LEHR) and High Energy General Purpose (HEGP) collimators, and CT images were acquired to evaluate the effect of attenuation correction. SPECT data were reconstructed using the ordered subset expectation maximization (OSEM) method with various combinations of iterations and subsets. The performance was quantified, and a clinical study validated the phantom study. Results: Acquired images by the HEGP collimator yielded higher Contrast Recovery (CR) and Contrast to Noise Ratio (CNR) in images with AC than those without non-AC (41.6% and 74.2%, respectively). The CNR in all spheres after AC was increased by 80.4% (82.1%) for the HEGP collimator against the LEHR collimator. Also, an increase in iterations × subsets from 16 to 48 led to the Coefficient of Variation (COV) increasing by 17.2%, 16.67%, 15.50%, 14.4%, 14.2%, and 14.1% for 10 mm to 37 mm sphere diameter, respectively. Conclusion: CT-based AC and HEGP collimators can yield improved 67Ga SPECT quantification compared to Non-AC and LEHR collimators. The choice of the optimal collimator with the reconstruction protocol led to changes in the image quality and quantitative accuracy, emphasizing the need to carefully select the appropriate combination of data acquisition factors.
目的：本研究的主要目的是确定在没有中等能量准直器的情况下的最佳准直器，以及衰减校正（AC）和不同迭代重建方案对镓-67（67Ga）SPECT/CT 成像定量评估的影响。 材料与方法：使用 GE Discovery 670 双头 SPECT/CT 扫描仪和充满 67Ga 溶液的 NEMA 模型对患者进行扫描。使用低能高分辨率（LEHR）和高能通用（HEGP）准直器采集投影，并采集 CT 图像以评估衰减校正的效果。使用有序子集期望最大化（OSEM）方法，以不同的迭代和子集组合重建 SPECT 数据。对其性能进行了量化，一项临床研究验证了该模型研究。 研究结果使用 HEGP 准直器获取的图像中，有 AC 的对比度恢复（CR）和对比度与噪声比（CNR）均高于无 AC 的图像（分别为 41.6% 和 74.2%）。与 LEHR 准直器相比，AC 后 HEGP 准直器所有球面的 CNR 增加了 80.4%（82.1%）。此外，迭代次数×子集从 16 次增加到 48 次，导致球体直径从 10 毫米到 37 毫米的变异系数（COV）分别增加了 17.2%、16.67%、15.50%、14.4%、14.2% 和 14.1%。 结论与非 AC 和 LEHR 准直器相比，基于 CT 的 AC 和 HEGP 准直器可提高 67Ga SPECT 定量。最佳准直器与重建方案的选择会导致图像质量和定量准确性发生变化，因此需要仔细选择数据采集因素的适当组合。
{"title":"Impact of Attenuation Correction, Collimator, and Iterative Reconstruction Protocols on 67Ga SPECT/CT Quantification","authors":"Sahar Rezaei, Saeed Farzanehfar, Leyla Badrzadeh, Faezeh Assadi, Nasim Vahidfar, P. Sheikhzadeh","doi":"10.18502/fbt.v11i1.14516","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14516","url":null,"abstract":"Purpose: The main goal of this study was to determine the optimal collimator in the absence of medium energy collimators along with the impact of Attenuation Correction (AC) and different iterative reconstruction protocols on the quantitative evaluation of Gallium-67 (67Ga) SPECT/CT imaging. Materials and Methods: A GE Discovery 670 dual-head SPECT/CT scanner and a NEMA phantom filled with 67Ga solution were used to scan the patients. The projections were acquired with both Low Energy High Resolution (LEHR) and High Energy General Purpose (HEGP) collimators, and CT images were acquired to evaluate the effect of attenuation correction. SPECT data were reconstructed using the ordered subset expectation maximization (OSEM) method with various combinations of iterations and subsets. The performance was quantified, and a clinical study validated the phantom study. Results: Acquired images by the HEGP collimator yielded higher Contrast Recovery (CR) and Contrast to Noise Ratio (CNR) in images with AC than those without non-AC (41.6% and 74.2%, respectively). The CNR in all spheres after AC was increased by 80.4% (82.1%) for the HEGP collimator against the LEHR collimator. Also, an increase in iterations × subsets from 16 to 48 led to the Coefficient of Variation (COV) increasing by 17.2%, 16.67%, 15.50%, 14.4%, 14.2%, and 14.1% for 10 mm to 37 mm sphere diameter, respectively. Conclusion: CT-based AC and HEGP collimators can yield improved 67Ga SPECT quantification compared to Non-AC and LEHR collimators. The choice of the optimal collimator with the reconstruction protocol led to changes in the image quality and quantitative accuracy, emphasizing the need to carefully select the appropriate combination of data acquisition factors.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"36 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139155946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14505
Reza Malekzadeh, Masoud Seidi, Nikan Asadpour, Hadi Sabri
Purpose: The correlation of different samples can be described by analytical models such as random matrix theory. In this study, we tried to describe the correlation of different types of ultraviolet values in different months, weeks, and hours to get a significant relationship of special times, which one needs to get enough intensity of the sun or avoid getting sunburn. Materials and Methods: To this aim, we focused on the hourly and daily mean amounts of ultraviolet A, B, and C intensities of solar radiation in Tabriz urban area were measured during a full year of 2017-2018. We used such ultraviolet values which are measured at the same hour of the day to satisfy the same symmetry criteria which are necessary in random matrix theory. These data are unfolded and classified in different sequences to analyze in the nearest neighbor spacing distribution framework via the maximum likelihood estimation technique. Results: Strong correlation is yielded for daily values of UVA in comparison with the other types of ultraviolet radiations. Also, we considered the dependence of correlation degrees of these three types of ultraviolet to average temperature and humidity at different months. Conclusion: The results propose more correlation of UVA indices in August while such correlation of UVC radiations are yielded in December.
{"title":"Prediction of Solar Ultraviolet Radiations Using Random Matrix Theory","authors":"Reza Malekzadeh, Masoud Seidi, Nikan Asadpour, Hadi Sabri","doi":"10.18502/fbt.v11i1.14505","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14505","url":null,"abstract":"Purpose: The correlation of different samples can be described by analytical models such as random matrix theory. In this study, we tried to describe the correlation of different types of ultraviolet values in different months, weeks, and hours to get a significant relationship of special times, which one needs to get enough intensity of the sun or avoid getting sunburn. Materials and Methods: To this aim, we focused on the hourly and daily mean amounts of ultraviolet A, B, and C intensities of solar radiation in Tabriz urban area were measured during a full year of 2017-2018. We used such ultraviolet values which are measured at the same hour of the day to satisfy the same symmetry criteria which are necessary in random matrix theory. These data are unfolded and classified in different sequences to analyze in the nearest neighbor spacing distribution framework via the maximum likelihood estimation technique. Results: Strong correlation is yielded for daily values of UVA in comparison with the other types of ultraviolet radiations. Also, we considered the dependence of correlation degrees of these three types of ultraviolet to average temperature and humidity at different months. Conclusion: The results propose more correlation of UVA indices in August while such correlation of UVC radiations are yielded in December.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"26 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14509
Roshanak Khodabakhsh Pirklani, S. Khomami
Purpose: Obsessive-Compulsive Disorder (OCD) is a mental and behavioral disorder in which an individual has intrusive thoughts and rituals which decrease the distress. It seems that there are many treatments such as EX/RP, repetitive Transcranial Magnetic Stimulation (rTMS), medications or mindfulness for OCD, but there is no single effective treatment yet. In this study, we investigated a multi-element daily program on symptom reduction of OCD people. Materials and Methods: In a quasi-experimental design 13 patients were included in the study and received daily rTMS with EX/RP and biofeedback. We utilized BDI, BAI, and YBOCS tools to collect data before and after the treatment and in the subsequent one-month follow-up. Results: According to the BDI, BAI, and YBOCS results, the decrease in score was observed at the p<0.001 level and the changes were significant after a one-month follow-up period. Conclusion: The results indicated that the combination of sequenced treatments simultaneously such as rTMS and biofeedback with exposure therapy can facilitate the engagement and enhancement of self-control and distress tolerance.
{"title":"The Efficacy of Combined Transcranial Magnetic Stimulation and Exposure Prevention Response on Symptoms of Resistant Obsessive Compulsive Disorder: An Intensive Day Care Program","authors":"Roshanak Khodabakhsh Pirklani, S. Khomami","doi":"10.18502/fbt.v11i1.14509","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14509","url":null,"abstract":"Purpose: Obsessive-Compulsive Disorder (OCD) is a mental and behavioral disorder in which an individual has intrusive thoughts and rituals which decrease the distress. It seems that there are many treatments such as EX/RP, repetitive Transcranial Magnetic Stimulation (rTMS), medications or mindfulness for OCD, but there is no single effective treatment yet. In this study, we investigated a multi-element daily program on symptom reduction of OCD people. Materials and Methods: In a quasi-experimental design 13 patients were included in the study and received daily rTMS with EX/RP and biofeedback. We utilized BDI, BAI, and YBOCS tools to collect data before and after the treatment and in the subsequent one-month follow-up. Results: According to the BDI, BAI, and YBOCS results, the decrease in score was observed at the p<0.001 level and the changes were significant after a one-month follow-up period. Conclusion: The results indicated that the combination of sequenced treatments simultaneously such as rTMS and biofeedback with exposure therapy can facilitate the engagement and enhancement of self-control and distress tolerance.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"35 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14511
Abedin Paydar, A. E. Torshabi
Purpose: In the recent decade, proton therapy facilities are increasing worldwide. This study aimed to analyze the influence of volumetric changes in bladder and rectum filling on the dose received by normal surrounding tissues at prostate cancer proton therapy. In this work, an anthropomorphic phantom dedicated to the prostate organs and nearby tissues has been developed using the FLUKA simulation code. Materials and Methods: The geometry of the prostate and normal nearby tissues, bladder volumetric changes, and rectum filling/emptying status were simulated according to a database of real patients to mimic actual treatment, assuming the prostate as the target receives the prescribed dose uniformly with no over- and under dosage at each treatment session. Furthermore, the dosimetric effect of air- and water-filled balloons as prostate fixation tools was considered on the rectum, during our simulation process. Results: Final analyzed results showed that the overall dose received by normal nearby organs with be decreased at proton therapy of prostate cancer if the bladder is full, although this dose reduction is not remarkable. Moreover, rectum filling/emptying and also implementation of balloons with different matters have no significant effect on the amount of dose received by this organ. Conclusion: The dosimetric impact of bladder volumetric variations onto normal nearby organs will not be a crucial issue in proton therapy of prostate cancer if the prescribed high dose is delivered on the target with proper uniformity laterally and in-depth. Based on the obtained results, a full bladder is recommended while target bombarding by a proton beam.
{"title":"Dosimetry Impact of Bladder Volume Changes and Rectum Filling/Emptying at Proton Therapy of Prostate Cancer; A Simulation Study","authors":"Abedin Paydar, A. E. Torshabi","doi":"10.18502/fbt.v11i1.14511","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14511","url":null,"abstract":"Purpose: In the recent decade, proton therapy facilities are increasing worldwide. This study aimed to analyze the influence of volumetric changes in bladder and rectum filling on the dose received by normal surrounding tissues at prostate cancer proton therapy. In this work, an anthropomorphic phantom dedicated to the prostate organs and nearby tissues has been developed using the FLUKA simulation code. Materials and Methods: The geometry of the prostate and normal nearby tissues, bladder volumetric changes, and rectum filling/emptying status were simulated according to a database of real patients to mimic actual treatment, assuming the prostate as the target receives the prescribed dose uniformly with no over- and under dosage at each treatment session. Furthermore, the dosimetric effect of air- and water-filled balloons as prostate fixation tools was considered on the rectum, during our simulation process. Results: Final analyzed results showed that the overall dose received by normal nearby organs with be decreased at proton therapy of prostate cancer if the bladder is full, although this dose reduction is not remarkable. Moreover, rectum filling/emptying and also implementation of balloons with different matters have no significant effect on the amount of dose received by this organ. Conclusion: The dosimetric impact of bladder volumetric variations onto normal nearby organs will not be a crucial issue in proton therapy of prostate cancer if the prescribed high dose is delivered on the target with proper uniformity laterally and in-depth. Based on the obtained results, a full bladder is recommended while target bombarding by a proton beam.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"4 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.18502/fbt.v11i1.14520
Shashank Dwivedi, Abuzar Mohammad
In today’s era, the lifestyle of people has become much more sophisticated due to the involvement of stress, anxiety, and depression in the daily routine of human beings. In such a scenario, cardiac diseases are growing rapidly in youngsters and senior citizens. It is also observed that cardiac diseases are crucial and sensitive, including life-threatening chances. So, it is essential to detect and prevent such cardiac disorders within the required time for recovery. Since there has been a lot of research in the prediction and prevention of cardiac disorders, cardiac arrhythmia is also one of the majorly occurring diseases in the bulk of the population. The electrocardiogram is the cheap and best way to diagnose the problem of cardiac arrhythmia, and a huge amount of data is collected daily in hospitals and pathological centers. Previously, various automated models were developed for detecting cardiac arrhythmia using deep learning approaches and machine learning. In this work, we have reviewed recently developed automated models and evaluated their performance based on specific parameters like deployed datasets, variation of input data, applied application, methodology, and results obtained by the developed model. The limitations of reviewed papers are also mentioned in addition to their future scope for improvement.
{"title":"Heartbeat Pattern and Arrhythmia Classification: A Review","authors":"Shashank Dwivedi, Abuzar Mohammad","doi":"10.18502/fbt.v11i1.14520","DOIUrl":"https://doi.org/10.18502/fbt.v11i1.14520","url":null,"abstract":"In today’s era, the lifestyle of people has become much more sophisticated due to the involvement of stress, anxiety, and depression in the daily routine of human beings. In such a scenario, cardiac diseases are growing rapidly in youngsters and senior citizens. It is also observed that cardiac diseases are crucial and sensitive, including life-threatening chances. So, it is essential to detect and prevent such cardiac disorders within the required time for recovery. Since there has been a lot of research in the prediction and prevention of cardiac disorders, cardiac arrhythmia is also one of the majorly occurring diseases in the bulk of the population. The electrocardiogram is the cheap and best way to diagnose the problem of cardiac arrhythmia, and a huge amount of data is collected daily in hospitals and pathological centers. Previously, various automated models were developed for detecting cardiac arrhythmia using deep learning approaches and machine learning. In this work, we have reviewed recently developed automated models and evaluated their performance based on specific parameters like deployed datasets, variation of input data, applied application, methodology, and results obtained by the developed model. The limitations of reviewed papers are also mentioned in addition to their future scope for improvement.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"38 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139157062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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