Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043885
M. Afzali, E. Fatemizadeh, H. Soltanian-Zadeh
Diffusion weighted imaging (DWI) is a non-invasive method for investigating the brain white matter structure. It can be used to evaluate fiber bundles in the brain. However, clinical acquisitions are often low resolution. This paper proposes a method for improving the resolution using sparse representation. In this method a non-diffusion weighted image (bO) is utilized to learn the patches and then diffusion weighted images are reconstructed based on the trained dictionary. Our method is compared with bilinear, nearest neighbor and bicubic interpolation methods. The proposed method shows improvement in terms of Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM).
{"title":"Sparse representation-based super-resolution for diffusion weighted images","authors":"M. Afzali, E. Fatemizadeh, H. Soltanian-Zadeh","doi":"10.1109/ICBME.2014.7043885","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043885","url":null,"abstract":"Diffusion weighted imaging (DWI) is a non-invasive method for investigating the brain white matter structure. It can be used to evaluate fiber bundles in the brain. However, clinical acquisitions are often low resolution. This paper proposes a method for improving the resolution using sparse representation. In this method a non-diffusion weighted image (bO) is utilized to learn the patches and then diffusion weighted images are reconstructed based on the trained dictionary. Our method is compared with bilinear, nearest neighbor and bicubic interpolation methods. The proposed method shows improvement in terms of Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM).","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114342734","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043942
Elahe Alipour, F. Moztarzadeh, S. Hesaraki
In this study, injectability and mechanical properties of calcium phosphate cement was improved by introducing cement powder (mixture of tetracalcium phosphate and dicalcium phosphate) with %75 cherry tree gum solution. Formations of hydroxyapatite (HA) were characterized by Fourier transform infrared spectrometer, X-ray diffraction, and scanning electron microscopy techniques. Moreover, the X-ray diffraction and FTIR patterns of the set cements indicated that, in both control group (cement without any gum) and HA containing cements, the primitive reactant components were completely converted to carbonated nanostructured apatite after soaking in simulated body fluid. Overal, the study indicated that calcium phosphate cement with improved injectability and mechanical properties can be procured by using cherry tree gum as an efficient additive.
{"title":"The effect of adding cherry tree gum on physical and mechanical properties of calcium phosphate bone cements","authors":"Elahe Alipour, F. Moztarzadeh, S. Hesaraki","doi":"10.1109/ICBME.2014.7043942","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043942","url":null,"abstract":"In this study, injectability and mechanical properties of calcium phosphate cement was improved by introducing cement powder (mixture of tetracalcium phosphate and dicalcium phosphate) with %75 cherry tree gum solution. Formations of hydroxyapatite (HA) were characterized by Fourier transform infrared spectrometer, X-ray diffraction, and scanning electron microscopy techniques. Moreover, the X-ray diffraction and FTIR patterns of the set cements indicated that, in both control group (cement without any gum) and HA containing cements, the primitive reactant components were completely converted to carbonated nanostructured apatite after soaking in simulated body fluid. Overal, the study indicated that calcium phosphate cement with improved injectability and mechanical properties can be procured by using cherry tree gum as an efficient additive.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129069853","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043940
M. Borjkhani, A. Mahdavi, F. Bahrami
Addiction is a chronic disorder whereby addicted individuals compulsively engage in drug seeking despite its negative consequences. Hippocampus has unavoidable role in addiction because of its importance in learning and memory. Any modification of hippocampal cells alters dopamine levels in NAc and firing rates of VTA dopaminergic cells. In order to have a better understanding of the addiction in cellular level, we present a mathematical model of a tripartite synapse in hippocampus. The proposed model can show some functions of synapses under addiction that may contribute to drug seeking and relapse behaviors. The model is based on glutamate alterations in synaptic cleft during drug abuse. Experimental studies suggest that during drug abuse, NMD AR dependent synaptic transmission is increased. According to our simulation results, dysfunction of astrocyte has a significant role in initiating addiction. Since healthy astrocytes has a comprehensive control over synaptic interactions it may use to treat addicted related behaviors. Also, we may conclude that addiction causes abnormalities on postsynaptic signaling such as NMDA currents. Furthermore, we may suggest that drug induced D-serine enhancement in synaptic cleft potentiate post synaptic calcium influx and LTP.
{"title":"A mathematical model for neuron astrocytes interactions in hippocampus during addiction","authors":"M. Borjkhani, A. Mahdavi, F. Bahrami","doi":"10.1109/ICBME.2014.7043940","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043940","url":null,"abstract":"Addiction is a chronic disorder whereby addicted individuals compulsively engage in drug seeking despite its negative consequences. Hippocampus has unavoidable role in addiction because of its importance in learning and memory. Any modification of hippocampal cells alters dopamine levels in NAc and firing rates of VTA dopaminergic cells. In order to have a better understanding of the addiction in cellular level, we present a mathematical model of a tripartite synapse in hippocampus. The proposed model can show some functions of synapses under addiction that may contribute to drug seeking and relapse behaviors. The model is based on glutamate alterations in synaptic cleft during drug abuse. Experimental studies suggest that during drug abuse, NMD AR dependent synaptic transmission is increased. According to our simulation results, dysfunction of astrocyte has a significant role in initiating addiction. Since healthy astrocytes has a comprehensive control over synaptic interactions it may use to treat addicted related behaviors. Also, we may conclude that addiction causes abnormalities on postsynaptic signaling such as NMDA currents. Furthermore, we may suggest that drug induced D-serine enhancement in synaptic cleft potentiate post synaptic calcium influx and LTP.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123092058","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043908
Neda Rashidi, M. Tafazzoli-Shadpour, Ramin Omidvar, M. Ebrahimi
In this study, we evaluated mechanical properties of breast cancer stem-like/tumor-initiating cells (CSC/TICs) from MCF7 cell line. By use of local measurement techniques, such as atomic force microscopy, magnetic or optical tweezers, determination of mechanical properties of an individual living cell in liquid conditions, similar to natural environment has become possible. In this study Young's modulus of individual cancer stem cells were measured as an indicator of cell elasticity using atomic force microscopy (AFM) compared to that of cancer cells. Results indicated that the enriched CSC/TICs population (0.357±0.092kPa) were softer than their cancer cells (MCF7 cell line) (1.04±0.27 kPa). Based on the significant difference between mechanical properties of CSC and cancer cells, the progression of cancer cells from cancer stem cells may be characterized.
{"title":"Evaluation of elastic properties of breast cancer stem-like/tumor initiating cells using Atomic Force Microscopy","authors":"Neda Rashidi, M. Tafazzoli-Shadpour, Ramin Omidvar, M. Ebrahimi","doi":"10.1109/ICBME.2014.7043908","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043908","url":null,"abstract":"In this study, we evaluated mechanical properties of breast cancer stem-like/tumor-initiating cells (CSC/TICs) from MCF7 cell line. By use of local measurement techniques, such as atomic force microscopy, magnetic or optical tweezers, determination of mechanical properties of an individual living cell in liquid conditions, similar to natural environment has become possible. In this study Young's modulus of individual cancer stem cells were measured as an indicator of cell elasticity using atomic force microscopy (AFM) compared to that of cancer cells. Results indicated that the enriched CSC/TICs population (0.357±0.092kPa) were softer than their cancer cells (MCF7 cell line) (1.04±0.27 kPa). Based on the significant difference between mechanical properties of CSC and cancer cells, the progression of cancer cells from cancer stem cells may be characterized.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127800351","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043903
A. Babolhavaeji, S. Karimi, A. Ghaffari, A. Hamidinekoo, B. Vosoughi-Vahdat
Inferior temporal (IT) cortex is the most important part of the brain and plays an important role in response to visual stimuli. In this study, object decoding has been performed using neuron spikes in IT cortex region. Single Unit Activity (SUA) was recorded from 123 neurons in IT cortex. Pseudo-population firing rate vectors were created, then dimension reduction was done and an Artificial Neural Network (ANN) was used for object decoding. Object decoding accuracy was calculated for various window lengths from 50 ms to 200 ms and various window steps from 25 ms to 100 ms. The results show that 150 ms length and 50 ms window step size gives an optimum performance in average accuracy.
下颞叶皮层是大脑中最重要的部分，对视觉刺激的反应起着重要的作用。在本研究中，利用IT皮质区域的神经元尖峰进行对象解码。记录123个IT皮质神经元的单单位活动(SUA)。首先建立伪种群发射率向量，然后进行降维，利用人工神经网络对目标进行解码。在不同的窗长(50 ms ~ 200 ms)和不同的窗步(25 ms ~ 100 ms)下计算对象解码精度。结果表明，150 ms的长度和50 ms的窗步长可以获得最佳的平均精度。
{"title":"Optimal temporal resolution for decoding of visual stimuli in inferior temporal cortex","authors":"A. Babolhavaeji, S. Karimi, A. Ghaffari, A. Hamidinekoo, B. Vosoughi-Vahdat","doi":"10.1109/ICBME.2014.7043903","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043903","url":null,"abstract":"Inferior temporal (IT) cortex is the most important part of the brain and plays an important role in response to visual stimuli. In this study, object decoding has been performed using neuron spikes in IT cortex region. Single Unit Activity (SUA) was recorded from 123 neurons in IT cortex. Pseudo-population firing rate vectors were created, then dimension reduction was done and an Artificial Neural Network (ANN) was used for object decoding. Object decoding accuracy was calculated for various window lengths from 50 ms to 200 ms and various window steps from 25 ms to 100 ms. The results show that 150 ms length and 50 ms window step size gives an optimum performance in average accuracy.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129661909","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043948
Shaghayegh Reza, Tahereh Emami Azadi, J. Kabudian, Y. Shekofteh
In this paper we implement state of the art factor analysis based methods and fused their scores to gain a channel robust speaker recognition system. These two methods are joint factor analysis (JFA) and i-Vector which define low-dimensional speaker and channel dependent spaces. For score fusion we propose a simple weight computation without training step. We experiment our method on two conditions; 1) in channel matched training and test channel (telephone in training phase/telephone in test phase) task and 2) the channel mismatched condition (telephone training phase/microphone, GSM and VOIP in test phase) task. Our strategies outperform a state-of-the-art GMM-UBM based system. We obtained more than 4% absolute EER improvement for both channel dependent and channel independent condition compared to the standard GMM-UBM based method. Simulation also results that the combined system based on i-Vector and JFA gives better performance than all implemented method.
{"title":"A robust speaker recognition system combining factor analysis techniques","authors":"Shaghayegh Reza, Tahereh Emami Azadi, J. Kabudian, Y. Shekofteh","doi":"10.1109/ICBME.2014.7043948","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043948","url":null,"abstract":"In this paper we implement state of the art factor analysis based methods and fused their scores to gain a channel robust speaker recognition system. These two methods are joint factor analysis (JFA) and i-Vector which define low-dimensional speaker and channel dependent spaces. For score fusion we propose a simple weight computation without training step. We experiment our method on two conditions; 1) in channel matched training and test channel (telephone in training phase/telephone in test phase) task and 2) the channel mismatched condition (telephone training phase/microphone, GSM and VOIP in test phase) task. Our strategies outperform a state-of-the-art GMM-UBM based system. We obtained more than 4% absolute EER improvement for both channel dependent and channel independent condition compared to the standard GMM-UBM based method. Simulation also results that the combined system based on i-Vector and JFA gives better performance than all implemented method.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125223253","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043929
M. Farzi, A. Ghaffari, E. Fatemizadeh
We propose an algorithm based on mutual information to address the problem of online reconstruction of dynamic MRI from partial k-space measurements. Most of previous compressed sensing (CS) based methods successfully leverage sparsity constraint for offline reconstruction of MR images, yet they are not used in online applications due to their complexities. In this paper, we formulate the reconstruction as a constraint optimization problem and try to maximize the mutual information between the current and the previous time frames. Conjugate gradient method is used to solve the optimization problem. Using Cartesian mask to undersample k-space measurements, the proposed method reduces reconstruction error from 3.41% in ModCS, 1.57% in ModCS_Res and 1.16% in CaNNM to 0.61% on average per frame. Moreover, fast reconstruction of images at the rate of 2 to 10 frames per second makes our method a good alternative for current CS based methods in online dynamic MRI applications.
{"title":"Online undersampled dynamic MRI reconstruction using mutual information","authors":"M. Farzi, A. Ghaffari, E. Fatemizadeh","doi":"10.1109/ICBME.2014.7043929","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043929","url":null,"abstract":"We propose an algorithm based on mutual information to address the problem of online reconstruction of dynamic MRI from partial k-space measurements. Most of previous compressed sensing (CS) based methods successfully leverage sparsity constraint for offline reconstruction of MR images, yet they are not used in online applications due to their complexities. In this paper, we formulate the reconstruction as a constraint optimization problem and try to maximize the mutual information between the current and the previous time frames. Conjugate gradient method is used to solve the optimization problem. Using Cartesian mask to undersample k-space measurements, the proposed method reduces reconstruction error from 3.41% in ModCS, 1.57% in ModCS_Res and 1.16% in CaNNM to 0.61% on average per frame. Moreover, fast reconstruction of images at the rate of 2 to 10 frames per second makes our method a good alternative for current CS based methods in online dynamic MRI applications.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126137198","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043887
M. Nabil, P. Zunino, L. Cattaneo
We develop A computational finite element model to study microcirculation and drug delivery to tumors under drug bolus injection into the blood stream. The mathematical model is based on the fundamental laws of filtration and transport in biological tissues at the micro-scale level. The model consists of two separate regions. A network of vessels carrying blood flow (the capillaries), and the surrounding tissue (interstitial volume). A comparison of flow and mass transport in healthy and tumor tissue models is presented using four case studies with different physiological properties.
{"title":"A computational study of microscale flow and mass transport in vasculatized tumors","authors":"M. Nabil, P. Zunino, L. Cattaneo","doi":"10.1109/ICBME.2014.7043887","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043887","url":null,"abstract":"We develop A computational finite element model to study microcirculation and drug delivery to tumors under drug bolus injection into the blood stream. The mathematical model is based on the fundamental laws of filtration and transport in biological tissues at the micro-scale level. The model consists of two separate regions. A network of vessels carrying blood flow (the capillaries), and the surrounding tissue (interstitial volume). A comparison of flow and mass transport in healthy and tumor tissue models is presented using four case studies with different physiological properties.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115074650","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043943
Saeed Salehipour, N. Abolfathi, A. Hashemi
Cell adhesion phenomena has an important role on different behavior of cell. Therefore qualitative and quantitative understanding of cell adhesion force is necessary. A low cost micro device has been developed that can demonstrate cell adhesion force against a specific mechanical stimuli. The device that we developed here allows the measuring cell adhesion. This device is made based on poly methyl methacrylate (PMMA). Finally, to test the system functions, we obtained viscoelastic parameters of cell by applying 10 micron displacement that had a good agreement with literature.
{"title":"Design and fabrication of cell adhesion measuring device","authors":"Saeed Salehipour, N. Abolfathi, A. Hashemi","doi":"10.1109/ICBME.2014.7043943","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043943","url":null,"abstract":"Cell adhesion phenomena has an important role on different behavior of cell. Therefore qualitative and quantitative understanding of cell adhesion force is necessary. A low cost micro device has been developed that can demonstrate cell adhesion force against a specific mechanical stimuli. The device that we developed here allows the measuring cell adhesion. This device is made based on poly methyl methacrylate (PMMA). Finally, to test the system functions, we obtained viscoelastic parameters of cell by applying 10 micron displacement that had a good agreement with literature.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129778692","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 : 2014-11-01DOI: 10.1109/ICBME.2014.7043914
M. Babaee, A. R. Naghsh Nilchi
Three dimensional modeling of organs plays a crucial role in the treatment of cancer and radio vascular diseases. The purpose of this work is 3D modeling of breast vessels using only two uncalibrated two-dimensional mammography images in order to have the patient less exposed to X-ray radiation. In the proposed method, we first optimize the internal and external parameters using a nonlinear optimization framework. To this end, we use the data stored in the header of files and key features in the mammography images. Using the optimized parameters, 3D active contours is proposed for 3D modeling of the vessels. Then using the parameters obtained from the previous step, an initial active curve gradually evolves until the energy of active curve is minimized. The surface reconstruction of the vessels is done by employing the methods converting a set of surface points to lattice surface. The proposed method is implied for a set of mammography images. Assuming optimized parameters are achieved, the method can yield promising 3D reconstruction.
{"title":"3D reconstruction of vessels from two uncalibrated mammography images","authors":"M. Babaee, A. R. Naghsh Nilchi","doi":"10.1109/ICBME.2014.7043914","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043914","url":null,"abstract":"Three dimensional modeling of organs plays a crucial role in the treatment of cancer and radio vascular diseases. The purpose of this work is 3D modeling of breast vessels using only two uncalibrated two-dimensional mammography images in order to have the patient less exposed to X-ray radiation. In the proposed method, we first optimize the internal and external parameters using a nonlinear optimization framework. To this end, we use the data stored in the header of files and key features in the mammography images. Using the optimized parameters, 3D active contours is proposed for 3D modeling of the vessels. Then using the parameters obtained from the previous step, an initial active curve gradually evolves until the energy of active curve is minimized. The surface reconstruction of the vessels is done by employing the methods converting a set of surface points to lattice surface. The proposed method is implied for a set of mammography images. Assuming optimized parameters are achieved, the method can yield promising 3D reconstruction.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116051906","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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