Pub Date : 2013-10-01DOI: 10.1109/ICMIPE.2013.6864516
Haoyu Wang, Yaoqin Xie, S. Bao, Jiani Hu
The purpose of this paper is to investigate the feasibility of similarity coefficient map (SCM) in improving the quality of MR images of spleen by improving signal to noise ratio (SNR) and contrast to noise ratio (CNR), revealing fine structures buried in noise, and integrating the information of each individual image in a series together into one image. To achieve these goals, in vivo experiments were conducted based on the data sets acquired using 12-echo T2* weighted imaging. Preliminary results have demonstrated that compared with the original images, SCM images can (1) improve SNR by 14.50% to 104.44% mainly depending on the SNR in original images, (2) improve CNR by 82.95% to 103.52%, mainly depending on the choice of reference tissue, (3) reveal fine structures hidden in the original images such as tiny veins, and (4) offer a new type of contrast by integrating information of all original images. Moreover, It suggests that the higher the SNR of the reference, the higher the CNR of the resulting SCM images. In conclusion, SCM is a powerful post processing technique for a series of MR images of spleen with varying acquisition parameters. It can improve SNR and CNR, increase the amount of anatomical information by revealing previous invisible fine structures, and produce images with a new type of contrast that integrates information of all original images together.
{"title":"Feasibility of similarity coefficient map in improving quality of magnetic resonance images of spleen","authors":"Haoyu Wang, Yaoqin Xie, S. Bao, Jiani Hu","doi":"10.1109/ICMIPE.2013.6864516","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864516","url":null,"abstract":"The purpose of this paper is to investigate the feasibility of similarity coefficient map (SCM) in improving the quality of MR images of spleen by improving signal to noise ratio (SNR) and contrast to noise ratio (CNR), revealing fine structures buried in noise, and integrating the information of each individual image in a series together into one image. To achieve these goals, in vivo experiments were conducted based on the data sets acquired using 12-echo T2* weighted imaging. Preliminary results have demonstrated that compared with the original images, SCM images can (1) improve SNR by 14.50% to 104.44% mainly depending on the SNR in original images, (2) improve CNR by 82.95% to 103.52%, mainly depending on the choice of reference tissue, (3) reveal fine structures hidden in the original images such as tiny veins, and (4) offer a new type of contrast by integrating information of all original images. Moreover, It suggests that the higher the SNR of the reference, the higher the CNR of the resulting SCM images. In conclusion, SCM is a powerful post processing technique for a series of MR images of spleen with varying acquisition parameters. It can improve SNR and CNR, increase the amount of anatomical information by revealing previous invisible fine structures, and produce images with a new type of contrast that integrates information of all original images together.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"24 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113977274","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}
To investigate the CT findings of gastrocolic ligament involved by acute pancreatitis(AP) and study the correlation between CT findings and CT Severity Index (CTSI) of AP. Methods: Seventy-nine patients with AP were retrospectively reviewed. Balthazar's CT classification of all the patients' was C grade or more. Emphasis was placed on the following findings: the CTSI, the thickness and density of the gastrocolic ligament, fluid collection within the gastrocolic ligament and its scope. Results: Among the 79 patients, 21 patients' CTSI was 8-10, 29 patients' CTSI was 6-7, and 29 patients' CTSI was 4-5. The CT manifestations of gastrocolic ligament involvement in AP include density increasing, stripe shadow, thickness and fluid collection of the gastrocolic ligament. 21 patients showed fluid collection in the gastrocolic ligament. The incidence of gastrocolic ligament involvement was associated with CTSI (P<;0.05). Conclusion: MSCT can demonstrate the details of gastrocolic ligament involvement in AP, which may reflect the severity of AP in a certain extent.
{"title":"The correlative study between CTSI and gastrocolic ligament involvement in acute pancreatitis involving","authors":"Peng Dong, Qi-min Gao, Xi-zhen Wang, Chun-bo Yang, Hua-cheng Chen, Fen Liu, Yan-ming Ge","doi":"10.1109/ICMIPE.2013.6864510","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864510","url":null,"abstract":"To investigate the CT findings of gastrocolic ligament involved by acute pancreatitis(AP) and study the correlation between CT findings and CT Severity Index (CTSI) of AP. Methods: Seventy-nine patients with AP were retrospectively reviewed. Balthazar's CT classification of all the patients' was C grade or more. Emphasis was placed on the following findings: the CTSI, the thickness and density of the gastrocolic ligament, fluid collection within the gastrocolic ligament and its scope. Results: Among the 79 patients, 21 patients' CTSI was 8-10, 29 patients' CTSI was 6-7, and 29 patients' CTSI was 4-5. The CT manifestations of gastrocolic ligament involvement in AP include density increasing, stripe shadow, thickness and fluid collection of the gastrocolic ligament. 21 patients showed fluid collection in the gastrocolic ligament. The incidence of gastrocolic ligament involvement was associated with CTSI (P<;0.05). Conclusion: MSCT can demonstrate the details of gastrocolic ligament involvement in AP, which may reflect the severity of AP in a certain extent.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116692943","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 : 2013-10-01DOI: 10.1109/ICMIPE.2013.6864506
Chen Jian-lin, Zhang Han-ming, Yan Bin, Li Lei, Guan Ming, Wang Lin-yuan
Cone-beam computed tomography (CBCT) is an important technique providing new insights into the inner structure of products in industry and medicine physics. Iterative reconstruction methods have been shown to be more robust than analytical algorithm against the noise and limited angles conditions present in CT. Nevertheless, these methods are not extensively used due to their computational demands. In the iteration algorithm, the matrix of projection is massive and it is very time-consuming to calculate the forward projections and back-projections. In this work, we design a matrix approach that the coefficients of the projection matrix are pre-calculated and simultaneously stored with two compressing formats due to the different sparse structures of the matrix and its transposed matrix. And we implement the corresponding SpMV (sparse matrix-vector multiplication) based on the compressing matrices with GPU platform to realize the acceleration. Experimental results indicate that this method allows efficient implementations of reconstruction in CBCT and it can have a better performance than those with serial computing on CPU.
{"title":"Matrix approach for processing of iterative reconstruction on cone beam CT","authors":"Chen Jian-lin, Zhang Han-ming, Yan Bin, Li Lei, Guan Ming, Wang Lin-yuan","doi":"10.1109/ICMIPE.2013.6864506","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864506","url":null,"abstract":"Cone-beam computed tomography (CBCT) is an important technique providing new insights into the inner structure of products in industry and medicine physics. Iterative reconstruction methods have been shown to be more robust than analytical algorithm against the noise and limited angles conditions present in CT. Nevertheless, these methods are not extensively used due to their computational demands. In the iteration algorithm, the matrix of projection is massive and it is very time-consuming to calculate the forward projections and back-projections. In this work, we design a matrix approach that the coefficients of the projection matrix are pre-calculated and simultaneously stored with two compressing formats due to the different sparse structures of the matrix and its transposed matrix. And we implement the corresponding SpMV (sparse matrix-vector multiplication) based on the compressing matrices with GPU platform to realize the acceleration. Experimental results indicate that this method allows efficient implementations of reconstruction in CBCT and it can have a better performance than those with serial computing on CPU.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131425454","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 : 2013-10-01DOI: 10.1109/ICMIPE.2013.6864566
Fangfang Jiang, Sijia Sun
The identification method based on biometric identification technology application of previous research mainly on external characteristics such as fingerprint, face, but in recent years the appearing of fake fingerprints technology makes people information security be badly affected. This paper proposed an identity recognition method based on the power spectral analysis of pulse wave signal from finger. Because the pulse wave signals of each subject are unique and difficult to copy and imitate, the security of this method will be higher than that of the traditional methods. The final experiment results demonstrate the feasibility and accuracy of the proposed method.
{"title":"Identity recognition based on power spectral analysis of pulse wave signal","authors":"Fangfang Jiang, Sijia Sun","doi":"10.1109/ICMIPE.2013.6864566","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864566","url":null,"abstract":"The identification method based on biometric identification technology application of previous research mainly on external characteristics such as fingerprint, face, but in recent years the appearing of fake fingerprints technology makes people information security be badly affected. This paper proposed an identity recognition method based on the power spectral analysis of pulse wave signal from finger. Because the pulse wave signals of each subject are unique and difficult to copy and imitate, the security of this method will be higher than that of the traditional methods. The final experiment results demonstrate the feasibility and accuracy of the proposed method.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134347539","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 : 2013-10-01DOI: 10.1109/ICMIPE.2013.6864536
Yue Zhao, Yongtao Wei, Xiaoyu Cui, Luxuan Qu, Lin Liu, Yusong Wang
3D display can reflect the image depth information and make the image present stereoscopic sensation to improve the medical imaging effect and diagnosis accuracy, if the technology can be used in image guide surgery to diagnose lesion location. This paper will mainly elaborate some advanced naked eye 3D display technologies - multi-view auto-stereoscopic display technology, integral photography 3D display technology and holographic 3D display technology. At last, image guide surgery based on interactive 3D navigation system is proposed. Meanwhile, this paper indicates the trend of medical imaging fields.
{"title":"3D display technology in medical imaging field","authors":"Yue Zhao, Yongtao Wei, Xiaoyu Cui, Luxuan Qu, Lin Liu, Yusong Wang","doi":"10.1109/ICMIPE.2013.6864536","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864536","url":null,"abstract":"3D display can reflect the image depth information and make the image present stereoscopic sensation to improve the medical imaging effect and diagnosis accuracy, if the technology can be used in image guide surgery to diagnose lesion location. This paper will mainly elaborate some advanced naked eye 3D display technologies - multi-view auto-stereoscopic display technology, integral photography 3D display technology and holographic 3D display technology. At last, image guide surgery based on interactive 3D navigation system is proposed. Meanwhile, this paper indicates the trend of medical imaging fields.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125245526","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 : 2013-10-01DOI: 10.1109/ICMIPE.2013.6864526
Lei Zhu, Minglei Yang, Jingang Kang, H. Ding, Guangzhi Wang
Ultrasound image fusion has been widely used in interventional surgeries, providing surgeons both detailed structural information via CT/MRI and real-time ultrasound information. However, patient respiration induced quasi-periodic organ motion usually leads to unacceptable registration and fusion errors. In this paper, we propose a method to build a patient specific respiratory motion model and make respiration displacement correction accordingly. An additional EM body sensor is introduced to provide respiration information. Block matching and least mean square approaches are applied on a training ultrasound sequence to build patient specific respiratory model. Displacement correction can then be carried out in real time with this model and the EM body sensor's position. Preliminary test shows that this method can effectively reduce the respiration-induced registration error.
{"title":"A respiration correction method for real-time ultrasound image fusion with pre-acquired 3D dataset","authors":"Lei Zhu, Minglei Yang, Jingang Kang, H. Ding, Guangzhi Wang","doi":"10.1109/ICMIPE.2013.6864526","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864526","url":null,"abstract":"Ultrasound image fusion has been widely used in interventional surgeries, providing surgeons both detailed structural information via CT/MRI and real-time ultrasound information. However, patient respiration induced quasi-periodic organ motion usually leads to unacceptable registration and fusion errors. In this paper, we propose a method to build a patient specific respiratory motion model and make respiration displacement correction accordingly. An additional EM body sensor is introduced to provide respiration information. Block matching and least mean square approaches are applied on a training ultrasound sequence to build patient specific respiratory model. Displacement correction can then be carried out in real time with this model and the EM body sensor's position. Preliminary test shows that this method can effectively reduce the respiration-induced registration error.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130583390","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 : 2013-10-01DOI: 10.1109/ICMIPE.2013.6864505
Guihong Yuan, Z. Zhuo, Haiyun Li
Objective To investigate the differences of cerebral grey matter atrophy over time between MCI (Mild Cognitive Impairment) and NC (Normal Control), and further investigate the differences of cerebral grey matter atrophy between SMCI (Stable MCI) and PMCI (Progressive MCI). Methods Based on improved VBM-DARTEL method, NC and MCI longitudinal datasets of 3 years were processed. Firstly, the atrophy patterns and atrophy rates of NC and MCI were obtained. Then, the differences of atrophy within some certain cerebral regions between SMCI and PMCI were explored applying the ROI (Regions of Interest) method. Fractal dimensions were also applied to describe the texture features of the atrophy regions within ROIs and differences of atrophy rates were also calculated. Results With the time varying, the atrophy regions were gradually expanding. In MCI, the atrophy pace was faster and the atrophy rate at the same time point was higher than that in NC. By longitudinal comparison between SMCI and PMCI, it was found that the atrophy in PMCI appeared earlier in the hippocampus, the temporal lobe, the cingulate gyrus and the caudate nucleus and showed an increasing atrophy rate and decreasing fractal dimensions. Conclusions VBM-DARTEL method can be applied to study the cerebral grey matter atrophy effectively. The results showed that the cerebral grey matter changing over time was more obvious in MCI, which can be used to diagnose early AD. Compared to SMCI, there appeared more obvious atrophy in some certain regions of cerebral grey matter in PMCI. So these atrophy differences between SMCI and PMCI can be the evidence to identify PMCI and was of help for clinical diagnosis, clinical intervention and clinical treatment of early AD.
{"title":"Longitudinal progression of grey matter atrophy morphological characteristics in MCI patients","authors":"Guihong Yuan, Z. Zhuo, Haiyun Li","doi":"10.1109/ICMIPE.2013.6864505","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864505","url":null,"abstract":"Objective To investigate the differences of cerebral grey matter atrophy over time between MCI (Mild Cognitive Impairment) and NC (Normal Control), and further investigate the differences of cerebral grey matter atrophy between SMCI (Stable MCI) and PMCI (Progressive MCI). Methods Based on improved VBM-DARTEL method, NC and MCI longitudinal datasets of 3 years were processed. Firstly, the atrophy patterns and atrophy rates of NC and MCI were obtained. Then, the differences of atrophy within some certain cerebral regions between SMCI and PMCI were explored applying the ROI (Regions of Interest) method. Fractal dimensions were also applied to describe the texture features of the atrophy regions within ROIs and differences of atrophy rates were also calculated. Results With the time varying, the atrophy regions were gradually expanding. In MCI, the atrophy pace was faster and the atrophy rate at the same time point was higher than that in NC. By longitudinal comparison between SMCI and PMCI, it was found that the atrophy in PMCI appeared earlier in the hippocampus, the temporal lobe, the cingulate gyrus and the caudate nucleus and showed an increasing atrophy rate and decreasing fractal dimensions. Conclusions VBM-DARTEL method can be applied to study the cerebral grey matter atrophy effectively. The results showed that the cerebral grey matter changing over time was more obvious in MCI, which can be used to diagnose early AD. Compared to SMCI, there appeared more obvious atrophy in some certain regions of cerebral grey matter in PMCI. So these atrophy differences between SMCI and PMCI can be the evidence to identify PMCI and was of help for clinical diagnosis, clinical intervention and clinical treatment of early AD.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129584948","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}
Breast tumor detection is a most effective way to immunized against mammary cancer. It is known that the sort algorithm of extreme learning machine(ELM), in view of the feature model for breast X-ray image, is being applied in the computer aided detection of breast masses. On the basis of all these, it is raised in this paper that marking for the suspicious region in the double view mammography by the use of ELM, then classifying the result of double views marking by using the Simple Bias classifier and finally gaining the detection result. The experiment with 444 cases or 222 pair of X-ray mammography from Liao Ning Province Cancer Hospital shows that, the breast tumor detection in double views mammography based on Simple Bias is an available and effective way to detect breast tumor. Key Words: Extreme learning machine, Simple Bias, mammography, double views, tumor detection.
{"title":"Breast tumor detection in double views mammography based on Simple Bias","authors":"Shiya Zhang, Zhongzhou Chen, Sheng Gu, Xihe Qiu, Qixun Qu, Zhiqiong Wang","doi":"10.1109/ICMIPE.2013.6864543","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864543","url":null,"abstract":"Breast tumor detection is a most effective way to immunized against mammary cancer. It is known that the sort algorithm of extreme learning machine(ELM), in view of the feature model for breast X-ray image, is being applied in the computer aided detection of breast masses. On the basis of all these, it is raised in this paper that marking for the suspicious region in the double view mammography by the use of ELM, then classifying the result of double views marking by using the Simple Bias classifier and finally gaining the detection result. The experiment with 444 cases or 222 pair of X-ray mammography from Liao Ning Province Cancer Hospital shows that, the breast tumor detection in double views mammography based on Simple Bias is an available and effective way to detect breast tumor. Key Words: Extreme learning machine, Simple Bias, mammography, double views, tumor detection.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122041982","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 : 2013-10-01DOI: 10.1109/ICMIPE.2013.6864531
Yiheng Zhu, M. Qian, L. Niu, Guangwen Lu, Hairong Zheng
Purpose: Hemodynamic changes in vascular stenosis could affect blood flow component of flow distribution which changed the nature of vascular smooth muscle cells. Observation and analysis of blood flow in the heart disease have important clinical significance of treatments of arterial stenosis. Method: The ultrasonic particle image velocimetry (Echo PIV) technique is appropriate for measuring blood flows by taking advantage of PIV and B-mode ultrasound contrast imaging. This study established animal models. 60 healthy male SD rats were selected and divided into 6 groups. On the 21st day of establishment of vascular stenosis model and drug treatment, the left common carotid artery of rats in groups was observed with ultrasound biomicroscopy. Morphological and hemodynamic changes in the normal blood vessels and the stenosis of the lumen were observed with application of Echo PIV. The reliability of Echo PIV was verified by comparing with ultrasonic Doppler velocimetry methods. Conclusion: Animal studies concerning arterial flows of rats show that the Echo PIV-measured peak and average velocities within several cardiac cycles are about 5-10% and 2-8% below the values measured by the ultrasonic spectral Doppler, respectively. Echo PIV method could directly assess whole field hemodynamic changes of normal blood vessels and vascular stenosis with non-invasion and real-time monitoring of restenosis therapy. It further to explore the prevention and treatment of restenosis and vascular plaque rupture mechanism.
{"title":"Application of ultrasonic particle imaging velocimetry to flows of rat arteries atherosclerosis model","authors":"Yiheng Zhu, M. Qian, L. Niu, Guangwen Lu, Hairong Zheng","doi":"10.1109/ICMIPE.2013.6864531","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864531","url":null,"abstract":"Purpose: Hemodynamic changes in vascular stenosis could affect blood flow component of flow distribution which changed the nature of vascular smooth muscle cells. Observation and analysis of blood flow in the heart disease have important clinical significance of treatments of arterial stenosis. Method: The ultrasonic particle image velocimetry (Echo PIV) technique is appropriate for measuring blood flows by taking advantage of PIV and B-mode ultrasound contrast imaging. This study established animal models. 60 healthy male SD rats were selected and divided into 6 groups. On the 21st day of establishment of vascular stenosis model and drug treatment, the left common carotid artery of rats in groups was observed with ultrasound biomicroscopy. Morphological and hemodynamic changes in the normal blood vessels and the stenosis of the lumen were observed with application of Echo PIV. The reliability of Echo PIV was verified by comparing with ultrasonic Doppler velocimetry methods. Conclusion: Animal studies concerning arterial flows of rats show that the Echo PIV-measured peak and average velocities within several cardiac cycles are about 5-10% and 2-8% below the values measured by the ultrasonic spectral Doppler, respectively. Echo PIV method could directly assess whole field hemodynamic changes of normal blood vessels and vascular stenosis with non-invasion and real-time monitoring of restenosis therapy. It further to explore the prevention and treatment of restenosis and vascular plaque rupture mechanism.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122299922","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 : 2013-10-01DOI: 10.1109/ICMIPE.2013.6864559
Yi Gao, J. Rong, X. Jing
In recent years, photoacoustic tomography (PAT) has caused more and more attention all over the word. As a novel medical imaging modality, it is proved to be non-invasive and high sensitivity. Photoacoustic tomography combines the advantages of both optical imaging and ultrasound imaging, which means high contrast and high resolution. According to the merits of photoacoustic tomography, in our experiments, we used the unfocused transducers with different central frequency such as 2.25MHz, 5MHz, 10MHz, to make photoacoustic tomography research on varisized and diverse target object in phantom, which was used to analyze the influence factors of image resolution. In this paper, we mainly discussed the impact of transducer's central frequency on the image reconstructed results with different experimental samples.
{"title":"The effect of different center frequency of transducers on the photoacoustic tomography","authors":"Yi Gao, J. Rong, X. Jing","doi":"10.1109/ICMIPE.2013.6864559","DOIUrl":"https://doi.org/10.1109/ICMIPE.2013.6864559","url":null,"abstract":"In recent years, photoacoustic tomography (PAT) has caused more and more attention all over the word. As a novel medical imaging modality, it is proved to be non-invasive and high sensitivity. Photoacoustic tomography combines the advantages of both optical imaging and ultrasound imaging, which means high contrast and high resolution. According to the merits of photoacoustic tomography, in our experiments, we used the unfocused transducers with different central frequency such as 2.25MHz, 5MHz, 10MHz, to make photoacoustic tomography research on varisized and diverse target object in phantom, which was used to analyze the influence factors of image resolution. In this paper, we mainly discussed the impact of transducer's central frequency on the image reconstructed results with different experimental samples.","PeriodicalId":135461,"journal":{"name":"2013 IEEE International Conference on Medical Imaging Physics and Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128341927","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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