Pub Date : 2001-06-10DOI: 10.1109/MIAR.2001.930275
Y. Kato, Takeo Matsumoto, K. Kumagai, H. Akimoto, K. Tabayashi, Masaaki Sato
Most patients die when thoracic aortic aneurysms rupture. In order to avoid the ruptures, the aneurysms are replaced with aortic prostheses when their maximum diameter exceeds 5 cm. Because this criterion is based on the experiences, some aneurysms rupture even if the diameters are smaller than this criterion. To treat the aneurysm properly, it is necessary to find out the new criterion. The rupture is thought to have a close relationship with the stress in the wall. Hence, there is much research about the stress, but this research uses the straight tube model. The model shape does not seem appropriate to a thoracic aorta shape. Hence, we developed the method to construct three-dimensional finite element models of thoracic aortic aneurysms from MRI images.
{"title":"Development of a method to construct three-dimensional finite element models of thoracic aortic aneurysms from MRI images","authors":"Y. Kato, Takeo Matsumoto, K. Kumagai, H. Akimoto, K. Tabayashi, Masaaki Sato","doi":"10.1109/MIAR.2001.930275","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930275","url":null,"abstract":"Most patients die when thoracic aortic aneurysms rupture. In order to avoid the ruptures, the aneurysms are replaced with aortic prostheses when their maximum diameter exceeds 5 cm. Because this criterion is based on the experiences, some aneurysms rupture even if the diameters are smaller than this criterion. To treat the aneurysm properly, it is necessary to find out the new criterion. The rupture is thought to have a close relationship with the stress in the wall. Hence, there is much research about the stress, but this research uses the straight tube model. The model shape does not seem appropriate to a thoracic aorta shape. Hence, we developed the method to construct three-dimensional finite element models of thoracic aortic aneurysms from MRI images.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"499 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116326966","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930289
Bin Lee, T. Zhuang
Image segmentation is an important process in computer vision. Most of the currently popular methods tracking the object edge depend on the pixel gray value. Because of the noise in images, the pixel resolving and the precision of the detection method itself, the detected contours are far from smooth and with many tiny zigzags, which will affect the subsequent processing, such as image recognition, image feature detection, etc. This paper puts forwards a novel method to get a smooth contour in the image segmentation process. Firstly, adopt a dynamic programming algorithm to process the object image and to get a global optimal boundary, then smooth and fit the boundary by an adaptive B-spline, which adjusts the control points depending on the contour curvature. Practical numerical experimental results show that this method has stronger edge detection ability and has produced smoother contour curves than other methods and without losing the edge feature at the same time.
{"title":"Adopt adaptive B-spline to embellish contours in image segmentation","authors":"Bin Lee, T. Zhuang","doi":"10.1109/MIAR.2001.930289","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930289","url":null,"abstract":"Image segmentation is an important process in computer vision. Most of the currently popular methods tracking the object edge depend on the pixel gray value. Because of the noise in images, the pixel resolving and the precision of the detection method itself, the detected contours are far from smooth and with many tiny zigzags, which will affect the subsequent processing, such as image recognition, image feature detection, etc. This paper puts forwards a novel method to get a smooth contour in the image segmentation process. Firstly, adopt a dynamic programming algorithm to process the object image and to get a global optimal boundary, then smooth and fit the boundary by an adaptive B-spline, which adjusts the control points depending on the contour curvature. Practical numerical experimental results show that this method has stronger edge detection ability and has produced smoother contour curves than other methods and without losing the edge feature at the same time.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123472408","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930285
Bin Lee, Jia-yong Yan, T. Zhuang
This paper explores a novel dynamic programming (DP) based optimal technique in ultrasound image (USI) edge detection, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, we want to find a global optimal contour with connectedness and closeness. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM nonlinear enhancement filter and Gaussian preprocessor, this method shows robustness on noisy image edge detection.
{"title":"A dynamic programming based algorithm for optimal edge detection in medical images","authors":"Bin Lee, Jia-yong Yan, T. Zhuang","doi":"10.1109/MIAR.2001.930285","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930285","url":null,"abstract":"This paper explores a novel dynamic programming (DP) based optimal technique in ultrasound image (USI) edge detection, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, we want to find a global optimal contour with connectedness and closeness. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM nonlinear enhancement filter and Gaussian preprocessor, this method shows robustness on noisy image edge detection.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122382552","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930259
Zou Qingsong, C. Kwoh, W. Ng
We present a new volume visualization scheme, context based volume visualization to assist the surgeon in surgical planning. This visualization scheme differs from ordinary surface based rendering and volume rendering by providing a framework to combine surface based rendering and volume rendering. We can achieve the powerful manipulating capability of surface based rendering and as good a rendering effect as volume rendering at the same time. Using a special data structured-segment tree to manage the visualization scene, which includes all the volume objects and graphics objects (the surgical tools) needed to be visualized, this visualization scheme provides a common context based interface for both graphics objects and volume objects, through which, we can control graphics and volume objects easily in the same way. The context based visualization scheme can greatly increase the performance of volume visualization by generating the scene much faster through selectively revisualizing the affected objects. Based on these ideas, we implement an interactive surgical planning system, Virtual Doctor based on OpenGL 1.1 on WinNT platform and VolumePro vg500 card. This system is a good 3D volume visualization tool and augmented reality system for interactive surgical planning and further research in this area.
{"title":"Interactive surgical planning using context based volume visualization techniques","authors":"Zou Qingsong, C. Kwoh, W. Ng","doi":"10.1109/MIAR.2001.930259","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930259","url":null,"abstract":"We present a new volume visualization scheme, context based volume visualization to assist the surgeon in surgical planning. This visualization scheme differs from ordinary surface based rendering and volume rendering by providing a framework to combine surface based rendering and volume rendering. We can achieve the powerful manipulating capability of surface based rendering and as good a rendering effect as volume rendering at the same time. Using a special data structured-segment tree to manage the visualization scene, which includes all the volume objects and graphics objects (the surgical tools) needed to be visualized, this visualization scheme provides a common context based interface for both graphics objects and volume objects, through which, we can control graphics and volume objects easily in the same way. The context based visualization scheme can greatly increase the performance of volume visualization by generating the scene much faster through selectively revisualizing the affected objects. Based on these ideas, we implement an interactive surgical planning system, Virtual Doctor based on OpenGL 1.1 on WinNT platform and VolumePro vg500 card. This system is a good 3D volume visualization tool and augmented reality system for interactive surgical planning and further research in this area.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121403334","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930268
X. Pennec, N. Ayache, A. Roche, P. Cathier
During a neuro-surgical intervention, the brain tissues shift and warp. In order to keep an accurate positioning of the surgical instruments, one has to estimate this deformation from intra-operative images. 3D ultrasound (US) imaging is an innovative and low-cost modality which appears to be suited for such computer-assisted surgery tools. We present a new image-based technique to register intra-operative 3D US with pre-operative magnetic resonance (MR) data. A first automatic rigid registration is achieved by the maximisation of a similarity measure that generalises the correlation ratio. Then, brain deformations are tracked in the 3D US time-sequence using a "demon's" like algorithm. Experiments show that a registration accuracy of the MR voxel size is achieved for the rigid part, and a qualitative accuracy of a few millimetres could be obtained for the complete tracking system.
{"title":"Non-rigid MR/US registration for tracking brain deformations","authors":"X. Pennec, N. Ayache, A. Roche, P. Cathier","doi":"10.1109/MIAR.2001.930268","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930268","url":null,"abstract":"During a neuro-surgical intervention, the brain tissues shift and warp. In order to keep an accurate positioning of the surgical instruments, one has to estimate this deformation from intra-operative images. 3D ultrasound (US) imaging is an innovative and low-cost modality which appears to be suited for such computer-assisted surgery tools. We present a new image-based technique to register intra-operative 3D US with pre-operative magnetic resonance (MR) data. A first automatic rigid registration is achieved by the maximisation of a similarity measure that generalises the correlation ratio. Then, brain deformations are tracked in the 3D US time-sequence using a \"demon's\" like algorithm. Experiments show that a registration accuracy of the MR voxel size is achieved for the rigid part, and a qualitative accuracy of a few millimetres could be obtained for the complete tracking system.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131922568","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930262
L. Bartels, C. Bakker, C. Bos, R. V. D. Weide, M. Viergever
Several groups have been working on the development of new techniques for performing endovascular radiological interventions guided by magnetic resonance imaging (MRI) instead of X-ray fluoroscopy. We briefly review the three main strategies that have been proposed for performing MR-guided endovascular interventions: active tracking, passive tracking and the technique of locally induced field inhomogeneity. For each approach, the used MR scan techniques, image processing and visualization tools, the development of MR-dedicated guide wires and catheters, and the main results are discussed.
{"title":"MR guidance of vascular interventions","authors":"L. Bartels, C. Bakker, C. Bos, R. V. D. Weide, M. Viergever","doi":"10.1109/MIAR.2001.930262","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930262","url":null,"abstract":"Several groups have been working on the development of new techniques for performing endovascular radiological interventions guided by magnetic resonance imaging (MRI) instead of X-ray fluoroscopy. We briefly review the three main strategies that have been proposed for performing MR-guided endovascular interventions: active tracking, passive tracking and the technique of locally induced field inhomogeneity. For each approach, the used MR scan techniques, image processing and visualization tools, the development of MR-dedicated guide wires and catheters, and the main results are discussed.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134291925","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930263
Yi Wang
This paper is a summary discourse on the real time navigator approach to suppressing motion effects in coronary magnetic resonance angiography. The concept of the navigator approach, characteristics of coronary motion, design of navigator echoes for motion measurements, and navigator algorithms for motion effect suppression are reviewed and discussed. At the conclusion, an efficient and effective navigator method is suggested for suppressing motion effects in coronary MRA.
{"title":"Real-time navigator approach to motion problems in coronary MRA","authors":"Yi Wang","doi":"10.1109/MIAR.2001.930263","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930263","url":null,"abstract":"This paper is a summary discourse on the real time navigator approach to suppressing motion effects in coronary magnetic resonance angiography. The concept of the navigator approach, characteristics of coronary motion, design of navigator echoes for motion measurements, and navigator algorithms for motion effect suppression are reviewed and discussed. At the conclusion, an efficient and effective navigator method is suggested for suppressing motion effects in coronary MRA.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121613504","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930283
Albert K. W. Law, Hui Zhu, F. K. Lam, Francis H. Y. Chan, B.C.B. Chan, P. P. Iu
In this paper, we present a new approach for the extraction of brain tumor boundary in a series of 2D MR image slices. The shape and position of tumor in one slice could be assumed to be similar to that in its neighboring slices. Using this correlation between consecutive images, the initial plan applied for each slice is extracted from the resulting boundary of the previous slice. The tumor boundary is located using region and contour deformation, which tolerates a rough initial plan. Therefore, only one coarse manual initial plan is required for the whole series of MR image slices. Performance of our approach is evaluated on MR image set. Comparisons with manual tracing show the accuracy and effectiveness of our approach.
{"title":"Tumor boundary extraction in multislice MR brain images using region and contour deformation","authors":"Albert K. W. Law, Hui Zhu, F. K. Lam, Francis H. Y. Chan, B.C.B. Chan, P. P. Iu","doi":"10.1109/MIAR.2001.930283","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930283","url":null,"abstract":"In this paper, we present a new approach for the extraction of brain tumor boundary in a series of 2D MR image slices. The shape and position of tumor in one slice could be assumed to be similar to that in its neighboring slices. Using this correlation between consecutive images, the initial plan applied for each slice is extracted from the resulting boundary of the previous slice. The tumor boundary is located using region and contour deformation, which tolerates a rough initial plan. Therefore, only one coarse manual initial plan is required for the whole series of MR image slices. Performance of our approach is evaluated on MR image set. Comparisons with manual tracing show the accuracy and effectiveness of our approach.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132592012","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930277
Zhi-Pei Liang
Many imaging applications require the acquisition of a time series of images. In conventional Fourier transform-based imaging methods, each of these images is acquired independently. As a result, the temporal resolution possible is limited by the number of data points collected for each data set, or one often was to sacrifice spatial resolution for temporal resolution. To overcome this problem, several "data-sharing" methods have been proposed which acquire one or more high-resolution reference images and a sequence of reduced dynamic data sets. This paper is devoted to the discussion of a generalized series-based dynamic imaging method, which is an optimal implementation of the data-sharing principle. Several application examples are also presented to illustrate its effectiveness for high-resolution dynamic imaging.
{"title":"Generalized series dynamic imaging","authors":"Zhi-Pei Liang","doi":"10.1109/MIAR.2001.930277","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930277","url":null,"abstract":"Many imaging applications require the acquisition of a time series of images. In conventional Fourier transform-based imaging methods, each of these images is acquired independently. As a result, the temporal resolution possible is limited by the number of data points collected for each data set, or one often was to sacrifice spatial resolution for temporal resolution. To overcome this problem, several \"data-sharing\" methods have been proposed which acquire one or more high-resolution reference images and a sequence of reduced dynamic data sets. This paper is devoted to the discussion of a generalized series-based dynamic imaging method, which is an optimal implementation of the data-sharing principle. Several application examples are also presented to illustrate its effectiveness for high-resolution dynamic imaging.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130432014","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 : 2001-06-10DOI: 10.1109/MIAR.2001.930264
J. Keegan, P. Gatehouse, P. Jhooti, D. Firmin, Guang-Zhong Yang
The field of cardiac MR is becoming an increasingly important area of research and development. Recent improvements in system hardware are in part driven by and in part driving the very rapid progress that is being made in the area. The relatively slow initial development has been a result of the very complex and to a large extent unpredictable nature of the motion of the heart itself and blood flow within it. An understanding of these issues has been important for two reasons. Firstly, to develop methods of improving image quality in the presence of such flows and motions and secondly to measure these physiological parameters, that may have important implications to the status of the cardiovascular system, for guidance and monitoring of clinical intervention. This paper overviews the issues and problems of flow and motion on MR. It then discusses the methods that have been developed to address and reduce the impact of these and also describes some of the approaches to measuring these parameters.
{"title":"Flow and motion: implications on cardiac MR","authors":"J. Keegan, P. Gatehouse, P. Jhooti, D. Firmin, Guang-Zhong Yang","doi":"10.1109/MIAR.2001.930264","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930264","url":null,"abstract":"The field of cardiac MR is becoming an increasingly important area of research and development. Recent improvements in system hardware are in part driven by and in part driving the very rapid progress that is being made in the area. The relatively slow initial development has been a result of the very complex and to a large extent unpredictable nature of the motion of the heart itself and blood flow within it. An understanding of these issues has been important for two reasons. Firstly, to develop methods of improving image quality in the presence of such flows and motions and secondly to measure these physiological parameters, that may have important implications to the status of the cardiovascular system, for guidance and monitoring of clinical intervention. This paper overviews the issues and problems of flow and motion on MR. It then discusses the methods that have been developed to address and reduce the impact of these and also describes some of the approaches to measuring these parameters.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133859532","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：