Pub Date : 2001-06-10DOI: 10.1109/MIAR.2001.930301
Jianxin Gao, Guang-Zhong Yang, Zuquan Ding
This paper presents a novel three-dimensional finite element generation method for assessing the biomechanical behavior of multi-connected complex teeth and mandible structure. A tetrahedron was chosen as the basic element type for its adaptability to structures with different geometrical complexities. The element generation was implemented by combining two tetragons in adjacent image slices. By examining all combinations of tetragons and their degradations, a software system was developed for interactive element generation, which results in a series of tetrahedrons based on the principle that each combination should lead to elements with exact and close connection. Extensive validation was performed to ensure the accuracy of the algorithm. The method was applied to an occlusive functional analysis of dental prosthetics, generating 4762 nodes and 18534 tetrahedral elements with 9 different materials.
{"title":"3-D element generation for multi-connected complex dental and mandibular structure","authors":"Jianxin Gao, Guang-Zhong Yang, Zuquan Ding","doi":"10.1109/MIAR.2001.930301","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930301","url":null,"abstract":"This paper presents a novel three-dimensional finite element generation method for assessing the biomechanical behavior of multi-connected complex teeth and mandible structure. A tetrahedron was chosen as the basic element type for its adaptability to structures with different geometrical complexities. The element generation was implemented by combining two tetragons in adjacent image slices. By examining all combinations of tetragons and their degradations, a software system was developed for interactive element generation, which results in a series of tetrahedrons based on the principle that each combination should lead to elements with exact and close connection. Extensive validation was performed to ensure the accuracy of the algorithm. The method was applied to an occlusive functional analysis of dental prosthetics, generating 4762 nodes and 18534 tetrahedral elements with 9 different materials.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"17 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":"134312914","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.2001.930265
S. Masood, G. Estcourt, Guang-Zhong Yang, P. Gatehouse, D. Firmin
Magnetic resonance (MR) imaging has shown great promise in the assessment of cardiac anatomy and function. The most commonly used techniques for measuring cardiac deformation are MR tagging and velocity mapping methods. The quantitative analysis of these images at present, however, is time-consuming and requires considerable user interaction. The purpose of this paper is to introduce a virtual tagging method that combines the advantages of both imaging techniques. It allows easy visualization of cardiac deformation and permits a quantitative analysis of the strain at different phases of the cardiac cycle. The method used is to "float" a virtual grid above the underlying velocity data. The intersections of the grid move as a function of the velocities within each quadrilateral contained by the intersection points. This representation allows the user to clearly visualize the underlying data and the deformation of the grid. The deformation can also be used to quantify physical indices such as strain and strain rate.
{"title":"Virtual tagging for analysing cardiac deformation","authors":"S. Masood, G. Estcourt, Guang-Zhong Yang, P. Gatehouse, D. Firmin","doi":"10.1109/MIAR.2001.930265","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930265","url":null,"abstract":"Magnetic resonance (MR) imaging has shown great promise in the assessment of cardiac anatomy and function. The most commonly used techniques for measuring cardiac deformation are MR tagging and velocity mapping methods. The quantitative analysis of these images at present, however, is time-consuming and requires considerable user interaction. The purpose of this paper is to introduce a virtual tagging method that combines the advantages of both imaging techniques. It allows easy visualization of cardiac deformation and permits a quantitative analysis of the strain at different phases of the cardiac cycle. The method used is to \"float\" a virtual grid above the underlying velocity data. The intersections of the grid move as a function of the velocities within each quadrilateral contained by the intersection points. This representation allows the user to clearly visualize the underlying data and the deformation of the grid. The deformation can also be used to quantify physical indices such as strain and strain rate.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"97 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":"127160435","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.2001.930269
W. Nowinski, C. Chui
We describe the design and development of a computer environment for planning interventional neuroradiology procedures. The Neuroradiology Catheterization Simulator called NeuroCath is intended for interventional procedures involving vascular malformations, such as aneurysms, stenosis, and AVMs. NeuroCath include extraction and construction of a vascular model from different imaging modalities that represents the anatomy of patient in a computationally efficient manner, and a FEM-based physical model that simulates the behavior between the devices and cerebral vasculature. This model comprises topology, geometry (normal and pathological), and physical properties of the patient-specific vasculature. It also provides a reliable measurement of distance and volume allowing calculation of the size of vessels and aneurysms. A realistic visual interface with multiple, synchronized windows is developed. The visual interface comprises of fluoroscopic display that duplicates the views to be seen in actual intentional procedures, and other displays that enhance interpretation of the anatomy of the patient. The hybrid volume and surface renderer provides insight into inferior and exterior of patient's vasculature. NeuroCath is also provided with the haptic apparatus that gives the interventional neuroradiologist the sense of touch during intervention planning and training.
{"title":"Simulation of interventional neuroradiology procedures","authors":"W. Nowinski, C. Chui","doi":"10.1109/MIAR.2001.930269","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930269","url":null,"abstract":"We describe the design and development of a computer environment for planning interventional neuroradiology procedures. The Neuroradiology Catheterization Simulator called NeuroCath is intended for interventional procedures involving vascular malformations, such as aneurysms, stenosis, and AVMs. NeuroCath include extraction and construction of a vascular model from different imaging modalities that represents the anatomy of patient in a computationally efficient manner, and a FEM-based physical model that simulates the behavior between the devices and cerebral vasculature. This model comprises topology, geometry (normal and pathological), and physical properties of the patient-specific vasculature. It also provides a reliable measurement of distance and volume allowing calculation of the size of vessels and aneurysms. A realistic visual interface with multiple, synchronized windows is developed. The visual interface comprises of fluoroscopic display that duplicates the views to be seen in actual intentional procedures, and other displays that enhance interpretation of the anatomy of the patient. The hybrid volume and surface renderer provides insight into inferior and exterior of patient's vasculature. NeuroCath is also provided with the haptic apparatus that gives the interventional neuroradiologist the sense of touch during intervention planning and training.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"21 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":"121198200","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.2001.930286
Fuhuan Chen, Jun Xie, Hong Zhang, D. Xia
This paper analyzes the cause of cells fallen off into pleural effusion, and its effect on diagnosis of lung cancer. According to features of cancer cells in morphology and structure, the responding presentations in wavelet analysis and morphology are discussed. Some gray-scale features and gray-scale gradient features based on wavelet analysis, and some morphology features about edge intensity are presented. Based on these features a backpropagation neural network is constructed to recognize cancer cells fallen off into pleural effusion. Experimental results show that this method has a high recognition ratio.
{"title":"A technique based on wavelet and morphology transform to recognize the cancer cell in pleural effusion","authors":"Fuhuan Chen, Jun Xie, Hong Zhang, D. Xia","doi":"10.1109/MIAR.2001.930286","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930286","url":null,"abstract":"This paper analyzes the cause of cells fallen off into pleural effusion, and its effect on diagnosis of lung cancer. According to features of cancer cells in morphology and structure, the responding presentations in wavelet analysis and morphology are discussed. Some gray-scale features and gray-scale gradient features based on wavelet analysis, and some morphology features about edge intensity are presented. Based on these features a backpropagation neural network is constructed to recognize cancer cells fallen off into pleural effusion. Experimental results show that this method has a high recognition ratio.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"17 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":"123128604","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.2001.930295
W. Jeng, David J. Yang
By quantifying the emission counts of positron-electron annihilation, PET provides a unique way of studying physiological and metabolic functions of the human body. The PET images can be reconstructed by iterative methods, e.g., the expectation maximization (EM) algorithm. The computation-bound problem is expected to be exacerbated due to the ever-increasing demand for faster image reconstruction and higher resolution PET images. As Java technology matures, a number of parallel/distributed applications are implemented in Java because of its rich sets of packages. We propose the design and implementation of a component-based parallel software system to facilitate the PET image reconstruction process on a clustered environment. Performance issues are addressed in the design of the system, which are essential to the success of any parallel computing environment. The system introduces the Java Bean component model and class libraries which are written in Java and that run on any machine that implements the Java Virtual Machine. It is user friendly and its operation requires little software/hardware knowledge from the user.
{"title":"A component-based parallel PET image reconstruction visual system","authors":"W. Jeng, David J. Yang","doi":"10.1109/MIAR.2001.930295","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930295","url":null,"abstract":"By quantifying the emission counts of positron-electron annihilation, PET provides a unique way of studying physiological and metabolic functions of the human body. The PET images can be reconstructed by iterative methods, e.g., the expectation maximization (EM) algorithm. The computation-bound problem is expected to be exacerbated due to the ever-increasing demand for faster image reconstruction and higher resolution PET images. As Java technology matures, a number of parallel/distributed applications are implemented in Java because of its rich sets of packages. We propose the design and implementation of a component-based parallel software system to facilitate the PET image reconstruction process on a clustered environment. Performance issues are addressed in the design of the system, which are essential to the success of any parallel computing environment. The system introduces the Java Bean component model and class libraries which are written in Java and that run on any machine that implements the Java Virtual Machine. It is user friendly and its operation requires little software/hardware knowledge from the user.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"19 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":"126644761","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.2001.930305
Lisheng Wang, T. Wong, P. Heng, J. Cheng
This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3/spl times/3/spl times/3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.
{"title":"Template-matching approach to edge detection of volume data","authors":"Lisheng Wang, T. Wong, P. Heng, J. Cheng","doi":"10.1109/MIAR.2001.930305","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930305","url":null,"abstract":"This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3/spl times/3/spl times/3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"22 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":"114071598","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.2001.930257
L. Cheung, M. Wong, L. Wong
The development of rapid prototyping has evolved from the crude milled models to the laser polymerised stereolithographic models of excellent accuracy. The technology was advanced further with the recent introduction of fused deposition modelling and the 3-dimensional ink-jet printing technique in stereo-model fabrication. The concept of using a 3-dimensional model in planning the operation has amazed the maxillofacial surgeons since its first application in grafting a skull defect in 1995. It was followed by many bright ideas of applications in the field of facial reconstructive surgery. The stereo-model may assist in the diagnosis of facial fractures, joint ankylosis and even impacted teeth. The surgery can be simulated prior to the operation of complex craniofacial syndromes, facial asymmetry and distraction osteogenesis. The stereo-model can be used for preparation of reconstructive plate or joint prosthesis. It has an enormous value as an educational teaching and patient information tool for obtaining the consent for surgery. The aims of the paper are to present the modern manufacturing methods of the stereo-model and to illustrate the clinical applications of the stereomodel in facial reconstruction.
{"title":"The applications of stereolithography in facial reconstructive surgery","authors":"L. Cheung, M. Wong, L. Wong","doi":"10.1109/MIAR.2001.930257","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930257","url":null,"abstract":"The development of rapid prototyping has evolved from the crude milled models to the laser polymerised stereolithographic models of excellent accuracy. The technology was advanced further with the recent introduction of fused deposition modelling and the 3-dimensional ink-jet printing technique in stereo-model fabrication. The concept of using a 3-dimensional model in planning the operation has amazed the maxillofacial surgeons since its first application in grafting a skull defect in 1995. It was followed by many bright ideas of applications in the field of facial reconstructive surgery. The stereo-model may assist in the diagnosis of facial fractures, joint ankylosis and even impacted teeth. The surgery can be simulated prior to the operation of complex craniofacial syndromes, facial asymmetry and distraction osteogenesis. The stereo-model can be used for preparation of reconstructive plate or joint prosthesis. It has an enormous value as an educational teaching and patient information tool for obtaining the consent for surgery. The aims of the paper are to present the modern manufacturing methods of the stereo-model and to illustrate the clinical applications of the stereomodel in facial reconstruction.","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":"124799330","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.2001.930261
S. Riederer, R. Busse, R. Grimm, D. Kruger, P. Rossman
Due in part to the very high flexibility of image contrast, the applications of magnetic resonance imaging (MRI) continue to grow. Advances in data acquisition speed, as facilitated by MRI physics, have provided the motivation for specific real-time techniques. For useful and broad implementation this has required that real-time signal processing methods be used. In this work the principal elements of a real-time MRI system are reviewed, major signal processing techniques presented, and several contemporary applications discussed. Further improvements in computational speed will allow increased sophistication in real-time MRI techniques in the future.
{"title":"Recent developments in real-time MRI techniques and applications","authors":"S. Riederer, R. Busse, R. Grimm, D. Kruger, P. Rossman","doi":"10.1109/MIAR.2001.930261","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930261","url":null,"abstract":"Due in part to the very high flexibility of image contrast, the applications of magnetic resonance imaging (MRI) continue to grow. Advances in data acquisition speed, as facilitated by MRI physics, have provided the motivation for specific real-time techniques. For useful and broad implementation this has required that real-time signal processing methods be used. In this work the principal elements of a real-time MRI system are reviewed, major signal processing techniques presented, and several contemporary applications discussed. Further improvements in computational speed will allow increased sophistication in real-time MRI techniques in the future.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"113 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":"131949318","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.2001.930299
Yong-Chong Loh, M. Teo, W. Ng, Charlie Sim, Qingsong. Zou, T. Yeo, Y. Sitoh
The system allows surgeons to plan a surgical approach on a set of 2D image slices and visualise them in 3D rapidly. We use neurosurgery as an example. The surgeon could visualize objects of interest like a tumor and surgical path, and verify that the surgical plan avoids the critical features and is optimal.
{"title":"Surgical planning system with real-time volume rendering","authors":"Yong-Chong Loh, M. Teo, W. Ng, Charlie Sim, Qingsong. Zou, T. Yeo, Y. Sitoh","doi":"10.1109/MIAR.2001.930299","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930299","url":null,"abstract":"The system allows surgeons to plan a surgical approach on a set of 2D image slices and visualise them in 3D rapidly. We use neurosurgery as an example. The surgeon could visualize objects of interest like a tumor and surgical path, and verify that the surgical plan avoids the critical features and is optimal.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"29 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":"129220534","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.2001.930303
Reinhard Möller, R. Zeipelt
One of the most interesting recently developed brain activity imaging methods is functional MR imaging (fMRI). The advantages of fMRI, i.e. noninvasiveness, reproducibility and interactivity of examination, must be measured against the problems like data distortion and limited time for examination. A major problem is that most fMRI segmentation procedures are partly interactive. There is a high demand for precisely and automatically working segmentation algorithms in order to get meaningful results within an acceptable short time. This article discusses the use and implementation of a genetic algorithm (GA) as a kernel for an automatic 3D segmentation of gray matter and white matter of a human brain within the procedure of fMRI.
{"title":"Automatic segmentation of 3D-MRI data using a genetic algorithm","authors":"Reinhard Möller, R. Zeipelt","doi":"10.1109/MIAR.2001.930303","DOIUrl":"https://doi.org/10.1109/MIAR.2001.930303","url":null,"abstract":"One of the most interesting recently developed brain activity imaging methods is functional MR imaging (fMRI). The advantages of fMRI, i.e. noninvasiveness, reproducibility and interactivity of examination, must be measured against the problems like data distortion and limited time for examination. A major problem is that most fMRI segmentation procedures are partly interactive. There is a high demand for precisely and automatically working segmentation algorithms in order to get meaningful results within an acceptable short time. This article discusses the use and implementation of a genetic algorithm (GA) as a kernel for an automatic 3D segmentation of gray matter and white matter of a human brain within the procedure of fMRI.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"48 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":"121464747","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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