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Titlebook: Information Processing in Computer-Assisted Interventions; First International Nassir Navab,Pierre Jannin Conference proceedings 2010 Spri

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發(fā)表于 2025-3-21 17:34:58 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Information Processing in Computer-Assisted Interventions
副標(biāo)題First International
編輯Nassir Navab,Pierre Jannin
視頻videohttp://file.papertrans.cn/466/465149/465149.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Information Processing in Computer-Assisted Interventions; First International  Nassir Navab,Pierre Jannin Conference proceedings 2010 Spri
描述Thanks to scientific and technological advances in many parallel fields, medical procedures are rapidly evolving towards solutions which are less invasive and more effective. In the previous decades, information processing in diagnostic imaging provided many solutions to physicians in particular within radiology, neurology, cardiology, nuclear medicine and radiation therapy departments. In the last decade, progress in computer technology, imaging and mechatronics has allowed computer-assisted intervention (CAI) systems and solutions to penetrate the intervention and operating rooms. CAI’s major challenge in the beginning of the twenty-first century is real-time processing, analysis and visualization of large amount of heterogeneous, static and dynamic patient data, and understanding of surgery for designing intelligent operating rooms and developing advanced training tools. Excellent scientists, engineers and physicians have created many advanced research groups around the world and are starting to provide innovative, breakthrough solutions. Information Processing in Computer-Assisted Interventions (IPCAI) aims at gathering the best work in this field and allowing authors to presen
出版日期Conference proceedings 2010
關(guān)鍵詞3D; 3d reconstruction; CUDA; GPU; classification; computed tomography (CT); computer; computer aided surger
版次1
doihttps://doi.org/10.1007/978-3-642-13711-2
isbn_softcover978-3-642-13710-5
isbn_ebook978-3-642-13711-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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Conference proceedings 2010sive and more effective. In the previous decades, information processing in diagnostic imaging provided many solutions to physicians in particular within radiology, neurology, cardiology, nuclear medicine and radiation therapy departments. In the last decade, progress in computer technology, imaging
板凳
發(fā)表于 2025-3-22 00:54:10 | 只看該作者
Active Multispectral Illumination and Image Fusion for Retinal Microsurgeryght when compared to traditional systems. In addition, the method proposed in this paper may be adapted to other clinical applications in order to give surgeons more flexibility when visualizing areas of interest.
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Automatic Phases Recognition in Pituitary Surgeries by Microscope Images Classificationg algorithms along with the data dimension reduction. We finally kept 40 features from the PCA and found a best correct classification rate of the surgical phases of 82% with the multiclass Support Vector Machine.
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Towards a Verified Simulation Model for Radiofrequency Ablationsare reconstructed and simulated on a computer, and the resulting pathoanatomical coagulations are compared to their simulated counterparts with consideration of vascular cooling effects. We have applied this procedure for an initial verification of an existing RFA simulation system. The results are presented and discussed in this paper.
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Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEEonal transesophageal echocardiographic imagery to recover the valve structure and predict the competency of a surgically modified valve by computing its closed state from an assumed open configuration. We report on a 3D TEE structure recovery method and a mechanical modeling approach used for the valve modeling and simulation.
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發(fā)表于 2025-3-23 01:52:27 | 只看該作者
Visualization and Planning of Neurosurgical Interventions with Straight Accesse path of access by avoiding vital structures and minimizing potential trauma to healthy tissue. Our preliminary evaluation showed that this technique is effective as well as easy to use for planning neurosurgical interventions such as biopsies, deep brain stimulation, ablation of brain lesions.
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