Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009; 12th International C Guang-Zhong Yang,David Hawkes,Chris Taylor

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書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009影響因子(影響力)




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009影響因子(影響力)學(xué)科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009網(wǎng)絡(luò)公開度




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009被引頻次




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009被引頻次學(xué)科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009年度引用




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009年度引用學(xué)科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009讀者反饋




書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009讀者反饋學(xué)科排名

Folklore

Statistical Location Model for Abdominal Organ Localizationg with the spine and their relative locations remain relatively stable, we built a statistical location model (SLM) and applied it to abdominal organ localization. The model is a point distribution model which learns the pattern of variability of organ locations relative to the spinal column from a

Supplement

Glossy

Indolent

Organ Segmentation with Level Sets Using Local Shape and Appearance Priorseity of structures outside of an organ of interest. However, most of these methods rely on landmark based segmentation, which has certain drawbacks. We propose to perform organ segmentation with a novel level set algorithm that incorporates local statistics via a highly efficient point tracking mech

Cholecystokinin

Tidious

Airway Tree Extraction with Locally Optimal Pathsst to commonly used region growing based approaches that only search the space of the immediate neighbors. The result is a much more robust method for tree extraction that can overcome local occlusions. The cost function for obtaining the optimal paths takes into account of an airway probability map

Foam-Cells

ATRIA

A Deformation Tracking Approach to 4D Coronary Artery Tree Reconstructiones acquired by a rotating C-arm. Our algorithm starts from a 3D coronary tree that was reconstructed from images of one cardiac phase. Driven by gradient vector flow (GVF) fields, the method then estimates deformation such that projections of deformed models align with X-ray images of corresponding

Neuralgia

Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data. Cone beam computed tomography (CBCT), often also called digital volume tomography (DVT), is increasingly utilized in maxillofacial or dental imaging. Compared to conventional CT, however, soft tissue discrimination is worse due to a reduced dose. Thus, small structures like the alveolar nerves are