2013 Fiscal Year Final Research Report
Fundamental technologies for computational anatomy
Project Area | Computational anatomy for computer-aided diagnosis and therapy :Frontiers of medical image sciences |
Project/Area Number |
21103003
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Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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Allocation Type | Single-year Grants |
Review Section |
Science and Engineering
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Research Institution | Osaka University |
Principal Investigator |
SATO Yoshinobu 大阪大学, 医学(系)研究科(研究院), 准教授 (70243219)
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Co-Investigator(Kenkyū-buntansha) |
NAKAMOTO Masahiko 大阪大学, 医学系研究科, 助教 (00380634)
YAMAZAKI Takaharu 大阪大学, 臨床医工学融合研究教育センター, 特任准教授 (40432546)
TADA Yukio 神戸大学, 工学系研究科, 教授 (70135812)
HORI Masatoshi 大阪大学, 医学系研究科, 助教 (00346206)
TOMIYAMA Noriyuki 大阪大学, 医学系研究科, 准教授 (50294070)
SUGANO Nobuhiko 大阪大学, 医学系研究科, 寄附講座教授 (70273620)
SUGAMOTO Kazuomi 大阪大学, 医学系研究科, 寄附講座教授 (40294061)
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Project Period (FY) |
2009-07-23 – 2014-03-31
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Keywords | 医用画像 / 統計形状モデル / 確率アトラス / CT画像 / セグメンテーション / 部分最小二乗回帰 / 臨床意思決定支援 / ベイズ定理 |
Research Abstract |
Methods for constructing computational anatomy models, which represent inter-patient variability of organ shapes, locations, and their interrelations, were developed based on statistical analysis of organ shape data of a number of patients. These models were combined with Bayesian inference to perform automated segmentation of multiple abdominal organs and musculoskeletal structures of the hip from CT images. Diagnostic and therapeutic patient data were further added to the organ shape data to incorporate diagnostic and therapeutic decision support modeling into the computational anatomy models. By combining Bayesian inference or machine learning technologies with the models, we confirmed that automated diagnosis of the liver fibrosis and surgical planning of the hip implant surgery are possible in an accurate manner.
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Research Products
(17 results)
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[Presentation] Abdominal multi-organ segmentation of CT images based on hierarchical spatial modeling of organ interrelations, Lecture Notes in Computer Science 70292012
Author(s)
Okada T, Linguraru M G, Yoshida Y, Hori M, Summers R M, Chen Y W, Tomiyama N, Sato Y
Organizer
Proc. MICCAI 2011 Workshop on Abdominal Imaging, Computational and Clinical Applications
Place of Presentation
Toronto, Canada
Year and Date
20120000
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[Presentation] "Expertise Modeling for Automated Planning of Acetabular Cup in Total Hip Arthroplasty Using Combined Bone and Implant Statistical Atlases", Lecture Notes in Computer Science 57612009
Author(s)
Otomaru I, Kobayashi K, Okada T, Nakamoto M, Kagiyama Y, Takao M, Sugano N, Tada Y, Sato Y
Organizer
Proc. Twelfth International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2009), Part I
Place of Presentation
London, UK
Year and Date
20090000
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