Statistical spatiotemporal model of anatomical and pathological structures and computer-aided diagnostic imaging
Project/Area Number |
23500205
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Perception information processing/Intelligent robotics
|
Research Institution | Tokyo University of Agriculture and Technology |
Principal Investigator |
SHIMIZU Akinobu 東京農工大学, 工学(系)研究科(研究院), 准教授 (80262880)
|
Project Period (FY) |
2011 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
|
Keywords | 医用画像 / 画像認識 / 統計モデル |
Research Abstract |
We proposed a statistical spatial model so as to describe the spatial relationship between anatomical structures in a medical imagery. A simultaneous segmentation algorithm of multiple structures based on the model was developed. Subsequently a novel conditional statistical model was proposed, in which a condition can be relaxed and it is automatically optimized based on an error model of the condition of training data. Further contributions are developments of a multi-layer segmentation algorithm with a statistical model of layers and simultaneous recognition algorithm of healthy and pathological structures based on an statistical image database.
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Report
(4 results)
Research Products
(25 results)