2013 Fiscal Year Final Research Report

Statistical spatiotemporal model of anatomical and pathological structures and computer-aided diagnostic imaging

Research Project

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
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.