Statistical modeling and its applications for autopsy imaging

2017 Fiscal Year Final Research Report

• Project/Area Number: 16H06785
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Single-year Grants
• Research Field: Life / Health / Medical informatics
• Research Institution: Tokyo University of Agriculture and Technology
• Principal Investigator: Saito Atsushi 東京農工大学, 工学(系)研究科(研究院), 助教 (10781445)
• Project Period (FY): 2016-08-26 – 2018-03-31
• Keywords: 計算機支援診断 / 時空間統計モデル / オートプシー・イメージング / 時空間統計モデル / 医用画像 / セグメンテーション / 解剖学

Outline of Final Research Achievements

In this study, computer aided diagnosis (CAD) algorithms for autopsy imaging (Ai) was developed. Achievements of this study are summarized as follows: (i) Ai CT volumes were collected and manual annotations of lung, heart and liver regions were prepared. (ii) Algorithms to construct spatiotemporal statistical shape model were proposed. (iii) Model-based image segmentation algorithms were developed, which are robust against postmortem changes.

Free Research Field

生命・健康・医療情報学