Development of non-linear registration of body CT images for subtraction to detect time-dependent changes.

Research Project

Project/Area Number	25670530
Research Category	Grant-in-Aid for Challenging Exploratory Research
Allocation Type	Multi-year Fund
Research Field	Radiation science
Research Institution	Kyoto University
Principal Investigator	TOGASHI Kaori 京都大学, 医学(系)研究科(研究院), 教授 (90135484)
Project Period (FY)	2013-04-01 – 2015-03-31
Project Status	Completed (Fiscal Year 2014)
Budget Amount *help	¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000) Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000) Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords	肺ガン / 微分同相写像 / LDDMM / 経時変化 / 肺野CT / 非線形レジストレーション / Jacobian map / 差分画像
Outline of Final Research Achievements	This study focused on non-linear registration of serial body CT images to attain high accuracy. The algorithm used was large deformation diffeomorphic metric mapping (LDDMM) besed on the Euler-Lagrange equation. In lung tumor cases, changes in the size, disappearance or appearance of the tumors could be evaluated by the automatic processing. In the abdomen and pelvis, the proposed method found bone metastasis, which may not necessarily be detected by conventional evaluation. The proposed method is expected to bring objective and accurate evaluation into clinical practice.

Report

(3 results)