Computer-aided quantification of interstitial lung abnormalities on computed tomography

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K09901
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Radiation science
• Research Institution: Yokohama City University
• Principal Investigator: Iwasawa Tae 横浜市立大学, 医学研究科, 客員教授 (40625175)
• Co-Investigator(Renkei-kenkyūsha): GOTOH Toshiyuki 横浜国立大学, 環境情報学府, 教授 (30234991) ; MURAYAMA Sadayuki 琉球大学, 医学系研究科, 教授 (60239548) ; SAKAI Fumikazu 埼玉医科大学, 医学部国際医療センター放射線科, 教授 (30153852) ; INOUE Tomio 横浜市立大学, 医学研究科, 教授 (80134295)
• Research Collaborator: OGURA Takashi ; KITAMURA Hideya ; BABA Tomohisa ; TAKEMURA Tamiko
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: CT / computer-aided diagnosis / lung / pulmonary fibrosis

Outline of Final Research Achievements

The subject of this study was to recognize feasibility of Gaussian Histogram Normalized Correlation (GHNC) system, which is a quantifying system for CT images of interstitial pneumonias. Iwasawa, Gotoh, and Iwao have improved GHNC and developed the method for extracting subpleural region and quantifying the subpleural fibrosis. We found the subpleural fibrosis can differentiate idiopathic pulmonary fibrosis and non-specific interstitial pneumonia (Iwasawa T, et al, Eur J Radiol 2017, 90(17),106-113, Iwasawa T, et al. Jpn J Radiol. 2018 36(3):165-180). Iwasawa, Gotoh, and Iwao filed a patent for this method (PCT/JP2017/007668). We also evaluated low-dose CTs and CTs obtained different CT scanners using GHNC(Takehara S, et al, ECR2018), and we recognized feasibility of GHNC. We are investigating the cases of Japan Idiopathic Interstitial Pneumonia Registry (NEJ-030) using GHNC.

Free Research Field

放射線医学