Development of an Automated Method for the Detection of Chronic Lacunar Infarct Regions in Brain MR Images(Image Recognition, Computer Vision)

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概要

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• The purpose of our study is to develop an algorithm that would enable the automated detection of lacunar infarct on T1- and T2-weighted magnetic resonance (MR) images. Automated identification of the lacunar infarct regions is not only useful in assisting radiologists to detect lacunar infarcts as a computer-aided detection (CAD) system but is also beneficial in preventing the occurrence of cerebral apoplexy in highrisk patients. The lacunar infarct regions are classified into the following two types for detection: "isolated lacunar infarct regions" and "lacunar infarct regions adjacent to hyperintensive structures." The detection of isolated lacunar infarct regions was based on the multiple-phase binarization (MPB) method. Moreover, to detect lacunar infarct regions adjacent to hyperintensive structures, we used a morphological opening processing and a subtraction technique between images produced using two types of circular structuring elements. Thereafter, candidate regions were selected based on three features-area, circularity, and gravity center. Two methods were applied to the detected candidates for eliminating false positives (FPs). The first method involved eliminating FPs that occurred along the periphery of the brain using the region-growing technique. The second method, the multi-circular regions difference method (MCRDM), was based on the comparison between the mean pixel values in a series of double circles on a T1-weighted image. A training dataset comprising 20 lacunar infarct cases was used to adjust the parameters. In addition, 673MR images from 80 cases were used for testing the performance of our method; the sensitivity and specificity were 90.1% and 30.0% with 1.7FPs per image, respectively. The results indicated that our CAD system for the automatic detection of lacunar infarct on MR images was effective.

• 社団法人電子情報通信学会の論文
• 2007-06-01

著者

• Fujita Hiroshi

  Department of Transfusion Medicine, Tokyo Metropolitan Bokutoh Hospital

• IWAMA Toru

  Department of Neurosurgery, Graduate School of Medicine, Gifu University

• Kondo Hiroshi

  Dept. Of Radiology Graduate School Of Medicine Gifu University

• Zhou Xiangrong

  Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,

• Hara Takeshi

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• Hara Takeshi

  Graduate School Of Medicine Gifu University

• Fujita Hiroshi

  Department Of Cardiology Kyoto Second Red Cross Hospital

• Fujita Hiroshi

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• KONDO Hiroshi

  Department of Civil Engineering, School of Engineering

• KANEMATSU Masayuki

  Department of Radiology, Gifu University School of Medicine

• HOSHI Hiroaki

  Department of Radiology, Gifu University School of Medicine

• Uchiyama Yoshikazu

  Department of Intelligent Image Information, Graduate School of Medicine, Gifu University

• YOKOYAMA Ryujiro

  Department of Intelligent Image Information, Graduate School of Medicine, Gifu University

• GOSHIMA Satoshi

  Department of Internal Medicine, Inami General Hospital

• Hoshi Hiroaki

  Gifu Univ. Graduate School Of Medicine Gifu Jpn

• UCHIYAMA Yoshikazu

  Dept. of Biomedical Informatics, Graduate School of Medicine, Gifu University

• ASANO Takahiko

  Dept. of Radiology, Graduate School of Medicine, Gifu University

• IWAMA Toru

  Dept. of Neurosurgery, Graduate School of Medicine, Gifu University

• ZHANG Xuejun

  Department of Intelligent Image Information, Graduate School of Medicine, Gifu University

• ASANO Takahiko

  Department of Radiology, Graduate School of Medicine, Gifu University

• Yokoyama Ryujiro

  Department Of Intelligent Image Information Graduate School Of Medicine Gifu University

• Asano Takahiko

  Dept. Of Radiology Graduate School Of Medicine Gifu University

• Fujita H

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• Fujita Hiroshi

  Dept. Of Intelligent Image Information Graduate School Of Medicine Gifu University

• Iwama Toru

  Department Of Cardiology Tokyo Metropolitan Bokutoh General Hospital

• Iwama Toru

  Dept. Of Neurosurgery Graduate School Of Medicine Gifu University

• Zhang X

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gr

• Hara T

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• Hoshi Hiroaki

  Dept. Of Radiology Graduate School Of Medicine Gifu University

• Hoshi H

  Department Of Radiology Miyazaki Medical College

• Hoshi Hiroaki

  Department Of Radiology Gifu University

• KONDO Hiroshi

  Faculty of Human Arts and Sciences, University of Human Arts and Sciences

• Zhou Xiangrong

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• Zhou Xiangrong

  Gifu Univ. Graduate School Of Medicine Gifu Jpn

• Zhou Xiangrong

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gi

• HAYASHI Hideki

  Gifu Municipal Hospital

• Kondo H

  Faculty Of Human Arts And Sciences University Of Human Arts And Sciences

• Goshima Satoshi

  Department Of Radiology Graduate School Of Medicine Gifu University

• Kanematsu M

  Dept. Of Radiology Graduate School Of Medicine Gifu University

• Kanematsu Masayuki

  Department Of Radiology Gifu University School Of Medicine

• Zhang Xuejun

  Fact. Of Eng. Gifu Univ

• Fujita Hiroshi

  Graduate School Of Medicine Gifu University

• Yokoyama Ryujiro

  Department Of Radiology Gifu University School Of Medicine

• Uchiyama Yoshikazu

  Dept. Of Biomedical Informatics Graduate School Of Medicine Gifu University

• Asano Takahiko

  Department Of Internal Medicine Nishimino Kosei Hospital

• Hara Takeshi

  Department Of Applied Chemistry Kyushu Institute Of Technology

• Kondo Hiroshi

  Department Of Agricultural Chemistry College Of Agriculture And Veterinary Medicine Nihon University

• Hara Takeshi

  Department Of Animal Resource Sciences Graduate School Of Agricultural And Life Sciences The Univers

• Kato Hiroki

  Department Of Radiology School Of Medicine Gifu University

• Fujita Hiroshi

  Department Of Applied Physics Faculty Of Engineering University Of Tokyo

• Kanematsu Masayuki

  Department Of Health Science Shiga University Of Medical Science

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