• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Quantitative analysis of diffuse liver diseases by B-mode ultrasonography using neural networks

Research Project

Project/Area Number 04670671
Research Category

Grant-in-Aid for General Scientific Research (C)

Allocation TypeSingle-year Grants
Research Field Radiation science
Research InstitutionKochi Medical School

Principal Investigator

HISA Naofumi  Kochi Medical School, Department of Radiology, Associate Professor, 放射線部, 助教授 (30129621)

Co-Investigator(Kenkyū-buntansha) OGAWA Kouichi  Hosei University, Department of Technology, Associate Professor, 工学部・電気工学科, 助教授 (00158817)
Project Period (FY) 1992 – 1993
Project Status Completed (Fiscal Year 1993)
Budget Amount *help
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 1993: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1992: ¥1,400,000 (Direct Cost: ¥1,400,000)
Keywordsultrasonic diagnosis, / diffuse liver disease, / liver cirrhosis, / neural network, / computer assisted diagnosis, / quantitative evaluation / 肝臓
Research Abstract

The purpose of this reseach is to establish a system that can make quantitative evaluation of B-mode ultrasonographic images of diffuse liver diseases. The equipments used are HITACHI EUB-565A and EUB-555 ultrasound scanners and SUN workstation IPX.We chose four factors to characterize patterns of ultrasonogrphic images, the mean, the vaiance, the coefficient of variation, and the power spectrum analysis, respectively. Each data of the region of interest(32x32 matrices) were input to the workstation through Videopix. Three layred neural network(input=4 units, intermediate=4 units, output=1 unit) was constituted and the learning was performed by back propagation method.
Image data of 15 normal and 15 typical liver cirrhosis patients were used for the learning data. The output is the degree of cirrhotic change and results are figured between O(normal) and 1(abnormal). A hundred unlearned images were examined with this system. With setting threshold of 'below 0.1 as normal' and 'above 0.9 as abnormal', the accuracy was 80% for normal and 89% for abnormal. Cocerning the type of transducer(3.5MHz linear-array, 3.5MHz curved-array, and 7.5MHz linear-array) and the difference of image processing, output data were not basically interfered, though a slight difference was recognized.
The results of evaluation by the neural network showed good agreement with the clinical evaluation, and this system is believed to act as a part of computer assisted diagnosis.

Report

(3 results)
  • 1993 Annual Research Report   Final Research Report Summary
  • 1992 Annual Research Report
  • Research Products

    (4 results)

All Other

All Publications (4 results)

  • [Publications] 尾川浩一.久直史: "超音波Bモード画像における階層型ニューラルネットを用いた肝実質性疾患の定量化の試み" Medical Imaging Technology. 11. 72-79 (1993)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1993 Final Research Report Summary
  • [Publications] Ogawa K, Hisa N, and Takaishi A : A study for quantitative evaluation of hepatic parenchymal disease using neural networks in B-mode ultrasonography. Medical Imaging Technology 11(1) : 72-79,1993:

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1993 Final Research Report Summary
  • [Publications] 尾川浩一.久 直史.高石明: "超音波betaモード画像における階層型ニューラルネットを用いた肝実質性疾患の定量診断" Medical Imaging Technology. 11. 72-79 (1993)

    • Related Report
      1993 Annual Research Report
  • [Publications] 尾川 浩一 久 直史: "超音波Bモード画像における階層型ニューラルネットを用いた肝実質性疾患の定量化の試み" Medical Imaging Technology. 11. 72-79 (1993)

    • Related Report
      1992 Annual Research Report

URL: 

Published: 1992-04-01   Modified: 2016-04-21  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi