An application of ultrasonic tissue characterization to the diagnosis of cataract

Tsuyoshi Shiina, Masayasu Ito, Yasuo Sugata, Yukio Yamamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

From therapeutic and pathological points of view, it is important to classify types of cataract and identify their stages. However, standardized criterion for diagnosis has not been established. On the other hand based on the study of tissue characterization which is applied to other clinical fields, the attenuation characteristics of lens is expected to change according to the stage of disease and the type of cataract. In this paper, we tried to measure the attenuation coefficient of lens from echo signals for the pupose of diagnosing the cataract quantitatively and at the early stage. Results show that the attenuation of cataractous lens is larger than that of normal lens and its value differs between the types of cataract, which indicates the utility of tissue characterization in diagnosis of cataract.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
EditorsJean Louis Coatrieux, Robert Plonsey, Swamy Laxminarayan, Jean Pierre Morucci
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2768A-2768C
ISBN (Electronic)0780307852
DOIs
Publication statusPublished - 1992
Externally publishedYes
Event14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 - Paris, France
Duration: 1992 Oct 291992 Nov 1

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume6
ISSN (Print)1557-170X

Conference

Conference14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
Country/TerritoryFrance
CityParis
Period92/10/2992/11/1

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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