Problems and limitations of knowledge-based 3D medical image analysis

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

2 Scopus citations

Abstract

It is noted that medical images are often characterized by low-contrast regions which utilize a narrow range of gray levels. Various methods including the gray level remapping can be used for improving the contrast in a general sense. But even then it is difficult to obtain well-defined and isolated segmented regions of interest from these images. This is one of the major problems in automatic analysis of medical images. Other problems including the improper registration, analysis, and visualization of small low-contrast regions are discussed here in the context of a knowledge-based analysis system which is being developed for analyzing the anatomical images of the human chest cavity. The issue of user interaction is raised to address these problems for efficient and better analysis.

Original languageEnglish (US)
Title of host publicationBiomedical Engineering Perspectives
Subtitle of host publicationHealth Care Technologies for the 1990's and Beyond
PublisherPubl by IEEE
Pages1304-1305
Number of pages2
Editionpt 3
ISBN (Print)0879425598
StatePublished - Dec 1 1990
Externally publishedYes
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: Nov 1 1990Nov 4 1990

Other

OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period11/1/9011/4/90

All Science Journal Classification (ASJC) codes

  • Bioengineering

Fingerprint Dive into the research topics of 'Problems and limitations of knowledge-based 3D medical image analysis'. Together they form a unique fingerprint.

Cite this