Knowledge-based analysis and recognition of 3D images of human chest-cavity

Atam P. Dhawan, Samir Misra, Stephen R. Thomas

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

3 Scopus citations

Abstract

The description and preliminary results of a computerized image analysis system which can analyze anatomical three-dimensional images and label each part of the image with the help of a knowledge base of human anatomy are presented. The approach utilizes a strong low-level image analysis system with the capability of analyzing the data in both bottom-up (or data-driven) and top-down (or model-driven) modes to improve the high-level recognition process. With the help of a multiresolution representation scheme, various cross sections of the input data set are first registered in proper orientation. Knowledge of reference organ parts is applied in 3-D volume representation to establish a correlation between the input data and anatomical knowledge base. The process of recognizing an object in the image is realized as hierarchical labeling of regions in the image. The control strategies are capable of postponing the recognition process of an object if the confidence in the matching process is not high enough to label the object according to the model.

Original languageEnglish (US)
Title of host publicationProceedings of the First Conference on Visualization in Biomedical Computing
PublisherPubl by IEEE
Pages162-169
Number of pages8
ISBN (Print)0818620390
StatePublished - Dec 1 1990
Externally publishedYes
EventProceedings of the First Conference on Visualization in Biomedical Computing - VBC '90 - Atlanta, GA, USA
Duration: May 22 1990May 25 1990

Publication series

NameProceedings of the First Conference on Visualization in Biomedical Computing

Other

OtherProceedings of the First Conference on Visualization in Biomedical Computing - VBC '90
CityAtlanta, GA, USA
Period5/22/905/25/90

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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