Intermodality registration and fusion of liver images for medical diagnosis

T. M. Chung, X. H. Liu, C. H. Chen, X. N. Sun, N. T. Chiu, J. X. Lee

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

7 Citations (Scopus)

Abstract

SPECT is valuable for the evaluation of hepatic function and CT can offer better anatomical images for liver and its adjacent structures. Image registration from the two modalities, CT and SPECT, acquires both structural and functional information, and therefore is very useful for clinical diagnoses. The registration and fusion of CT and SPECT images are studied. We propose a two stage registration method based on principal axes transformation and surface fitting to register and fuse CT and SPECT images: First, the centroids and principal axes of these landmarks are calculated and aligned. Then the transformation matrix between CT and SPECT images is modified based on the least square error on the distance image. After registration, uniform volume data is reconstructed for image fusion.

Original languageEnglish
Title of host publicationProceedings - Intelligent Information Systems, IIS 1997
EditorsHojjat Adeli
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages42-46
Number of pages5
ISBN (Electronic)0818682183, 9780818682186
DOIs
Publication statusPublished - 1997 Jan 1
Event1997 International Conference on Intelligent Information Systems, IIS 1997 - Grand Bahama Island, Bahamas
Duration: 1997 Dec 81997 Dec 10

Publication series

NameProceedings - Intelligent Information Systems, IIS 1997

Conference

Conference1997 International Conference on Intelligent Information Systems, IIS 1997
CountryBahamas
CityGrand Bahama Island
Period97-12-0897-12-10

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management

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