DocumentCode :
1494652
Title :
Graphics applied to medical image registration
Author :
Maguire, Gerald Q., Jr. ; Noz, Marilyn E. ; Rusinek, Henry ; Jaeger, Judith ; Kramer, Elissa L. ; Sanger, Joseph J. ; Smith, Gwenn
Author_Institution :
Columbia Univ., New York, NY, USA
Volume :
11
Issue :
2
fYear :
1991
fDate :
3/1/1991 12:00:00 AM
Firstpage :
20
Lastpage :
28
Abstract :
Software that has been developed to automate and standardize comparison of 3D images is discussed. The major approaches to image registration are examined. The authors´ registration and reconstruction software is described. Studies carried out to determine the relative accuracy of the present registration methods are reported. The main goal of the authors is to improve on commercial SPECT reconstruction algorithms and provide quantification accuracy sufficient for numerical assessment of tracer distribution.<>
Keywords :
computerised picture processing; computerised tomography; medical computing; 3D images; commercial SPECT reconstruction algorithms; image registration; medical image registration; numerical assessment; quantification accuracy; reconstruction software; single photon emission computed tomography; tracer distribution; Biomedical imaging; Computed tomography; Computer graphics; Head; Heart; Image registration; Irrigation; Medical diagnostic imaging; Positron emission tomography; Spine;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/38.75587
Filename :
75587
Link To Document :
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