Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment.
A software system and database for computer-aided diagnosis with thin-section computed tomographic (CT) images of the chest was designed and implemented. When presented with an unknown query image, the system uses pattern recognition to retrieve visually similar images with known diagnoses from the database. A preliminary validation trial was conducted with 11 volunteers who were asked to select the best diagnosis for a series of test images, with and without software assistance. The percentage of correct answers increased from 29% to 62% with computer assistance. This finding suggests that this system may be useful for computer-assisted diagnosis.
Aisen
Alex M
AM
Department of Radiology, Indiana University School of Medicine, UH 0279, 550 N University Blvd, Indianapolis, Indiana 46202, USA. aaisen@iupui.edu
Broderick
Lynn S
LS
Winer-Muram
Helen
H
Brodley
Carla E
CE
Kak
Avinash C
AC
Pavlopoulou
Christina
C
Dy
Jennifer
J
Shyu
Chi-Ren
CR
Marchiori
Alan
A
D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted; D016247:Information Storage and Retrieval; D011873:Radiology Information Systems; D012984:Software; D014057:Tomography, X-Ray Computed; D014584:User-Computer Interface