Paper Info
Title
Automated discovery of meniscal tears on MR imaging: a novel high-performance computer-aided detection application for radiologists
Abstract
Knee-related injuries including meniscal tears are common in both young athletes and the aging population and require accurate diagnosis and surgical intervention when appropriate. With proper techniques and radiologists' experienced skills, confidence in detection of meniscal tears can be quite high. However, for radiologists without musculoskeletal training, diagnosis of meniscal tears can be challenging. This paper develops a novel computer-aided detection (CAD) diagnostic system for automatic detection of meniscal tears in the knee. Evaluation of this CAD system using an archived database of images from 40 individuals with suspected knee injuries indicates that the sensitivity and specificity of the proposed CAD system are 83.87% and 75.19%, respectively, compared to the mean sensitivity and specificity of 77.41% and 81.39%, respectively obtained by experienced radiologists in routine diagnosis without using the CAD. The experimental results suggest that the developed CAD system has great potential and promise in automatic detection of both simple and complex meniscal tears of knees.
Year
DOI
Venue
2008
10.1117/12.773167
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
methods : shape analysis,modalities : magnetic resonance,diagnostic task : detection,meniscal tears,CAD,orthopedics
Mr imaging,CAD,Diagnostic system,Meniscal tears,Computer-aided diagnosis,Computer aided detection,Orthopedic surgery,Engineering,Radiology,Surgery,Magnetic resonance imaging
Conference
Volume
ISSN
Citations 
6915
0277-786X
1
PageRank 
References 
Authors
0.42
2
8
Name
Order
Citations
PageRank
bharath ramakrishna131.01
Nabile Safdar293.46
khan m siddiqui310.42
Woojin Kim4184.63
weimin liu531.01
ganesh saiprasad610.75
Chein-I Chang73399429.03
Eliot Siegel830280.13