An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images
Landgren, Matilda; Sjöstrand, Karl; Ohlsson, Mattias; Ståhl, Daniel, et al. (2011). An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images. Heyden, Anders; Kahl, Fredrik (Eds.). Lecture Notes in Computer Science, 6688,, 489 - 500. 17th Scandinavian Conference on Image Analysis (SCIA 2011). Ystad, Sweden: Springer
Conference Proceeding/Paper
|
Published
|
English
Authors:
Landgren, Matilda
;
Sjöstrand, Karl
;
Ohlsson, Mattias
;
Ståhl, Daniel
, et al.
Editors:
Heyden, Anders
;
Kahl, Fredrik
Department:
Mathematics (Faculty of Engineering)
Computational Biology and Biological Physics - Has been reorganised
Nuclear medicine, Malmö
Mathematical Imaging Group
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
eSSENCE: The e-Science Collaboration
Research Group:
Nuclear medicine, Malmö
Mathematical Imaging Group
Abstract:
Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99m Tc-DMSA scintigraphy images. We present the chain of analysis and provide a discussion of its performance. On a per-lesion basis, the classification reached an ROC-curve area of 0.96 (sensitivity/specificity e.g. 97%/85%) measured using an independent test group consisting of 56 patients with 730 candidate lesions. We conclude that the presented system for diagnostic support has the potential of increasing the quality of care regarding this type of examination.
Keywords:
Mathematics ;
Computer Vision and Robotics (Autonomous Systems)
ISBN:
978-3-642-21227-7 (online)
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