Paper
18 March 2013 Automated measurement of diagnostic angles for hip dysplasia
Sepp de Raedt, Inger Mechlenburg, Maiken Stilling, Lone Rømer, Kjeld Søballe, Marleen de Bruijne
Author Affiliations +
Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 867009 (2013) https://doi.org/10.1117/12.2007599
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
A fully automatic method for measuring diagnostic angles of hip dysplasia is presented. The method consists of the automatic segmentation of CT images and detection of anatomical landmarks on the femur and acetabulum. The standard angles used in the diagnosis of hip dysplasia are subsequently automatically calculated. Previous work in automating the measuring of angles required the manual segmentation or delineation of the articular joint surface. In the current work automatic segmentation is established using graph-cuts with a cost function based on a sheetness score to detect the sheet-like structure of the bone. Anatomical landmarks are subsequently detected using heuristics based on ray-tracing and the distance to the approximated acetabulur joint surface. Standard diagnositic angles are finally calculated and presented for interpretation. Experiments using 26 patients, showed a good agreement with gold standard manual measurements by an expert radiologist as performed in daily practice. The mean difference for the five angles was between −1:1 and 2:0 degrees with a concordance correlation coefficient between 0:87 and 0:93. The standard deviation varied between 2:3 and 4:1 degrees. These values correspond to values found in evaluating interobserver and intraobserver variation for manual measurements. The method can be used in clinical practice to replace the current manual measurements performed by radiologists. In the future, the method will be integrated into an intraoperative surgical guidance system.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sepp de Raedt, Inger Mechlenburg, Maiken Stilling, Lone Rømer, Kjeld Søballe, and Marleen de Bruijne "Automated measurement of diagnostic angles for hip dysplasia", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 867009 (18 March 2013); https://doi.org/10.1117/12.2007599
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Cited by 7 scholarly publications.
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KEYWORDS
Image segmentation

Bone

Head

Artificial intelligence

Diagnostics

Computed tomography

Binary data

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