23 September 2005 Automatic anatomical structures location based on dynamic shape measurement
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Abstract
New image processing methods and active photonics apparatus have made possible the development of relatively inexpensive optical systems for complex shape and object measurements. We present dynamic 360° scanning method for analysis of human lower body biomechanics, with an emphasis on the analysis of the knee joint. The anatomical structure (of high medical interest) that is possible to scan and analyze, is patella. Tracking of patella position and orientation under dynamic conditions may lead to detect pathological patella movements and help in knee joint disease diagnosis. The processed data is obtained from a dynamic laser triangulation surface measurement system, able to capture slow to normal movements with a scan frequency between 15 and 30 Hz. These frequency rates are enough to capture controlled movements used e.g. for medical examination purposes. The purpose of the work presented is to develop surface analysis methods that may be used as support of diagnosis of motoric abilities of lower limbs. The paper presents algorithms used to process acquired lower limbs surface data in order to find the position and orientation of patella. The algorithms implemented include input data preparation, curvature description methods, knee region discrimination and patella assumed position/orientation calculation. Additionally, a method of 4D (3D + time) medical data visualization is proposed. Also some exemplary results are presented.
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Marcin Witkowski, Walter Rapp, Robert Sitnik, Malgorzata Kujawinska, Jos Vander Sloten, Bart Haex, Nico Bogaert, Kjell Heitmann, "Automatic anatomical structures location based on dynamic shape measurement", Proc. SPIE 5959, Medical Imaging, 59590F (23 September 2005); doi: 10.1117/12.623099; https://doi.org/10.1117/12.623099
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