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Proceedings Paper

Description of patellar movement by 3D parameters obtained from dynamic CT acquisition
Author(s): Marina de Sá Rebelo; Ramon Alfredo Moreno; Riccardo Gomes Gobbi; Gilberto Luis Camanho; Luiz Francisco Rodrigues de Ávila; Marco Kawamura Demange; Jose Ricardo Pecora; Marco Antonio Gutierrez
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Paper Abstract

The patellofemoral joint is critical in the biomechanics of the knee. The patellofemoral instability is one condition that generates pain, functional impairment and often requires surgery as part of orthopedic treatment. The analysis of the patellofemoral dynamics has been performed by several medical image modalities. The clinical parameters assessed are mainly based on 2D measurements, such as the patellar tilt angle and the lateral shift among others. Besides, the acquisition protocols are mostly performed with the leg laid static at fixed angles. The use of helical multi slice CT scanner can allow the capture and display of the joint´s movement performed actively by the patient. However, the orthopedic applications of this scanner have not yet been standardized or widespread. In this work we present a method to evaluate the biomechanics of the patellofemoral joint during active contraction using multi slice CT images. This approach can greatly improve the analysis of patellar instability by displaying the physiology during muscle contraction. The movement was evaluated by computing its 3D displacements and rotations from different knee angles. The first processing step registered the images in both angles based on the femur´s position. The transformation matrix of the patella from the images was then calculated, which provided the rotations and translations performed by the patella from its position in the first image to its position in the second image. Analysis of these parameters for all frames provided real 3D information about the patellar displacement.

Paper Details

Date Published: 18 March 2014
PDF: 9 pages
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 903538 (18 March 2014); doi: 10.1117/12.2043677
Show Author Affiliations
Marina de Sá Rebelo, Univ. de São Paulo (Brazil)
Ramon Alfredo Moreno, Univ. de São Paulo (Brazil)
Riccardo Gomes Gobbi, Univ. de São Paulo (Brazil)
Gilberto Luis Camanho, Univ. de São Paulo (Brazil)
Luiz Francisco Rodrigues de Ávila, Univ. de São Paulo (Brazil)
Marco Kawamura Demange, Univ. de São Paulo (Brazil)
Jose Ricardo Pecora, Univ. de São Paulo (Brazil)
Marco Antonio Gutierrez, Univ. de São Paulo (Brazil)

Published in SPIE Proceedings Vol. 9035:
Medical Imaging 2014: Computer-Aided Diagnosis
Stephen Aylward; Lubomir M. Hadjiiski, Editor(s)

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