Kinematic patellar tracking from MR images for knee pain analysis

Yi-Nung Chung, Cheng Nan Chou, Haw Chang Lan, Wen Hsin Ho

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Kinematic approaches using MR images have been regarded of more accuracy in knee pain (AKP) detection than stationary approaches. However, the challenge in segmenting femur, patellar and tibia due to the intensity non-uniformity caused by magnetic propagation degradation in MR images, and the strong adhesion of the soft tissue around the knee organs, has restricted the use of kinematic approaches. This paper proposes a combinatorial based kinematic patellar tracking (CKPT) for AKP detection. The CKPT uses a hybrid approach for extracting knee organs, where an edge-constrained wavelet enhancement followed by moment preserving segmentation is employed for conquering the soft tissue adhesion for extracting the femur and tibia from axial MR images, and a sliding window based moment preserving for resolving the segmentation difficulty associated with intensity non-uniformity in saggital MR images. The location constraints are then applied for extracting landmark points from femur and patellar, and three inclination angles reflecting patellar position and orientation, during leg movement, are calculated as the measurement of patellar dislocation. The experiment shows that the hybrid approach can accurately extract femur, patellar and tibia. It also demonstrates the prominent of the calculated inclination angles in detecting AKP.

Original languageEnglish
Pages (from-to)1653-1659
Number of pages7
JournalComputers in Biology and Medicine
Volume37
Issue number11
DOIs
Publication statusPublished - 2007 Nov 1

Fingerprint

Biomechanical Phenomena
Knee
Kinematics
Femur
Pain
Tibia
Tissue Adhesions
Adhesion
Tissue
Patellar Dislocation
Leg
Degradation
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Informatics

Cite this

Chung, Yi-Nung ; Chou, Cheng Nan ; Lan, Haw Chang ; Ho, Wen Hsin. / Kinematic patellar tracking from MR images for knee pain analysis. In: Computers in Biology and Medicine. 2007 ; Vol. 37, No. 11. pp. 1653-1659.
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Kinematic patellar tracking from MR images for knee pain analysis. / Chung, Yi-Nung; Chou, Cheng Nan; Lan, Haw Chang; Ho, Wen Hsin.

In: Computers in Biology and Medicine, Vol. 37, No. 11, 01.11.2007, p. 1653-1659.

Research output: Contribution to journalArticle

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