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Automatic Scan Planning for Magnetic Resonance Imaging of the Knee Joint

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Publication date 2012
Author Bauer Stefan, Ritacco Lucas E., Boesch Chris, Nolte Lutz-P., Reyes Mauricio,
Project Multi-nuclear magnetic resonance spectroscopy (MRS) and imaging (MRI) on a clinical whole-body MR-system: insulin resistance, ageing, and physical activity
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Original article (peer-reviewed)

Journal ANNALS OF BIOMEDICAL ENGINEERING
Volume (Issue) 40(9)
Page(s) 2033 - 2042
Title of proceedings ANNALS OF BIOMEDICAL ENGINEERING
DOI 10.1007/s10439-012-0552-1

Abstract

Automatic scan planning for magnetic resonance imaging of the knee aims at defining an oriented bounding box around the knee joint from sparse scout images in order to choose the optimal field of view for the diagnostic images and limit acquisition time. We propose a fast and fully automatic method to perform this task based on the standard clinical scout imaging protocol. The method is based on sequential Chamfer matching of 2D scout feature images with a three-dimensional mean model of femur and tibia. Subsequently, the joint plane separating femur and tibia, which contains both menisci, can be automatically detected using an information-augmented active shape model on the diagnostic images. This can assist the clinicians in quickly defining slices with standardized and reproducible orientation, thus increasing diagnostic accuracy and also comparability of serial examinations. The method has been evaluated on 42 knee MR images. It has the potential to be incorporated into existing systems because it does not change the current acquisition protocol.
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