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NMR Biomed. 2017 Nov;30(11). doi: 10.1002/nbm.3791. Epub 2017 Sep 5.

Accelerated 4D self-gated MRI of tibiofemoral kinematics.

Author information

1
Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands.
2
Orthopedic Research Laboratory, Radboud University Medical Center, Nijmegen, the Netherlands.
3
Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
4
Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, the Netherlands.
5
Department of Radiology, University Medical Center, Utrecht, the Netherlands.
6
Laboratory for Biomechanical Engineering, University of Twente, Enschede, the Netherlands.

Abstract

Anatomical (static) magnetic resonance imaging (MRI) is the most useful imaging technique for the evaluation and assessment of internal derangement of the knee, but does not provide dynamic information and does not allow the study of the interaction of the different tissues during motion. As knee pain is often only experienced during dynamic tasks, the ability to obtain four-dimensional (4D) images of the knee during motion could improve the diagnosis and provide a deeper understanding of the knee joint. In this work, we present a novel approach for dynamic, high-resolution, 4D imaging of the freely moving knee without the need for external triggering. The dominant knee of five healthy volunteers was scanned during a flexion/extension task. To evaluate the effects of non-uniform motion and poor coordination skills on the quality of the reconstructed images, we performed a comparison between fully free movement and movement instructed by a visual cue. The trigger signal for self-gating was extracted using principal component analysis (PCA), and the images were reconstructed using a parallel imaging and compressed sensing reconstruction pipeline. The reconstructed 4D movies were scored for image quality and used to derive bone kinematics through image registration. Using our method, we were able to obtain 4D high-resolution movies of the knee without the need for external triggering hardware. The movies obtained with and without instruction did not differ significantly in terms of image scoring and quantitative values for tibiofemoral kinematics. Our method showed to be robust for the extraction of the self-gating signal even for uninstructed motion. This can make the technique suitable for patients who, as a result of pain, may find it difficult to comply exactly with instructions. Furthermore, bone kinematics can be derived from accelerated MRI without the need for additional hardware for triggering.

KEYWORDS:

bone kinematics; cine MRI; compressed sensing; dynamic MRI; knee; principal component analysis

PMID:
28873255
DOI:
10.1002/nbm.3791
[Indexed for MEDLINE]

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