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Magnetic Resonance Materials in Physics, Biology and Medicine
Published in: Magnetic Resonance Materials in Physics, Biology and Medicine 2/2016

01-04-2016 | Review Article

Segmentation of joint and musculoskeletal tissue in the study of arthritis

Authors: Valentina Pedoia, Sharmila Majumdar, Thomas M. Link

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 2/2016

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Abstract

As the most frequent cause of physical disability, musculoskeletal diseases such as arthritis and osteoporosis have a great social and economical impact. Quantitative magnetic resonance imaging (MRI) biomarkers are important tools that allow clinicians to better characterize, monitor, and even predict musculoskeletal disease progression. Post-processing pipelines often include image segmentation. Manually identifying the border of the region of interest (ROI) is a difficult and time-consuming task. Manual segmentation is also affected by inter- and intrauser variability, thus limiting standardization. Fully automatic or semi-automatic methods that minimize the user interaction are highly desirable. Unfortunately, an ultimate, highly reliable and extensively evaluated solution for joint and musculoskeletal tissue segmentation has not yet been proposed, and many clinical studies still adopt fully manual procedures. Moreover, the clinical translation of several promising quantitative MRI techniques is highly affected by the lack of an established, fast, and accurate segmentation method. The goal of this review is to present some of the techniques proposed in recent literature that have been adopted in clinical studies for joint and musculoskeletal tissue analyses in arthritis patients. The most widely used MRI sequences and image processing algorithms employed to accomplish segmentation challenges will be discussed in this paper.
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Metadata
Title
Segmentation of joint and musculoskeletal tissue in the study of arthritis
Authors
Valentina Pedoia
Sharmila Majumdar
Thomas M. Link
Publication date
01-04-2016
Publisher
Springer Berlin Heidelberg
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 2/2016
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-016-0532-9

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