2017
DOI: 10.1155/2017/7232751
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Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist

Abstract: This paper describes a method based on an automatic segmentation process to coregister carpal bones of the same patient imaged at different time points. A rigid registration was chosen to avoid artificial bone deformations and to allow finding eventual differences in the bone shape due to erosion, disease regression, or other eventual pathological signs. The actual registration step is performed on the basis of principal inertial axes of each carpal bone volume, as estimated from the inertia matrix. In contras… Show more

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(1 citation statement)
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“…13,14 The initial segmentation approaches of wrist cartilage were manual with the commonly acknowledged caveats related to duration and reproducibility. 6,15 More recently, automatic and semi-automatic segmentation methods have been reported for large structures such as bone, 3,16,17 and very few of them have been reported for wrist cartilage likely as a result of the corresponding complex anatomy. An accurate segmentation method of wrist cartilage would be of high interest especially in rheumatoid arthritis (RA), in which the pathological process has been reported to start in small joints of hand 18 and to affect cartilage rather than bone.…”
Section: Introductionmentioning
confidence: 99%
“…13,14 The initial segmentation approaches of wrist cartilage were manual with the commonly acknowledged caveats related to duration and reproducibility. 6,15 More recently, automatic and semi-automatic segmentation methods have been reported for large structures such as bone, 3,16,17 and very few of them have been reported for wrist cartilage likely as a result of the corresponding complex anatomy. An accurate segmentation method of wrist cartilage would be of high interest especially in rheumatoid arthritis (RA), in which the pathological process has been reported to start in small joints of hand 18 and to affect cartilage rather than bone.…”
Section: Introductionmentioning
confidence: 99%