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A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis

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Title: A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
Authors: Ou, Yafei Browse this author
Ambalathankandy, Prasoon Browse this author
Furuya, Ryunosuke Browse this author
Kawada, Seiya Browse this author
Zeng, Tianyu Browse this author
An, Yujie Browse this author
Kamishima, Tamotsu Browse this author →KAKEN DB
Tamura, Kenichi Browse this author
Ikebe, Masayuki Browse this author →KAKEN DB
Keywords: Rheumatoid Arthritis
Frequency Domain Analysis
Joint Space Narrowing
Phantom Imaging
Computer-aided Diagnosis
Issue Date: Jan-2023
Publisher: IEEE (Institute of Electrical and Electronics Engineers)
Journal Title: IEEE Journal of Biomedical and Health Informatics
Volume: 27
Issue: 1
Start Page: 53
End Page: 64
Publisher DOI: 10.1109/JBHI.2022.3217685
Abstract: Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects peripheral synovial joints, like fingers, wrists and feet. Radiology plays a critical role in the diagnosis and monitoring of RA. Limited by the current spatial resolution of radiographic imaging, joint space narrowing (JSN) progression of RA for the same reason above can be less than one pixel per year with universal spatial resolution. Insensitive monitoring of JSN can hinder the radiologist/rheumatologist from making a proper and timely clinical judgment. In this paper, we propose a novel and sensitive method that we call partial image phase-only correlation which aims to automatically quantify JSN progression in the early RA. The majority of the current literature utilizes the mean error, root-mean-square deviation and standard deviation to report the accuracy at pixel level. Our work measures JSN progression between a baseline and its follow-up finger joint images by using the phase spectrum in the frequency domain. Using this study, the mean error can be reduced to 0.0130 mm when applied to phantom radiographs with ground truth, and 0.0519 mm standard deviation for clinical radiography. With the sub-pixel accuracy far beyond usual manual measurements, we are optimistic that the proposed work is a promising scheme for automatically quantifying JSN progression.
Rights: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Type: article (author version)
Appears in Collections:量子集積エレクトロニクス研究センター (Research Center for Integrated Quantum Electronics) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 池辺 将之

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