| 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 |
| Radiology |
| 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. |
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| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/88976 |
| 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)
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