eprintid: 10192642
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/19/26/42
datestamp: 2024-05-21 13:39:41
lastmod: 2024-05-21 13:39:41
status_changed: 2024-05-21 13:39:41
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Zhang, Xuechen
creators_name: Cheng, Isaac
creators_name: Jin, Yingzhao
creators_name: Shi, Jiandong
creators_name: Li, Chenrui
creators_name: Xue, Jing-Hao
creators_name: Tam, Lai-Shan
creators_name: Yu, Weichuan
title: DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation
analysis using hand HR-pQCT images
ispublished: pub
divisions: UCL
divisions: B04
divisions: C06
divisions: F61
keywords: Elastic Riemannian metric; 
Statistical shape analysis;
Applied differential geometry; 
Inflammatory rheumatic disease; 
Bone proliferation analysis
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Bone proliferation is an important pathological feature of inflammatory rheumatic diseases. Although recent advance in high-resolution peripheral quantitative computed tomography (HR-pQCT) enables physicians to study microarchitectures, physicians' annotation of proliferation suffers from slice inconsistency and subjective variations. Also, there are only few effective automatic or semi-automatic tools for proliferation detection. In this study, by integrating pathological knowledge of proliferation formation with the advancement of statistical shape analysis theory, we present an unsupervised method, named Deformation-Controllable Elastic Shape model, for 3D bone Proliferation Analysis (DCES-PA). Unlike previous shape analysis methods that directly regularize the smoothness of the displacement field, DCES-PA regularizes the first and second-order derivative of the displacement field and decomposes these vector fields according to different deformations. For the first-order elastic metric, DCES-PA orthogonally decomposes the first-order derivative of the displacement field by shearing, scaling and bending deformation, and then penalize deformations triggering proliferation formation. For the second-order elastic metric, DCES-PA encodes both intrinsic and extrinsic surface curvatures into the second-order derivative of the displacement field to control the generation of high-curvature regions. By integrating the elastic shape metric with the varifold distances, DCES-PA achieves correspondence-free shape analysis. Extensive experiments on both simulated and real clinical datasets demonstrate that DCES-PA not only shows an improved accuracy than other state-of-the-art shape-based methods applied to proliferation analysis but also produces highly sensitive proliferation annotations to assist physicians in proliferation analysis.
date: 2024-06
date_type: published
publisher: Elsevier
official_url: http://dx.doi.org/10.1016/j.compbiomed.2024.108533
full_text_type: other
language: eng
verified: verified_manual
elements_id: 2274000
doi: 10.1016/j.compbiomed.2024.108533
medium: Print-Electronic
pii: S0010-4825(24)00617-6
lyricists_name: Xue, Jinghao
lyricists_id: JXUEX60
actors_name: Xue, Jinghao
actors_id: JXUEX60
actors_role: owner
full_text_status: restricted
publication: Computers in Biology and Medicine
volume: 175
article_number: 108533
event_location: United States
issn: 0010-4825
citation:        Zhang, Xuechen;    Cheng, Isaac;    Jin, Yingzhao;    Shi, Jiandong;    Li, Chenrui;    Xue, Jing-Hao;    Tam, Lai-Shan;           Zhang, Xuechen;  Cheng, Isaac;  Jin, Yingzhao;  Shi, Jiandong;  Li, Chenrui;  Xue, Jing-Hao;  Tam, Lai-Shan;  Yu, Weichuan;   - view fewer <#>    (2024)    DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images.                   Computers in Biology and Medicine , 175     , Article 108533.  10.1016/j.compbiomed.2024.108533 <https://doi.org/10.1016/j.compbiomed.2024.108533>.      
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10192642/1/CIBM-XuechenZhang-2024.pdf