Evidence map›Paper›PMID 42576103›Full record

ArticleAnnals of biomedical engineering2026

Subject-Specific Finite Element Analysis of the Foot Using a Simplified Parametric Bone Model from Weight-Bearing Radiographs.

Olamide Robiat Hassan, Siwoo Jung, Youngbin Lim, Luca Quagliato, Jungeun Gwon, Sewon Kim, Hyesu Son, Seohyun Lee, Gu-Hee Jung, Taeyong Lee

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Olamide Robiat Hassan *Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea.
Siwoo Jung *Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea.
Youngbin LimSIMULIA, Dassault Systèmes Korea, Seoul, 06164, Republic of Korea.
Luca QuagliatoDepartment of Industrial Engineering, University of Trento, 38123, Trento, Italy.
Jungeun GwonDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea.
Sewon KimDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea.
Hyesu SonDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea.
Seohyun LeeDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea.
Gu-Hee JungDepartment of Orthopaedic Surgery, GIJANG Hospital, 6, Daecheong-ro 72beon-gil, Gijang-eup, Gijang-gun, Busan, 46072, Republic of Korea. jyujin2001@hotmail.com.
Taeyong LeeDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea. tlee@ewha.ac.kr.ORCID http://orcid.org/0000-0002-0176-0525

Funding

Ministry of Education NRF-5199990614253National Research Foundation of Korea RS-2026-25484582
6 · The paper itself

Abstract

purposeAnalyzing foot biomechanics is essential for understanding plantar load distribution, particularly in relation to structural variations, including deformities such as flat foot and high arch, relative to the normal arch. Finite element analysis (FEA) is widely used to model foot biomechanics; however, traditional FEA approaches rely on detailed anatomical data from computed tomography (CT) scans, which are costly, expose subjects to radiation, and require substantial computational resources.

methodsThis proof-of-concept study presents a novel pipeline for generating a simplified, parametric 3D foot bone model from weight-bearing X-ray images in four views: lateral, dorsoplantar, anteroposterior, and hindfoot alignment. Image-derived bone lengths, angles, and offsets defined geometric primitives for constructing a personalized bone assembly, which was embedded into the subject's scanned foot surface and evaluated using FEA under static standing conditions. Plantar pressure served as the primary validation metric, comparing results from the simplified model with experimental measurements and a CT-based model.

resultsThe simplified model reproduced the experimental plantar pressure pattern with relative errors of 4.38, 8.33, and 3.66% in the hindfoot, midfoot, and forefoot, respectively, while reducing computation time by approximately 90%. A supplementary evaluation across four additional subjects with various foot conditions showed consistent performance, with less than 9% deviation in regional peak pressure compared with experimental measurements.

conclusionThese findings demonstrate the feasibility of X-ray-based parametric modeling as a lightweight and scalable alternative for personalized foot analysis, with potential applications in rapid orthotic and insole design, subject-specific assessment in low-resource settings, and large-scale biomechanical screening.

Indexed as

Finite element analysisFoot biomechanicsParametric modelingPlantar pressureSubject-specific modelingX-ray imaging

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.