ArticleBioengineering (Basel, Switzerland)2024
Deep Learning-Based Automated Measurement of Murine Bone Length in Radiographs.
Ruichen Rong, Kristin Denton, Kevin W Jin, Peiran Quan, Zhuoyu Wen, Julia Kozlitina, Stephen Lyon, Aileen Wang, Carol A Wise, Bruce Beutler and 4 more
Abstract read
In one paragraphArticle in Bioengineering (Basel, Switzerland), 2024. 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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5 · Who and what moneyAuthors and funding
14 authors.
Ruichen RongQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-3205-8915 Kristin DentonCenter for Pediatric Bone Biology and Translational Research, Scottish Rite for Children, Dallas, TX 75219, USA.
Kevin W JinQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-9217-4803 Peiran QuanQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Zhuoyu WenQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-0879-6125 Julia KozlitinaMcDermott Center for Human Growth and Development, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0001-7720-2290 Stephen LyonCenter for the Genetics of Host Defense, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-6198-3827 Aileen WangQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Carol A WiseCenter for Pediatric Bone Biology and Translational Research, Scottish Rite for Children, Dallas, TX 75219, USA.
Bruce BeutlerCenter for the Genetics of Host Defense, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Donghan M YangQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0003-1935-0214 Qiwei LiDepartment of Mathematical Sciences, The University of Texas at Dallas, Richardson, TX 75083, USA.ORCID 0000-0002-1020-3050 Jonathan J RiosCenter for Pediatric Bone Biology and Translational Research, Scottish Rite for Children, Dallas, TX 75219, USA.ORCID 0000-0002-0969-2184 Guanghua XiaoQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Funding
MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2MCancer Prevention and Research Institute of Texas CPRIT RP230330NIH HHS R01GM140012, R01GM115473, 1U01CA249245NLM NIH HHS T15 LM007056Scottish Rite for Children (to J.J.R.).
6 · The paper itselfAbstract
Genetic mouse models of skeletal abnormalities have demonstrated promise in the identification of phenotypes relevant to human skeletal diseases. Traditionally, phenotypes are assessed by manually examining radiographs, a tedious and potentially error-prone process. In response, this study developed a deep learning-based model that streamlines the measurement of murine bone lengths from radiographs in an accurate and reproducible manner. A bone detection and measurement pipeline utilizing the Keypoint R-CNN algorithm with an EfficientNet-B3 feature extraction backbone was developed to detect murine bone positions and measure their lengths. The pipeline was developed utilizing 94 X-ray images with expert annotations on the start and end position of each murine bone. The accuracy of our pipeline was evaluated on an independent dataset test with 592 images, and further validated on a previously published dataset of 21,300 mouse radiographs. The results showed that our model performed comparably to humans in measuring tibia and femur lengths (R
Indexed as
deep learningkeypoint detectionmouse models
Identifiers
PMID39061752
PMCPMC11273961
What OpenQuestion holds
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LicenceCC BY
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