ArticleMedical image analysis2022
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
Article in Medical image analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 7 citations in OpenAlex.
- Antero-inferior glenohumeral instability is associated with an abnormal position of the coracoid process.JSES international · 2026Article
- Linking shape and clinical outcomes: Statistical shape model of Bidirectional Glenn connection in congenital single ventricle patients.PLOS digital health · 2026Article
- Population-specific statistical shape modeling of the Japanese shoulder: a combined analysis of the scapula and humerus stratified by sex and stature.JSES international · 2026Article
- Investigating the role of structural wall stress in aortic growth prognosis in acute uncomplicated type B aortic dissection.Biomechanics and modeling in mechanobiology · 2025Article
- Patellar and Femoral Bone Morphology Is Associated With Overweight and Sports Participation in Young Adolescents.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Sex differences in photon-counting detector computed tomography-derived scaphotrapeziotrapezoid joint morphometrics.Skeletal radiology · 2025Article
- A framework for three-dimensional statistical shape modeling of the proximal femur in Legg-Calvé-Perthes disease.International journal of computer assisted radiology and surgery · 2025Article
- Cam Morphology and Sex-Based Differences in the Proximal Femur Anatomy of Collegiate Athletes Without Hip Pain: A 3-Dimensional Statistical Shape Modeling Analysis.Orthopaedic journal of sports medicine · 2025Article
- Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images.Shape in medical imaging : International Workshop, ShapeMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. ShapeMI (Workshop) (2024 : Marrakech, Morocco) · 2025Article
- Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024Article
- Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review.Journal of clinical medicine · 2024Review
- Automatic data-driven design and 3D printing of custom ocular prostheses.Nature communications · 2024Article
- DeepSSM: A blueprint for image-to-shape deep learning models.Medical image analysis · 2024Article
- On preserving anatomical detail in statistical shape analysis for clustering: focus on left atrial appendage morphology.Frontiers in network physiology · 2024Article
- Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models.Shape in medical imaging : International Workshop, ShapeMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. ShapeMI (Workshop) (2023 : Vancouver, B.C.) · 2023Article
- Feasibility study for the automatic surgical planning method based on statistical model.Journal of orthopaedic surgery and research · 2023Article
- Statistical shape model of the talus bone morphology: A comparison between impinged and nonimpinged ankles.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023Article
- Enabling supra-aortic vessels inclusion in statistical shape models of the aorta: a novel non-rigid registration method.Frontiers in physiology · 2023Article
- Statistical multi-level shape models for scalable modeling of multi-organ anatomies.Frontiers in bioengineering and biotechnology · 2023Article
- Learning spatiotemporal statistical shape models for non-linear dynamic anatomies.Frontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
Statistical shape modeling (SSM) is widely used in biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical shapes. Technological advancements of in vivo imaging have led to the development of open-source computational tools that automate the modeling of anatomical shapes and their population-level variability. However, little work has been done on the evaluation and validation of such tools in clinical applications that rely on morphometric quantifications(e.g., implant design and lesion screening). Here, we systematically assess the outcome of widely used, state-of-the-art SSM tools, namely ShapeWorks, Deformetrica, and SPHARM-PDM. We use both quantitative and qualitative metrics to evaluate shape models from different tools. We propose validation frameworks for anatomical landmark/measurement inference and lesion screening. We also present a lesion screening method to objectively characterize subtle abnormal shape changes with respect to learned population-level statistics of controls. Results demonstrate that SSM tools display different levels of consistencies, where ShapeWorks and Deformetrica models are more consistent compared to models from SPHARM-PDM due to the groupwise approach of estimating surface correspondences. Furthermore, ShapeWorks and Deformetrica shape models are found to capture clinically relevant population-level variability compared to SPHARM-PDM models.
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Registered trials
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.