Evidence map›Paper›PMID 42399950›Full record

ArticleBiomedical engineering online2026

Kinematic tracking of the small bones of the wrist in sequential 3DCT and dynamic 4DCT volume images using open-source Hierarchical 3D Registration, a module within SlicerAutoscoper

Joseph J Crisco, Amy M Morton, Cesar Lopez, Andrew Thoreson, Kristin D Zhao, John D Holtgrewe, Jean-Christophe Fillion-Robin, Beatriz Paniagua

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Joseph J CriscoDepartment of Orthopedics, The Warren Alpert Medical School of Brown University and Rhode Island Hospital and Brown University Health, 1 Hoppin Street, CORO West, Suite 404, Providence, RI, 02903, USA. joseph_crisco@brown.edu.ORCID http://orcid.org/0000-0002-8786-0905
Amy M MortonDepartment of Orthopedics, The Warren Alpert Medical School of Brown University and Rhode Island Hospital and Brown University Health, 1 Hoppin Street, CORO West, Suite 404, Providence, RI, 02903, USA.
Cesar LopezAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, MN, USA.
Andrew ThoresonAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, MN, USA.
Kristin D ZhaoAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, MN, USA.
John D HoltgreweDepartment of Orthopedics, The Warren Alpert Medical School of Brown University and Rhode Island Hospital and Brown University Health, 1 Hoppin Street, CORO West, Suite 404, Providence, RI, 02903, USA.
Jean-Christophe Fillion-RobinKitware Inc., Clifton Park, New York, USA.
Beatriz PaniaguaKitware Inc., Clifton Park, New York, USA.

Funding

Multi-modal Tracking of In Vivo Skeletal Structures and ImplantsR01AR078924 · NIAMS · RHODE ISLAND HOSPITAL · PI CRISCO, JOSEPH J · 2022 to 2024
$2.6M
4D CT Imaging for Improved Diagnosis and Treatment of Wrist Ligament InjuriesR01AR071338 · NIAMS · MAYO CLINIC ROCHESTER · PI ZHAO, KRISTIN DAIGLE · 2017 to 2021
$2.2M
NIAMS NIH HHS R01 AR071338NIAMS NIH HHS R01AR071338NIAMS NIH HHS R01 AR078924NIAMS NIH HHS R01AR078924
6 · The paper itself

Abstract

Quantitative kinematic tracking of in vivo skeletal structures efficiently and with high temporal resolution is important to a wide range of questions in biomechanical research. As such, software tools are needed for efficient, semi-automated registration of bones imaged with either 3DCT or 4DCT. This study presents Hierarchical 3D Registration (3DH), an open-source approach to skeletal tracking of three-dimensional image volume sets. The 3DH approach and software are presented using sequential 3DCT datasets of participants performing various thumb tasks and dynamic 4DCT datasets of simulated flexion-extension in cadaveric wrists collected in previous studies. The agreement in computed arthrokinematics with previously calculated values using independent approaches for 3DCT and 4DCT data was assessed with Bland-Altman analyses. Using 3DH, all target bones were successfully tracked for both the 3DCT and 4DCT sets. For 3DCT data of the radius, first metacarpal and trapezium, the mean bias for the helical angle was -0.06 degrees with 95% limits of agreement ranging between -1.87 degrees and 1.74 degrees. The mean bias for translation was 0.12 mm with 95% limits of agreement ranging between -2.23 mm and 2.00 mm. For 4DCT data of the scaphoid and lunate, mean biases of the Euler angle rotations were less than 0.77 degrees about any direction and widest 95% limits of agreement ranging between - 7.11 degrees and 8.65 degrees. Mean biases of translations were less than 0.5 mm in any direction with widest 95% limits of agreement ranging between - 2.36 mm and 1.43 mm. The ability to track bones from both 3DCT and 4DCT data sources with agreement to prior methodologies demonstrates the 3DH approach is a capable tool, which could promote collaboration and consistency of results using open-source software that is a module in the 3DSlicer computing environment.

Indexed as

Bone and BonesFour-Dimensional Computed TomographyImaging, Three-DimensionalMechanical PhenomenaWristBiomechanical PhenomenaHumansMotion CaptureSoftware3DCT3DH3DSlicer4DCTBone trackingComputed tomography

Identifiers

PMID42399950
PMCPMC13602495

What OpenQuestion holds

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Registered trials

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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.