Imperial College London

Anthony M J Bull FREng

Faculty of EngineeringDepartment of Bioengineering

Professor of Musculoskeletal Mechanics
 
 
 
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Contact

 

+44 (0)20 7594 5186a.bull Website

 
 
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Location

 

Uren 514aSir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Nolte:2023:10.1186/s12938-023-01093-z,
author = {Nolte, D and Xie, S and Bull, A},
doi = {10.1186/s12938-023-01093-z},
journal = {BioMedical Engineering OnLine},
pages = {1--14},
title = {3D shape reconstruction of the femur from planar X-ray images using statistical shape and appearance models},
url = {http://dx.doi.org/10.1186/s12938-023-01093-z},
volume = {22},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Major trauma is a condition that can result in severe bone damage. Customised orthopaedic reconstruction allows for limb salvage surgery and helps to restore joint alignment. For the best possible outcome three dimensional (3D) medical imaging is necessary, but its availability and access, especially in developing countries, can be challenging. In this study, 3D bone shapes of the femur reconstructed from planar radiographs representing bone defects were evaluated for use in orthopaedic surgery. Statistical shape and appearance models generated from 40 cadaveric X-ray computed tomography (CT) images were used to reconstruct 3D bone shapes. The reconstruction simulated bone defects of between 0% and 50% of the whole bone, and the prediction accuracy using anterior–posterior (AP) and anterior–posterior/medial–lateral (AP/ML) X-rays were compared. As error metrics for the comparison, measures evaluating the distance between contour lines of the projections as well as a measure comparing similarities in image intensities were used. The results were evaluated using the root-mean-square distance for surface error as well as differences in commonly used anatomical measures, including bow, femoral neck, diaphyseal–condylar and version angles between reconstructed surfaces from the shape model and the intact shape reconstructed from the CT image. The reconstructions had average surface errors between 1.59 and 3.59 mm with reconstructions using the contour error metric from the AP/ML directions being the most accurate. Predictions of bow and femoral neck angles were well below the clinical threshold accuracy of 3°, diaphyseal–condylar angles were around the threshold of 3° and only version angle predictions of between 5.3° and 9.3° were above the clinical threshold, but below the range reported in clinical practice using computer navigation (i.e., 17° internal to 15° external rotation). This study shows that the reconstruc
AU - Nolte,D
AU - Xie,S
AU - Bull,A
DO - 10.1186/s12938-023-01093-z
EP - 14
PY - 2023///
SN - 1475-925X
SP - 1
TI - 3D shape reconstruction of the femur from planar X-ray images using statistical shape and appearance models
T2 - BioMedical Engineering OnLine
UR - http://dx.doi.org/10.1186/s12938-023-01093-z
UR - https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-023-01093-z
UR - http://hdl.handle.net/10044/1/103484
VL - 22
ER -