A System for 3D Reconstruction Of Comminuted Tibial Plafond Bone Fractures
Pengcheng Liu, Nathan Hewitt, Waseem Shadid, Andrew Willis

TL;DR
This paper introduces a semi-automatic 3D reconstruction system from CT images that quantifies fracture severity of comminuted tibial plafond fractures using novel metrics like surface area and fragment dispersion, aiming to improve treatment assessment.
Contribution
It presents a new computational system with algorithms for 3D reconstruction and quantitative fracture severity metrics, addressing limitations of qualitative evaluation methods.
Findings
Successfully reconstructed 3D fracture models from CT scans.
Provided quantitative metrics for fracture severity assessment.
Analyzed six clinical tibial plafond fracture cases.
Abstract
High energy impacts at joint locations often generate highly fragmented, or comminuted, bone fractures. Current approaches for treatment require physicians to decide how to classify the fracture within a hierarchy fracture severity categories. Each category then provides a best-practice treatment scenario to obtain the best possible prognosis for the patient. This article identifies shortcomings associated with qualitative-only evaluation of fracture severity and provides new quantitative metrics that serve to address these shortcomings. We propose a system to semi-automatically extract quantitative metrics that are major indicators of fracture severity. These include: (i) fracture surface area, i.e., how much surface area was generated when the bone broke apart, and (ii) dispersion, i.e., how far the fragments have rotated and translated from their original anatomic positions. This…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced X-ray and CT Imaging · Dental Radiography and Imaging · Medical Imaging Techniques and Applications
