Peer-Reviewed Publication
Med Image Anal2026;115104281.August 31, 2026Journal Article
Towards patient-specific optimization for mandibular reconstruction planning based on predicted bone-union propensity.
Hamidreza Aftabi1, John E Lloyd2, Amanda Ding3, Benedikt Sagl4, Eitan Prisman3, Antony Hodgson5, Sidney Fels2
1Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada; The Hospital for Sick Children (SickKids), Toronto, ON, Canada. Electronic address: aftabi@student.ubc.ca.
2Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada.
3Department of Surgery, University of British Columbia, Gordon and Leslie Diamond Health Care Centre, Vancouver, BC, Canada.
4Competence Center Artificial Intelligence in Dentistry, University Clinic of Dentistry, Medical University of Vienna, Vienna, Austria; Comprehensive Center Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria.
5Department of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada.
Abstract
Mandibular reconstruction with vascularized bone grafts is complicated by donor-host nonunion, and current virtual surgical planning produces a geometric plan rather than optimizing for bone-union propensity at the donor-host interface. We present OsteoOpt++, an image-to-decision planning loop for patient-specific mandibular reconstruction. A pre-operative computed tomography (CT) is converted int…
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