A rigged model of the breast for preoperative surgical planning
Arnaud Mazier (1), Sophie Ribes (2), Benjamin Gilles (2), St\'ephane, P.A Bordas (1, 3). ((1) Universit\'e du Luxembourg, (2) AnatoScope, (3), China Medical University Hospital)

TL;DR
This paper presents a fast, personalized, deformable breast model for preoperative surgical planning that accurately registers patient scans within seconds, aiding surgeons in drawing and planning without needing extensive databases.
Contribution
The authors develop a novel, scalable, deformable torso model with shape constraints that enables rapid, accurate registration of breast scans for surgical planning without relying on pre-existing databases.
Findings
Registration converges within 3 seconds
Achieves a mean absolute error of 2.3 mm for mesh registration
Works effectively on diverse patient sizes and positions
Abstract
In breast surgical practice, drawing is part of the preoperative planning procedure and is essential for a successful operation. In this study, we design a pipeline to assist surgeons with patient-specific breast surgical drawings. We use a deformable torso model containing the surgical patterns to match any breast surface scan. To be compatible with surgical timing, we build an articulated model through a skinning process coupled with shape deformers to enhance a fast registration process. On one hand, the scalable bones of the skinning account for pose and morphological variations of the patients. On the other hand, pre-designed artistic blendshapes create a linear space for guaranteeing anatomical variations. Then, we apply meaningful constraints to the model to find a trade-off between precision and speed. The experiments were conducted on 7 patients, in 2 different poses (prone and…
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