A rigged model of the breast for preoperative surgical planning

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 supine) with a breast size ranging from 36A and 42C (US/UK bra sizing). The acquisitions were obtained using the depth camera Structure Sensor, and the breast scans were acquired in less than 1 minute. The result is a registration method converging within a few seconds (3 maximum), reaching a Mean Absolute Error of 2.3 mm for mesh registration and 8.0 mm for breast anatomical landmarks. Compared to the existing literature, our model can be personalized and does not require any database. Finally, our registered model can be used to transfer surgical reference patterns onto any patient in any position.