AR 수술 환경에서 PBD 기반 유방 영역 변형 시뮬레이션
PBD Based Breast Region Deformation Simulation in AR Surgical Environments
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초록
의료영상 촬영 자세와 수술 자세의 차이, 환자의 호흡 등의 이유로 촬영된 유방의 형태와 현재 유방의 형태가 달라질 수 있다. 본 논문에서는 수술 전 촬영한 CT 영상으로 생성한 3차원 몸통 모델과 AR 수술 중 깊이 센서를 이용하여 3차원 스캔한 피부 표면 모델 간 형태 차이를 줄이기 위하여 PBD 기반 유방 변형 시뮬레이션 기법을 제안한다. 연체의 특성을 고려하기 위하여 길이, 각도, 부피 보존 제약조건을 적용하였으며, 몸통 모델의 유두 위치를 피부 스캔 모델의 유두 위치로 이동시켜 유방의 형태 오차를 줄이기 위한 제약조건을 제안한다. 두 모델 간 표면 오차가 변형 전 평균 8.22mm에서 변형 후 6.42mm, 유두 오차는 변형 전 평균 10.03mm에서 변형 후 6.85mm로 줄어들어 본 제안 기법으로 유방의 형태 차이를 줄일 수 있음을 확인할 수 있었다.
Abstract
In this paper, we propose a PBD-based breast deformation simulation technique to reduce the differences in shape between a 3D torso model generated from preoperative CT images and a 3D skin surface model scanned using depth sensors during AR surgery. Variations in patient positioning, respiration, and other factors can affect breast shape. We use constraints for length, angles, and volume to consider anatomical features and introduce nipple position alignment to minimize differences. Results demonstrate the technique's effectiveness, reducing surface differences from 8.22mm to 6.42mm and nipple differences from 10.03mm to 6.85mm after deformation.
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