Multi-view stereophotogrammetry for post-mastectomy breast reconstruction

Ju, X., Henseler, H., Peng, M. J.-q., Khambay, B. S., Ray, A. K. and Ayoub, A. F. (2016) Multi-view stereophotogrammetry for post-mastectomy breast reconstruction. Medical and Biological Engineering and Computing, 54(2), pp. 475-484. (doi: 10.1007/s11517-015-1334-3) (PMID:26133282)

Abstract

A multi-view three-dimensional stereophotogrammetry system was developed to capture 3D shape of breasts for breast cancer patients. The patients had received immediate unilateral breast reconstruction after mastectomy by the extended latissimus dorsi flap and without contralateral surgery. In order to capture the whole breast shape including the inframammary fold, the patients were introduced to the imaging room and leaned over the imaging rig to open up the inframammary fold and to expose the entire area of each breast. The imaging system consisted of eight high-resolution (4504×3000 pixels) digital cameras and four flash units. The cameras were arranged in four stereo pairs from four different view angles to cover the whole surface of the breasts. The system calibration was carried out ahead of every capture session, and the stereo images were matched to generate four range images to be integrated using an elastic model proposed. A watertight breast mesh model was reconstructed to measure the volume of the breast captured. The accuracy of using the developed multi-view stereophotogrammetry system for breast volume measurement was 11.12cc with SEM 7.74cc, comparing to the measurements of the water displacement method. It was concluded that the 3D stereophotogrammetry image system developed was more reliable than the method of water displacement.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ju, Dr Xiangyang and Ayoub, Professor Ashraf and Khambay, Dr Balvinder
• Authors: Ju, X., Henseler, H., Peng, M. J.-q., Khambay, B. S., Ray, A. K., and Ayoub, A. F.
• College/School: College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Dental School
• Journal Name: Medical and Biological Engineering and Computing
• Publisher: Springer Berlin Heidelberg
• ISSN: 0140-0118
• ISSN (Online): 1741-0444