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Published in: Aesthetic Plastic Surgery 4/2011

01-08-2011 | Original Article

Customized Planning of Augmentation Mammaplasty with Silicon Implants Using Three-Dimensional Optical Body Scans and Biomechanical Modeling of Soft Tissue Outcome

Authors: Evgeny Gladilin, Barbora Gabrielova, Paolo Montemurro, Per Hedén

Published in: Aesthetic Plastic Surgery | Issue 4/2011

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Abstract

The aesthetic results of augmentation mammaplasty are essentially determined by the size and the shape of the implant as well as its position on the chest. To achieve successful aesthetic results, customized surgery planning based on a reliable visual concept of the prospective surgery outcome and quantitative methods for assessment of three-dimensional (3D) breast shape could be of considerable additional value. This report evaluates a novel method for customized planning and quantitative optimization of breast augmentation based on 3D optical body scanning of the patient’s breast and computational modeling of soft tissue mechanics. This method allows a 3D photo-realistic appearance of postsurgery breasts to be simulated for different surgical scenarios. It also allows the result of a virtual simulation to be implemented using measurements derived from a computationally predicted breast model. A series of clinical studies are presented that demonstrate the feasibility and accuracy of the proposed approach for customized 3D planning of breast augmentation, including direct comparison between simulated and postsurgery results. Our experimental results show that for 89% of the breast surface, the average difference between the simulated and postsurgery breast models amounts to less than 1 mm. The presented method for customized planning of augmentation mammaplasty enables realistic prediction and quantitative optimization of postsurgery breast appearance. Based on individual 3D data and physical modeling, the described approach enables more accurate and reliable predictions of surgery outcomes than conventionally used photos of prior patients, drawings, or ad hoc data manipulation. Moreover, it provides precise quantitative data for bridging the gap between virtual simulation and real surgery.
Literature
1.
go back to reference Tebbetts JB (2006) Augmentation mammaplasty: quantitative tissue assessment and planning: surgery of the breast: principles and art, 2nd ed. Lippincott Williams and Wilkins, Philadelphia, PA, USA, pp 1261–1288 Tebbetts JB (2006) Augmentation mammaplasty: quantitative tissue assessment and planning: surgery of the breast: principles and art, 2nd ed. Lippincott Williams and Wilkins, Philadelphia, PA, USA, pp 1261–1288
2.
go back to reference Hedén P (2006) Breast augmentation with anatomical, high cohesive silicon gel implants: surgery of the breast: principles and art, 2nd ed. Lippincott Williams and Wilkins, Philadelphia, PA, USA, pp 1344–1366 Hedén P (2006) Breast augmentation with anatomical, high cohesive silicon gel implants: surgery of the breast: principles and art, 2nd ed. Lippincott Williams and Wilkins, Philadelphia, PA, USA, pp 1344–1366
3.
go back to reference Cunningham BL (2005) Gel breast implants: where are we now? Post-market surveillance and other considerations. Presented at the 1st annual QMP aesthetic surgery symposium, St. Louis, MO, USA, 21–23 Oct 2005 Cunningham BL (2005) Gel breast implants: where are we now? Post-market surveillance and other considerations. Presented at the 1st annual QMP aesthetic surgery symposium, St. Louis, MO, USA, 21–23 Oct 2005
4.
go back to reference Azar FS, Metaxas DN, Schnall MD (2001) A deformable finite-element model of the breast for predicting mechanical deformations under external perturbations. Acad Radiol 8:965–975PubMedCrossRef Azar FS, Metaxas DN, Schnall MD (2001) A deformable finite-element model of the breast for predicting mechanical deformations under external perturbations. Acad Radiol 8:965–975PubMedCrossRef
5.
go back to reference Samani A, Bishop J, Yaffe M, Plewes D (2001) Biomechanical 3-D finite element modeling of the human breast using MRI data. IEEE Trans Med Imaging 20:271–279PubMedCrossRef Samani A, Bishop J, Yaffe M, Plewes D (2001) Biomechanical 3-D finite element modeling of the human breast using MRI data. IEEE Trans Med Imaging 20:271–279PubMedCrossRef
6.
go back to reference Tanner C, Schnabel J, Degenhard A, Castellano SA, Hayes C, Leach M, Rose D, Hill D, Hawkes D (2002) Validation of volume-preserving nonrigid registration: application to contrast-enhanced MR mammography. In: Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI). Lecture Notes in Computer Science 2489, pp 307–314 Tanner C, Schnabel J, Degenhard A, Castellano SA, Hayes C, Leach M, Rose D, Hill D, Hawkes D (2002) Validation of volume-preserving nonrigid registration: application to contrast-enhanced MR mammography. In: Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI). Lecture Notes in Computer Science 2489, pp 307–314
7.
go back to reference Pamplona DC, Alvim CA (2004) Breast reconstruction with expanders and implants: a numerical analysis. Artif Organs 28:353–356PubMedCrossRef Pamplona DC, Alvim CA (2004) Breast reconstruction with expanders and implants: a numerical analysis. Artif Organs 28:353–356PubMedCrossRef
8.
go back to reference Ruiter N, Stotzka R (2006) Model-based registration of x-ray mammograms and MR images of the female breast. IEEE Trans Nucl Sci 53:204–211CrossRef Ruiter N, Stotzka R (2006) Model-based registration of x-ray mammograms and MR images of the female breast. IEEE Trans Nucl Sci 53:204–211CrossRef
9.
go back to reference Chunga JH, Rajagopala V, Laursenb TA, Nielsena PMF, Nasha MP (2008) Frictional contact mechanics methods for soft materials: application to tracking breast cancers. J Biomech 41:69–77CrossRef Chunga JH, Rajagopala V, Laursenb TA, Nielsena PMF, Nasha MP (2008) Frictional contact mechanics methods for soft materials: application to tracking breast cancers. J Biomech 41:69–77CrossRef
10.
go back to reference Kovacs L, Eder M, Hollweck R, Zimmermann A, Settles M, Schneider A, Endlich M, Mueller A, Schwenzer-Zimmerer K, Papadopulos NA, Biemer E (2007) Comparison between the breast volume measurement using 3D surface imaging and classical techniques. Breast 16:137–145PubMedCrossRef Kovacs L, Eder M, Hollweck R, Zimmermann A, Settles M, Schneider A, Endlich M, Mueller A, Schwenzer-Zimmerer K, Papadopulos NA, Biemer E (2007) Comparison between the breast volume measurement using 3D surface imaging and classical techniques. Breast 16:137–145PubMedCrossRef
11.
go back to reference Catanutoa G, Spanoa A, Pennatia A, Riggioa E, Farinellab GM, Impococ G, Spotob S, Gallob G, Nava MB (2008) Experimental methodology for digital breast shape analysis and objective surgical outcome evaluation. J Plast Reconstr Aesthet Surg 61:314–318CrossRef Catanutoa G, Spanoa A, Pennatia A, Riggioa E, Farinellab GM, Impococ G, Spotob S, Gallob G, Nava MB (2008) Experimental methodology for digital breast shape analysis and objective surgical outcome evaluation. J Plast Reconstr Aesthet Surg 61:314–318CrossRef
12.
go back to reference Kim Y, Lee K, Kim W (2008) 3D virtual simulator for breast plastic surgery. Comput Animat Virtual Worlds 19:515–526CrossRef Kim Y, Lee K, Kim W (2008) 3D virtual simulator for breast plastic surgery. Comput Animat Virtual Worlds 19:515–526CrossRef
13.
go back to reference Tepper O (2009) 3D imaging for planning and analysis in aesthetic breast surgery. Plast Reconstr Surg 124:108–109 Tepper O (2009) 3D imaging for planning and analysis in aesthetic breast surgery. Plast Reconstr Surg 124:108–109
14.
go back to reference Gladilin E (2003) Biomechanical modeling of soft tissue. PhD thesis, Free University of Berlin Gladilin E (2003) Biomechanical modeling of soft tissue. PhD thesis, Free University of Berlin
15.
go back to reference Gladilin E (2008) Individual prediction and optimization of breast augmentation using 3D scans and biomechanical simulation of soft tissue. In: Presented at Beauty Through Science (BTS). Akademikliniken’s fourth international aesthetic symposium, Stockholm, Sweden, 5–7 June 2008 Gladilin E (2008) Individual prediction and optimization of breast augmentation using 3D scans and biomechanical simulation of soft tissue. In: Presented at Beauty Through Science (BTS). Akademikliniken’s fourth international aesthetic symposium, Stockholm, Sweden, 5–7 June 2008
16.
go back to reference Hedén P (2009) Breast augmentation. In: Eriksson G, Saunders P (eds) Plastic surgery. Elsevier, Amsterdam, Netherlands, pp 1561–1574 Hedén P (2009) Breast augmentation. In: Eriksson G, Saunders P (eds) Plastic surgery. Elsevier, Amsterdam, Netherlands, pp 1561–1574
17.
go back to reference Hedén P (2009) Mastopexy augmentation with form stable breast implants. Clin Plast Surg 36:91–104PubMedCrossRef Hedén P (2009) Mastopexy augmentation with form stable breast implants. Clin Plast Surg 36:91–104PubMedCrossRef
18.
go back to reference Allergan Co (2007) The Rossetta study. Personal Communication Allergan Co (2007) The Rossetta study. Personal Communication
Metadata
Title
Customized Planning of Augmentation Mammaplasty with Silicon Implants Using Three-Dimensional Optical Body Scans and Biomechanical Modeling of Soft Tissue Outcome
Authors
Evgeny Gladilin
Barbora Gabrielova
Paolo Montemurro
Per Hedén
Publication date
01-08-2011
Publisher
Springer-Verlag
Published in
Aesthetic Plastic Surgery / Issue 4/2011
Print ISSN: 0364-216X
Electronic ISSN: 1432-5241
DOI
https://doi.org/10.1007/s00266-010-9642-3

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