3d BCT

In 3d BCT we investigate new methods to reconstruct 3D data from one or more uncalibrated views of the breast of the patient. We research a model fitting method, allowing the system to automatically fit a generic deformable model to patient specific three-dimensional (3D) breast surface measurements using a physically-based framework. This can be used to quantitatively and reliably assess the aesthetic outcome of breast reconstructive surgery. In addition this will also allow the surgeon to quantitatively analyze the degrees of various deformities and asymmetries in the shape of the breast. Finally, a model creation mode will allow a surgeon to interactively adjust the shape of the breast by varying key shape variables, analogous to the aesthetic and structural elements surgeons inherently vary manually during breast reconstruction. Our contribution will be a set of global deformations with very intuitive parameters that a physician can apply to a generic geometric primitive in order to model the breast of a patient for pre-operative planning purposes and for communicating and demonstrating this plan to the patient.

 

This project results from a joint collaboration between INESC Porto and FMUP.

Main Publications

  • Journal Papers

Pedro F. B. Silva, Jaime S. Cardoso
Differential Scorecards for Binary and Ordinal data (ACCEPTED)
In Intelligent Data Analysis, 2015.

Maria J. Cardoso, Helder P. Oliveira, Jaime S. Cardoso
Assessing Cosmetic Results after Breast Conserving Surgery
Journal of Surgical Oncology, 2014

Ines Domingues, Jaime S. Cardoso
Max Ordinal Learning
IEEE Transactions on Neural Networks and Learning Systems, 2014

Hélder P. Oliveira, Jaime S. Cardoso, André T. Magalhães and Maria J. Cardoso
A 3D Low-cost Solution for the Aesthetic Evaluation of Breast Cancer Conservative Treatment
In Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2(2), pp. 90-106, 2014 

Ricardo Sousa, Jaime S. Cardoso
The Data Replication Method for the Classification with Reject Option
AI Communications, volume 26, 2013

Hélder P. Oliveira, Jaime S. Cardoso, André Magalhães and Maria J. Cardoso
Methods for the Aesthetic Evaluation of Breast Cancer Conservation Treatment: A Technological Review
In Current Medical Imaging Reviews, 9(1), pp. 32 – 46, 2013 

Mohammed Keshtgar, Norman Williams, Max Bulsara, Christobel Saunders, Henrik Flyger, Jaime S. Cardoso, Tammy Corica, Neils Bentzon, Nikolaos Michalopoulos, David Joseph
Objective assessment of cosmetic outcome after Targeted Intraoperative Radiotherapy in breast cancer: results from a randomised controlled trial
Breast Cancer Research and Treatment, volume 140, 2013

Mohammed R. Keshtgar, Norman R. Williams, Tammy Corica, Max Bulsara, Christobel Saunders, Henrik Flyger, Neils Bentzon, Jaime S. Cardoso, Nikolaus Michalopoulos, David John Joseph
Cosmetic outcome after intraoperative radiotherapy or external beam radiotherapy for early breast cancer: An objective assessment of patients from a randomized controlled trial
Journal of Clinical Oncology 2013

Maria João Cardoso,
Is three better than two? The use of 3D scanners in the assessment of aesthetic results in local breast cancer treatment,
The Breast, vol.21, no.3, pp.227-228, Junho, 2012

Marcelle Immink, Hein Putter, Harry Bartelink, Jaime S. Cardoso, Maria J. Cardoso, M. H. V. van der Hulst-Vijgen, Evert M. Noordijk, Philip M. Poortmans, C. C. Rodenhuis, Henk Struikmans
Long-term cosmetic changes after breast conserving treatment for patients with stage I-II breast cancer and included in the EORTC `boost versus no boost' trial
Annals of Oncology, volume 23, 2012

Maria J. Cardoso, Jaime S. Cardoso, Conny Vrieling, Douglas Macmillan, Dick Rainsbury, Joerg Heil, Eric Hau, Mohammed Keshtgar
Recommendations for the Aesthetic Evaluation of Breast Cancer Conservative Treatment
Breast Cancer Research and Treatment, volume 137, 2012

J. Heil, J. Dahlkamp, M. Golatta, J. Rom, C. Domschke, G. Rauch, Maria João Cardoso, C. Sohn,
Aesthetics in Breast Conserving Therapy: Do Objectively Measured Results Match Patients' Evaluations?,
Annals of Surgical Oncology, vol.18, no.1, pp.134-138, Janeiro, 2011

  • Conference Papers

Joao Costa, Jaime S. Cardoso
oADABOOST: An ADABOOST variant for Ordinal Classification (ACCEPTED)
Proceedings of The International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2015

Ricardo Sousa, Ajalmar Neto, Jaime S. Cardoso, Guilherme Barreto
Classification with Reject Option Using the Self-Organizing Map
Proceedings of International Conference on Artificial Neural Networks (ICANN), 2014.

Ricardo Sousa, Ajalmar Neto, Guilherme Barreto, Jaime S. Cardoso, Miguel Coimbra
Reject Option Paradigm for the Reduction of Support Vectors,
Proceedings of European Symposium on Artificial Neural Networks (ESANN), 2014

Pedro Costa, João P. Monteiro, Hooshiar Zolfagharnasab and Hélder P. Oliveira
Tessellation-based Coarse Registration Method for 3D Reconstruction of the Female Torso 
In Proceedings of the 8th IEEE International Conference on Bioinformatics and Biomedicine, Belfast, United Kingdom, 3 – 5 November, 2014

Diogo Pernes, Jaime S. Cardoso and Hélder P. Oliveira
Fitting of Superquadrics for Breast Modelling by Geometric Distance Minimization 
In Proceedings of the 8th IEEE International Conference on Bioinformatics and Biomedicine, Belfast, United Kingdom, 3 – 5 November, 2014 

Pedro Costa, Hooshiar Zolfagharnasab, João P. Monteiro, Jaime S. Cardoso and Hélder P. Oliveira
3D Reconstruction of body parts using RGB-D sensors: Challenges from a biomedical perspective 
In Proceedings of the 5th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 21 - 22 October, 2014

Hélder P. Oliveira, Marco D. Silva, André Magalhães, Maria J. Cardoso and Jaime S. Cardoso
Is Kinect Depth Data Accurate for the Aesthetic Evaluation after Breast Cancer Surgeries? [pdf]
In Proceedings of the 6th Iberian Conference on Pattern Recognition and Image Analysis, pp. 261 - 268, Funchal, Portugal, 5 - 7 June, 2013

3D Aesthetic Evaluation After Breast Cancer Surgery Using Kinect
Andre Magalhaes, Helder P. Oliveira, Antonio Moura, Jaime S. Cardoso, Maria J. Cardoso
International Meeting of Oncoplastic and Reconstructive Breast Surgery (ORBS) 2013

Therapeutic reduction mammaplasty: does complications affect aesthetic outcome?
Andre Magalhaes, Helder P. Oliveira, Jose Braga, Susy Costa, Fernando Osorio, Jaime S. Cardoso, Jose Fougo
International Meeting of Oncoplastic and Reconstructive Breast Surgery (ORBS) 2013

Users' perspective on Breast Cancer Conservative Treatment.cosmetic result (BCCT.core) software
Andre Magalhaes, Helder P. Oliveira, Antonio Moura, Jaime S. Cardoso, Maria J. Cardoso
International Meeting of Oncoplastic and Reconstructive Breast Surgery (ORBS) 2013

Maria João Cardoso, IN12 INOPERABLE LOCALLY ADVANCED BREAST CANCER: SURGERY - CHALLENGES AND OPPORTUNITIES, ABC2 - Advanced Breast Cancer Second International Consensus Conference, Lisboa, Portugal, Novembro, 2013

Hélder P. Oliveira, Jaime S. Cardoso, André Magalhães and Maria J. Cardoso
Simultaneous Detection of Prominent Points on Breast Cancer Conservative Treatment Images [pdf] [poster]
In Proceedings of the 19th IEEE International Conference on Image Processing, pp. 2841-2844, Orlando, Florida, USA, 30 September - 3 October, 2012

Artificial Intelligence, Evolutionary Computation and Metaheuristics (AIECM) --In the footsteps of Alan Turing (Turing 2012),
Chapter in Multi-Criteria Models for Learning Ordinal Data: a literature review (Xin-She Yang, ed.), 2012

Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches
Jaime S. Cardoso, Ricardo Sousa, Ines Domingues
Proceedings of The Eleventh International Conference on Machine Learning and Applications (ICMLA), 2012

Ensemble of Decision Trees with Global Constraints for Ordinal Classification
Ricardo Sousa, Jaime S. Cardoso
International Conference on Intelligent Systems Design and Applications (ISDA), 2011

Max-Coupled Learning: Application To Breast Cancer
Jaime S. Cardoso, Ines Domingues
Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA), 2011

Hélder P. Oliveira, Paolo Patete, Guido Baroni and Jaime S. Cardoso
Development of a BCCT Quantitative 3D Evaluation System Through Low-Cost Solutions [pdf] 
In Proceedings of the 2nd International Conference on 3D Body Scanning Technologies, pp. 16-27, Lugano, Switzerland, 25 - 26 October, 2011

Acknowledgments

3d BCT is a work financed by the ERDF – European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT within project PTDC/SAU-ENB/114951/2009.