1. 3D digital breast cancer models with multimodal fusion algorithms
- Author
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Maria João Cardoso, Ca´tia Rodrigues, Nuno L. Silva, Jaime S. Cardoso, Pedro H. Carvalho, Hélder P. Oliveira, Pedro F. Gouveia, Silvia Bessa, Fatima Cardoso, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
- Subjects
Adult ,Models, Anatomic ,Multimodal fusion ,3D breast model ,Breast Neoplasms ,Breast magnetic resonance imaging ,lcsh:RC254-282 ,Multimodal Imaging ,03 medical and health sciences ,Magnetic resonance imaging ,0302 clinical medicine ,Breast cancer ,Imaging, Three-Dimensional ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,Computer Simulation ,030212 general & internal medicine ,Breast ,skin and connective tissue diseases ,Fusion ,Ground truth ,Image fusion ,medicine.diagnostic_test ,business.industry ,General Medicine ,Torso ,Virtual special issue: Artificial Intelligence in Breast Cancer Care ,Edited by Nehmat Houssami, Maria João Cardoso, Giuseppe Pozzi and Brigitte Seroussi ,Middle Aged ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,medicine.disease ,Magnetic Resonance Imaging ,Visualization ,Surface ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Surgery ,Multimodal registration ,Female ,business ,Algorithm ,Algorithms - Abstract
Breast cancer image fusion consists of registering and visualizing different sets of a patient synchronized torso and radiological images into a 3D model. Breast spatial interpretation and visualization by the treating physician can be augmented with a patient-specific digital breast model that integrates radiological images. But the absence of a ground truth for a good correlation between surface and radiological information has impaired the development of potential clinical applications. A new image acquisition protocol was designed to acquire breast Magnetic Resonance Imaging (MRI) and 3D surface scan data with surface markers on the patient’s breasts and torso. A patient-specific digital breast model integrating the real breast torso and the tumor location was created and validated with a MRI/3D surface scan fusion algorithm in 16 breast cancer patients. This protocol was used to quantify breast shape differences between different modalities, and to measure the target registration error of several variants of the MRI/3D scan fusion algorithm. The fusion of single breasts without the biomechanical model of pose transformation had acceptable registration errors and accurate tumor locations. The performance of the fusion algorithm was not affected by breast volume. Further research and virtual clinical interfaces could lead to fast integration of this fusion technology into clinical practice., Highlights • MRI/3D surface scan fusion algorithm to create 3D breast cancer models. • A replicable clinical validation protocol for MRI/3D surface scan fusion algorithms. • Anthropometric study that quantifies breast deformations by area in MRI and 3D scans.
- Published
- 2020