3D digital breast cancer models with multimodal fusion algorithms
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 inte...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-02-01
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| Series: | Breast |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0960977619312238 |
| _version_ | 1818455491683024896 |
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| author | Sílvia Bessa Pedro F. Gouveia Pedro H. Carvalho Cátia Rodrigues Nuno L. Silva Fátima Cardoso Jaime S. Cardoso Hélder P. Oliveira Maria João Cardoso |
| author_facet | Sílvia Bessa Pedro F. Gouveia Pedro H. Carvalho Cátia Rodrigues Nuno L. Silva Fátima Cardoso Jaime S. Cardoso Hélder P. Oliveira Maria João Cardoso |
| author_sort | Sílvia Bessa |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T22:11:37Z |
| format | Article |
| id | doaj.art-10b04f581e874a2790c7322d7d54ef80 |
| institution | Directory Open Access Journal |
| issn | 1532-3080 |
| language | English |
| last_indexed | 2024-12-14T22:11:37Z |
| publishDate | 2020-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Breast |
| spelling | doaj.art-10b04f581e874a2790c7322d7d54ef802022-12-21T22:45:43ZengElsevierBreast1532-30802020-02-01492812903D digital breast cancer models with multimodal fusion algorithmsSílvia Bessa0Pedro F. Gouveia1Pedro H. Carvalho2Cátia Rodrigues3Nuno L. Silva4Fátima Cardoso5Jaime S. Cardoso6Hélder P. Oliveira7Maria João Cardoso8INESC TEC, Portugal; University of Porto, Portugal; Corresponding author. INESC TEC, Campus da FEUP, Rua Dr. Roberto Frias, 4200 - 465, Porto, Portugal.Champalimaud Foundation, Portugal; Medical School, Lisbon University, PortugalINESC TEC, PortugalINESC TEC, PortugalChampalimaud Foundation, Portugal; Nova Medical School, PortugalChampalimaud Foundation, PortugalINESC TEC, Portugal; University of Porto, PortugalINESC TEC, Portugal; University of Porto, PortugalINESC TEC, Portugal; Champalimaud Foundation, Portugal; Nova Medical School, PortugalBreast 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.http://www.sciencedirect.com/science/article/pii/S0960977619312238Breast cancer3D breast modelFusionMagnetic resonance imagingSurfaceMultimodal registration |
| spellingShingle | Sílvia Bessa Pedro F. Gouveia Pedro H. Carvalho Cátia Rodrigues Nuno L. Silva Fátima Cardoso Jaime S. Cardoso Hélder P. Oliveira Maria João Cardoso 3D digital breast cancer models with multimodal fusion algorithms Breast Breast cancer 3D breast model Fusion Magnetic resonance imaging Surface Multimodal registration |
| title | 3D digital breast cancer models with multimodal fusion algorithms |
| title_full | 3D digital breast cancer models with multimodal fusion algorithms |
| title_fullStr | 3D digital breast cancer models with multimodal fusion algorithms |
| title_full_unstemmed | 3D digital breast cancer models with multimodal fusion algorithms |
| title_short | 3D digital breast cancer models with multimodal fusion algorithms |
| title_sort | 3d digital breast cancer models with multimodal fusion algorithms |
| topic | Breast cancer 3D breast model Fusion Magnetic resonance imaging Surface Multimodal registration |
| url | http://www.sciencedirect.com/science/article/pii/S0960977619312238 |
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