Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning
Breast cancer is the most common cancer in women worldwide. Screening programs and imaging improvements have increased the detection of clinically occult non-palpable lesions requiring preoperative localization. Wire guided localization (WGL) is the current standard of care for the excision of non-p...
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9956838/ |
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author | Felicia Alfano Lucilio Cordero-Grande Juan E. Ortuno Karla Ferreres Garcia Monica Garcia-Sevilla Oscar Bueno Zamora Mercedes Herrero Conde Santiago Lizarraga Andres Santos Javier Pascau Maria J. Ledesma-Carbayo |
author_facet | Felicia Alfano Lucilio Cordero-Grande Juan E. Ortuno Karla Ferreres Garcia Monica Garcia-Sevilla Oscar Bueno Zamora Mercedes Herrero Conde Santiago Lizarraga Andres Santos Javier Pascau Maria J. Ledesma-Carbayo |
author_sort | Felicia Alfano |
collection | DOAJ |
description | Breast cancer is the most common cancer in women worldwide. Screening programs and imaging improvements have increased the detection of clinically occult non-palpable lesions requiring preoperative localization. Wire guided localization (WGL) is the current standard of care for the excision of non-palpable carcinomas during breast conserving surgery. Due to the current limitations of intraoperative tumor localization approaches, the integration of multimodal imaging information may be especially relevant in surgical planning. This research proposes a novel method for performing preoperative image-to-surgical surface data alignment to determine the position of the tumor at the time of surgery and aid preoperative planning. First, the volume of the breast in the surgical position is reconstructed and a set of surface correspondences is defined. Then, the preoperative (prone) and intraoperative (supine) volumes are co-registered using landmark driven non-rigid registration methods. We compared the performances of diffeomorphic and Bspline based registration methods. Finally, our method was validated using clinical data from 67 patients considering as target registration error (TRE) the distance between the estimated tumor position and the reference surgical position. The proposed method achieved a TRE of 16.21 ± 8.18 mm and it could potentially assist the surgery planning and guidance of breast cancer treatment in the clinical practice. |
first_indexed | 2024-04-12T05:16:25Z |
format | Article |
id | doaj.art-dab02da63518443bba681efb6ffb4ce1 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-12T05:16:25Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-dab02da63518443bba681efb6ffb4ce12022-12-22T03:46:37ZengIEEEIEEE Access2169-35362022-01-011012290112291110.1109/ACCESS.2022.32236589956838Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical PlanningFelicia Alfano0https://orcid.org/0000-0002-7778-3838Lucilio Cordero-Grande1https://orcid.org/0000-0003-1477-304XJuan E. Ortuno2https://orcid.org/0000-0001-6636-602XKarla Ferreres Garcia3Monica Garcia-Sevilla4https://orcid.org/0000-0002-7330-9194Oscar Bueno Zamora5Mercedes Herrero Conde6Santiago Lizarraga7Andres Santos8https://orcid.org/0000-0001-7423-9135Javier Pascau9https://orcid.org/0000-0003-1484-731XMaria J. Ledesma-Carbayo10https://orcid.org/0000-0001-6846-3923Biomedical Image Technologies, Universidad Politécnica de Madrid, Madrid, SpainBiomedical Image Technologies, Universidad Politécnica de Madrid, Madrid, SpainBiomedical Image Technologies, Universidad Politécnica de Madrid, Madrid, SpainInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, SpainDepartamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Leganés, Madrid, SpainInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, SpainUnidad de Mama, Hospital de Madrid Sanchinarro, Madrid, SpainInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, SpainBiomedical Image Technologies, Universidad Politécnica de Madrid, Madrid, SpainDepartamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Leganés, Madrid, SpainBiomedical Image Technologies, Universidad Politécnica de Madrid, Madrid, SpainBreast cancer is the most common cancer in women worldwide. Screening programs and imaging improvements have increased the detection of clinically occult non-palpable lesions requiring preoperative localization. Wire guided localization (WGL) is the current standard of care for the excision of non-palpable carcinomas during breast conserving surgery. Due to the current limitations of intraoperative tumor localization approaches, the integration of multimodal imaging information may be especially relevant in surgical planning. This research proposes a novel method for performing preoperative image-to-surgical surface data alignment to determine the position of the tumor at the time of surgery and aid preoperative planning. First, the volume of the breast in the surgical position is reconstructed and a set of surface correspondences is defined. Then, the preoperative (prone) and intraoperative (supine) volumes are co-registered using landmark driven non-rigid registration methods. We compared the performances of diffeomorphic and Bspline based registration methods. Finally, our method was validated using clinical data from 67 patients considering as target registration error (TRE) the distance between the estimated tumor position and the reference surgical position. The proposed method achieved a TRE of 16.21 ± 8.18 mm and it could potentially assist the surgery planning and guidance of breast cancer treatment in the clinical practice.https://ieeexplore.ieee.org/document/9956838/Breast cancermultimodal imagingnon-rigid registrationsurgical planning |
spellingShingle | Felicia Alfano Lucilio Cordero-Grande Juan E. Ortuno Karla Ferreres Garcia Monica Garcia-Sevilla Oscar Bueno Zamora Mercedes Herrero Conde Santiago Lizarraga Andres Santos Javier Pascau Maria J. Ledesma-Carbayo Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning IEEE Access Breast cancer multimodal imaging non-rigid registration surgical planning |
title | Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning |
title_full | Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning |
title_fullStr | Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning |
title_full_unstemmed | Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning |
title_short | Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning |
title_sort | breast tumor localization by prone to supine landmark driven registration for surgical planning |
topic | Breast cancer multimodal imaging non-rigid registration surgical planning |
url | https://ieeexplore.ieee.org/document/9956838/ |
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