@inproceedings{bouhali2024abstract3,title={Identification of Fiducial Points on 3D Torso Images Using Contrastive Learning},author={Bouhali, Sara and Reece, Greg and Markey, Mia and Merchant, Fatima},booktitle={Biomedical Engineering Society Annual Meeting},year={2024},google_scholar_id={Tyk-4Ss8FVUC},organization={Biomedical Engineering Society}}
BMES
3D Rendering and Quantification of Lymphatics Activity Using RGB-D And Near-Infrared Fluorescence Lymphatic Imaging
Sara Bouhali, Fatima Merchant, Ron J Karni, and 3 more authors
In Biomedical Engineering Society Annual Meeting , 2024
@inproceedings{bouhali2024abstract2,title={3D Rendering and Quantification of Lymphatics Activity Using RGB-D And Near-Infrared Fluorescence Lymphatic Imaging},author={Bouhali, Sara and Merchant, Fatima and Karni, Ron J and Gutierrez, Carolina and DeSnyder, Sarah M and Rasmussen, John C},booktitle={Biomedical Engineering Society Annual Meeting},year={2024},google_scholar_id={Y0pCki6q_DkC},organization={Biomedical Engineering Society}}
ICIBM
3D Torso Image Retrieval of Prior Patient Cases Using Unsupervised Learning for Informed Decision-Making about Breast Reconstruction Surgery
Sara Bouhali, Nassima Noufail, Greg Reece, and 2 more authors
In International Conference on Intelligent Biology and Medicine , 2024
@inproceedings{bouhali2024abstract1,title={3D Torso Image Retrieval of Prior Patient Cases Using Unsupervised Learning for Informed Decision-Making about Breast Reconstruction Surgery},author={Bouhali, Sara and Noufail, Nassima and Reece, Greg and Markey, Mia and Merchant, Fatima},booktitle={International Conference on Intelligent Biology and Medicine},year={2024},google_scholar_id={IjCSPb-OGe4C},organization={International Association for Intelligent Biology and Medicine}}
ICIBM
3D torso image retrieval of prior patient cases for enhancing breast reconstruction clinical consultation
Nassima Noufail, Sara Bouhali, Greg Reece, and 2 more authors
In International Conference on Intelligent Biology and Medicine , 2024
@inproceedings{Noufail2024abstract,title={3D torso image retrieval of prior patient cases for enhancing breast reconstruction clinical consultation},author={Noufail, Nassima and Bouhali, Sara and Reece, Greg and Markey, Mia and Merchant, Fatima},booktitle={International Conference on Intelligent Biology and Medicine},year={2024},google_scholar_id={zYLM7Y9cAGgC},organization={International Association for Intelligent Biology and Medicine}}
SABCS
Abstract PO5-11-03: Associations among BMI and patient-reported body image dissatisfaction after breast reconstruction
Sara Bouhali, Nassima Noufail, Tzuan Chen, and 5 more authors
@article{bouhali2024abstract,title={Abstract PO5-11-03: Associations among BMI and patient-reported body image dissatisfaction after breast reconstruction},author={Bouhali, Sara and Noufail, Nassima and Chen, Tzuan and Bordes, Mary Catherine and Reece, Greg and Markey, Mia and Merchant, Fatima and Chopra, Deepti},journal={Cancer Research},volume={84},number={9\_Supplement},pages={PO5--11},year={2024},google_scholar_id={2osOgNQ5qMEC},publisher={AACR}}
SPIE
3D rendering and analysis of dermal backflow as an early indicator of cancer-acquired lymphedema using RGB-D and near-infrared fluorescence lymphatic imaging
Sara Bouhali, Fatima Merchant, Ron J Karni, and 2 more authors
In Medical Imaging 2024: Clinical and Biomedical Imaging , 2024
@inproceedings{bouhali20243d,title={3D rendering and analysis of dermal backflow as an early indicator of cancer-acquired lymphedema using RGB-D and near-infrared fluorescence lymphatic imaging},author={Bouhali, Sara and Merchant, Fatima and Karni, Ron J and Gutierrez, Carolina and Rasmussen, John C},booktitle={Medical Imaging 2024: Clinical and Biomedical Imaging},volume={12930},pages={32--43},year={2024},organization={SPIE},google_scholar_id={9yKSN-GCB0IC},}
SPIE
3D quantification of lymphatic (dys) function in head and neck cancer survivorship
John C Rasmussen, Sara Bouhali, Fred C Velasquez, and 4 more authors
In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII , 2024
@inproceedings{rasmussen20243d,title={3D quantification of lymphatic (dys) function in head and neck cancer survivorship},author={Rasmussen, John C and Bouhali, Sara and Velasquez, Fred C and Sevick-Muraca, Eva M and Gutierrez, Carolina and Karni, Ron J and Merchant, Fatima},booktitle={Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII},volume={12831},pages={128310C},year={2024},google_scholar_id={d1gkVwhDpl0C},organization={SPIE}}
2023
NAVBO
Abstract: Lymphatic (dys)function in patients with chronic conditions as evaluated from extent of dermal backflow
John Rasmussen, Zhu Banghe, Melissa Aldrich, and 6 more authors
Functional lymphatics are essential for removal and transport of cellular waste and excess fluid from regional tissues and are dependent upon contractile lymphangion activity for proximal drainage into the venous blood stream. Lymphatic insufficiency in patients with chronic diseases (such as cancer acquired and primary lymphedema, autoimmune disease, and peripheral venous diseases) is manifested by progressive dermal backflow, or reverse, distal flow of lymph into the dermal capillaries caused presumably by failing lymphangions. Using near-infrared fluorescence (NIRF) lymphatic imaging with ICG as a contrast agent, we recently showed that dermal backflow provides an “early warning” indicator of lymphatic dysfunction, averaging 8 months prior to onset of clinical symptoms of breast cancer lymphedema (PMID: 35816269). We also found dermal backflow progressed or persisted over months and years in head and neck cancer survivors (PMID: 28263428), but could be resolved or reduced early after cancer treatment with 2 weeks of physiotherapy (PMID: 30694720). In this work, we develop automated determination of dermal backflow areas from NIRF lymphatic imaging in order to provide accurate, longitudinal assessment of progressing/improving lymphatic dysfunction so that effective management strategies can be clinically devised to treat lymphatic dysfunction. Specifically, we combine computer vision hardware and software with NIRF imaging to automate quantification of tissues areas demarked by dermal backflow. Non-clinical testing demonstrates ±3% errors in dermal backflow area determination, with clinical testing on head and neck cancer survivors underway to assess efficacy of physiotherapies provided early after cancer treatment.
@inproceedings{rasmussen2023abstract,title={Abstract: Lymphatic (dys)function in patients with chronic conditions as evaluated from extent of dermal backflow},author={Rasmussen, John and Banghe, Zhu and Aldrich, Melissa and Sevick, Eva and Shaitelman, Simona and Gutierrez, Carolina and Karni, Ron and Bouhali, Sara and Merchant, Fatima},booktitle={Lymphatic Forum},google_scholar_id={qjMakFHDy7sC},year={2023}}