Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/119305
Título: Hyperspectral Imaging for In-Vivo/Ex-Vivo Tissue Analysis of Human Brain Cancer
Autores/as: León Martín, Sonia Raquel 
Fabelo Gómez, Himar Antonio 
Gelado, Sofia H.
Ortega Sarmiento, Samuel 
Quintana Quintana, Laura 
Zbigniew Szolna,Adam 
Piñeiro, Juan F.
Balea Fernandez, Francisco Javier 
Morera, Jesus
Marrero Callicó, Gustavo Iván 
Coordinadores/as, Directores/as o Editores/as: Linte, Cristian A.
Siewerdsen, Jeffrey H.
Clasificación UNESCO: 32 Ciencias médicas
320713 Oncología
3314 Tecnología médica
Palabras clave: Brain tumor
Cancer surgery
Hyperspectral imaging
Intraoperative imaging
Hemoglobin ratio
Fecha de publicación: 2022
Editor/a: SPIE-int Soc Optical Engineering
Publicación seriada: Proceedings of SPIE - The International Society for Optical Engineering 
Conferencia: Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling 
Resumen: Accurate identification of tumor boundaries during brain cancer surgery determines the quality of life of the patient. Different intraoperative guidance tools are currently employed during the resection tumor but having several limitations. Hyperspectral imaging (HSI) is arising as a label-free and non-ionizing technique that could assist neurosurgeons during surgical procedures. In this paper, an analysis between in-vivo and ex-vivo human brain tumor samples using HSI has been performed to evaluate the correlation between both types of samples. Spectral ratios of the oxygenated and deoxygenated hemoglobin were employed to distinguish between normal tissue, tumor tissue and blood vessels. A database composed by seven in-vivo and fourteen ex-vivo hyperspectral images obtained from seven different patients diagnosed with glioblastoma Grade IV, metastatic secondary breast cancer, meningioma Grade I and II, and astrocytoma (glioma) Grade II. 44,964 pixels labeled pixels were employed in this work. The proposed method achieved discrimination between different tissue types using the proposed spectral ratio. Comparison between in-vivo and ex-vivo samples indicated that ex-vivo samples generate higher hemoglobin ratios. Moreover, vascular enhanced maps were generated using the spectral ratio, targeting real-time intraoperative surgical assistance.
URI: http://hdl.handle.net/10553/119305
ISBN: 9781510649439
ISSN: 0277-786X
DOI: 10.1117/12.2611420
Fuente: Proceedings of SPIE - The International Society for Optical Engineering [ISSN 0277-786X], v. 12034, 1203429, (Abril 2022)
Colección:Actas de congresos
Unknown (1,84 MB)
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.