Characterization of Polarimetric Properties in Various Brain Tumor Types Using Wide-Field Imaging Mueller Polarimetry
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| Název: | Characterization of Polarimetric Properties in Various Brain Tumor Types Using Wide-Field Imaging Mueller Polarimetry |
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| Autoři: | Éléa Gros, Omar Rodríguez-Núñez, Leonard Felger, Stefano Moriconi, Richard McKinley, Angelo Pierangelo, Tatiana Novikova, Erik Vassella, Philippe Schucht, Ekkehard Hewer, Theoni Maragkou |
| Zdroj: | IEEE transactions on medical imaging, vol. 43, no. 12, pp. 4120-4132 Gros, Romane; Rodríguez-Núñez, Omar; Felger, Leonard; Moriconi, Stefano; McKinley, Richard; Pierangelo, Angelo; Novikova, Tatiana; Vassella, Erik; Schucht, Philippe; Hewer, Ekkehard; Maragkou, Theoni (2024). Characterization of Polarimetric Properties in Various Brain Tumor Types Using Wide-Field Imaging Mueller Polarimetry. IEEE Transactions on Medical Imaging, p. 1. 10.1109/TMI.2024.3413288 <http://dx.doi.org/10.1109/TMI.2024.3413288> |
| Publication Status: | Preprint |
| Informace o vydavateli: | Institute of Electrical and Electronics Engineers (IEEE), 2024. |
| Rok vydání: | 2024 |
| Témata: | FOS: Physical sciences, Brain Tumors, 610 Medicine & health, Optical imaging, Imaging, Image processing, Polarimetry, Image Processing, Computer-Assisted, Humans, Tissues and Organs (q-bio.TO), Neuro-Oncology, Neuropathology, Tumors, Brain Neoplasms, Brain Neoplasms/diagnostic imaging, Algorithms, Glioma/diagnostic imaging, Glioma/pathology, Brain/diagnostic imaging, Image Processing, Computer-Assisted/methods, Mueller Polarimetry, Brain, Quantitative Biology - Tissues and Organs, Glioma, Physics - Medical Physics, Optical polarization, FOS: Biological sciences, 570 Life sciences, biology, Medical Physics (physics.med-ph), Heterojunction bipolar transistors |
| Popis: | Neuro-oncological surgery is the primary brain cancer treatment, yet it faces challenges with gliomas due to their invasiveness and the need to preserve neurological function. Hence, radical resection is often unfeasible, highlighting the importance of precise tumor margin delineation to prevent neurological deficits and improve prognosis. Imaging Mueller polarimetry, an effective modality in various organ tissues, seems a promising approach for tumor delineation in neurosurgery. To further assess its use, we characterized the polarimetric properties by analysing 45 polarimetric measurements of 27 fresh brain tumor samples, including different tumor types with a strong focus on gliomas. Our study integrates a wide-field imaging Mueller polarimetric system and a novel neuropathology protocol, correlating polarimetric and histological data for accurate tissue identification. An image processing pipeline facilitated the alignment and overlay of polarimetric images and histological masks. Variations in depolarization values were observed for grey and white matter of brain tumor tissue, while differences in linear retardance were seen only within white matter of brain tumor tissue. Notably, we identified pronounced optical axis azimuth randomization within tumor regions. This study lays the foundation for machine learning-based brain tumor segmentation algorithms using polarimetric data, facilitating intraoperative diagnosis and decision making. 12 pages, 9 figures. This work has been submitted to the IEEE for possible publication |
| Druh dokumentu: | Article Other literature type |
| Popis souboru: | application/pdf |
| ISSN: | 1558-254X 0278-0062 |
| DOI: | 10.1109/tmi.2024.3413288 |
| DOI: | 10.48350/199491 |
| DOI: | 10.48550/arxiv.2403.09561 |
| Přístupová URL adresa: | https://pubmed.ncbi.nlm.nih.gov/38865222 http://arxiv.org/abs/2403.09561 https://serval.unil.ch/notice/serval:BIB_1ADF9D0693D1 https://serval.unil.ch/resource/serval:BIB_1ADF9D0693D1.P001/REF.pdf http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_1ADF9D0693D17 https://boris.unibe.ch/199491/ |
| Rights: | CC BY arXiv Non-Exclusive Distribution |
| Přístupové číslo: | edsair.doi.dedup.....fa9b2ae9ace34b218e352607fd9ad94d |
| Databáze: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Neuro-oncological surgery is the primary brain cancer treatment, yet it faces challenges with gliomas due to their invasiveness and the need to preserve neurological function. Hence, radical resection is often unfeasible, highlighting the importance of precise tumor margin delineation to prevent neurological deficits and improve prognosis. Imaging Mueller polarimetry, an effective modality in various organ tissues, seems a promising approach for tumor delineation in neurosurgery. To further assess its use, we characterized the polarimetric properties by analysing 45 polarimetric measurements of 27 fresh brain tumor samples, including different tumor types with a strong focus on gliomas. Our study integrates a wide-field imaging Mueller polarimetric system and a novel neuropathology protocol, correlating polarimetric and histological data for accurate tissue identification. An image processing pipeline facilitated the alignment and overlay of polarimetric images and histological masks. Variations in depolarization values were observed for grey and white matter of brain tumor tissue, while differences in linear retardance were seen only within white matter of brain tumor tissue. Notably, we identified pronounced optical axis azimuth randomization within tumor regions. This study lays the foundation for machine learning-based brain tumor segmentation algorithms using polarimetric data, facilitating intraoperative diagnosis and decision making.<br />12 pages, 9 figures. This work has been submitted to the IEEE for possible publication |
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| ISSN: | 1558254X 02780062 |
| DOI: | 10.1109/tmi.2024.3413288 |