Visualization of White Matter Fiber Tracts of Brain Tissue Sections with Wide-field Imaging Mueller Polarimetry.

Schucht, Philippe; Lee, Hee Ryung; Mezouar, Mohammed Hachem; Hewer, Ekkehard; Raabe, Andreas; Murek, Michael; Zubak, Irena; Goldberg, Johannes; Kovari, Eniko; Pierangelo, Angelo; Novikova, Tatiana (2020). Visualization of White Matter Fiber Tracts of Brain Tissue Sections with Wide-field Imaging Mueller Polarimetry. IEEE transactions on medical imaging, 39(12), pp. 4376-4382. Institute of Electrical and Electronics Engineers IEEE 10.1109/TMI.2020.3018439

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Identification of white matter fiber tracts of the brain is crucial for delineating the tumor border during neurosurgery. A custom-built Mueller polarimeter was used in reflection configuration for the wide-field imaging of thick sections of fixed human brain and fresh calf brain. The maps of the azimuth of the fast optical axis of linear birefringent medium reconstructed from the experimental Mueller matrix images of the specimen by applying a non-linear data compression algorithm showed a strong correlation with the silver-stained sample histology image, which is the gold standard for ex-vivo brain fiber tract visualization. The polarimetric maps of fresh calf brain tissue demonstrated the same trends in the depolarization, the scalar retardance and the azimuth of the fast optical axis as seen in fixed human brain tissue. Thus, label-free imaging Mueller polarimetry shows promise as an efficient intra-operative modality for the visualization of healthy brain white matter fiber tracts, which could improve the accuracy of tumor border detection and, ultimately, patient outcomes.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurosurgery
04 Faculty of Medicine > Service Sector > Institute of Pathology

UniBE Contributor:

Schucht, Philippe; Hewer, Ekkehard; Raabe, Andreas; Murek, Michael; Zubak, Irena and Goldberg, Johannes

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

0278-0062

Publisher:

Institute of Electrical and Electronics Engineers IEEE

Language:

English

Submitter:

Ekkehard Hewer

Date Deposited:

02 Sep 2020 17:35

Last Modified:

02 Dec 2020 01:32

Publisher DOI:

10.1109/TMI.2020.3018439

PubMed ID:

32822294

BORIS DOI:

10.7892/boris.146248

URI:

https://boris.unibe.ch/id/eprint/146248

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