@article{46cc2afd34764d75ad776a7072ac0c17,
title = "Fully automated delineation of the optic radiation for surgical planning using clinically feasible sequences",
abstract = "Quadrantanopia caused by inadvertent severing of Meyer's Loop of the optic radiation is a well-recognised complication of temporal lobectomy for conditions such as epilepsy. Dissection studies indicate that the anterior extent of Meyer's Loop varies considerably between individuals. Quantifying this for individual patients is thus an important step to improve the safety profile of temporal lobectomies. Previous attempts to delineate Meyer's Loop using diffusion MRI tractography have had difficulty estimating its full anterior extent, required manual ROI placement, and/or relied on advanced diffusion sequences that cannot be acquired routinely in most clinics. Here we present CONSULT: a pipeline that can delineate the optic radiation from raw DICOM data in a completely automated way via a combination of robust pre-processing, segmentation, and alignment stages, plus simple improvements that bolster the efficiency and reliability of standard tractography. We tested CONSULT on 696 scans of predominantly healthy participants (539 unique brains), including both advanced acquisitions and simpler acquisitions that could be acquired in clinically acceptable timeframes. Delineations completed without error in 99.4% of the scans. The distance between Meyer's Loop and the temporal pole closely matched both averages and ranges reported in dissection studies for all tested sequences. Median scan-rescan error of this distance was 1 mm. When tested on two participants with considerable pathology, delineations were successful and realistic. Through this, we demonstrate not only how to identify Meyer's Loop with clinically feasible sequences, but also that this can be achieved without fundamental changes to tractography algorithms or complex post-processing methods.",
keywords = "diffusion magnetic resonance imaging, epilepsy, Meyer's Loop, optic radiation, temporal lobectomy, tractography",
author = "Reid, {Lee B.} and Eloy Mart{\'i}nez-Heras and Manj{\'o}n, {Jose V.} and Jeffree, {Rosalind L.} and Hamish Alexander and Julie Trinder and Elisabeth Solana and Sara Llufriu and Stephen Rose and Marita Prior and Jurgen Fripp",
note = "Funding Information: This research was partially supported by an Advance Queensland Research Fellowship (R‐09964‐01), as well as the Spanish DPI2017‐87743‐R grant from the Ministerio de Economia, Industria y Competitividad of Spain. This work was partially funded by a {\textquoteleft}Proyecto de Investigaci{\'o}n en Salud{\textquoteright} (FIS 2015—PI15/00061, PI15/00587; FIS 2018—PI18/01030), integrated in the Plan Estatal de Investigaci{\'o}n Cient{\'i}fica y T{\'e}cnica de Innovaci{\'o}n I + D + I and co‐funded by the Instituto de Salud Carlos III, subdirecci{\'o}n General de Evaluaci{\'o}n and the Fondo Europeo de Desarrollo Regional (FEDER, {\textquoteleft}Otra manera de hacer Europa{\textquoteright}), by the Red Espa{\~n}ola de Esclerosis M{\'u}ltiple (REEM ‐ RD16/0015/0002, RD16/0015/0003, RD12/0032/0002, RD12/0060/01‐02), and by the Ayudas Merck de Investigaci{\'o}n 2017 from the Fundaci{\'o}n Merck Salud and the Proyecto Societat Catalana Neurologia 2017. This work was partially developed at the building Centro Esther Koplowitz, Barcelona, CERCA Programme/Generalitat de Catalunya. The authors gratefully acknowledge the support of NVIDIA Corporation with their donation of the TITAN X GPU used in this research, as well as Irene Pulido, Mag{\'i} Andorr{\`a} Ingl{\'e}s, and other staff involved with subject enrolment and acquisition at HIRF and Hospital Clinic. Data were provided in part by the Human Connectome Project, WU‐Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. Funding Information: This research was partially supported by an Advance Queensland Research Fellowship (R-09964-01), as well as the Spanish DPI2017-87743-R grant from the Ministerio de Economia, Industria y Competitividad of Spain. This work was partially funded by a {\textquoteleft}Proyecto de Investigaci{\'o}n en Salud{\textquoteright} (FIS 2015—PI15/00061, PI15/00587; FIS 2018—PI18/01030), integrated in the Plan Estatal de Investigaci{\'o}n Cient{\'i}fica y T{\'e}cnica de Innovaci{\'o}n I + D + I and co-funded by the Instituto de Salud Carlos III, subdirecci{\'o}n General de Evaluaci{\'o}n and the Fondo Europeo de Desarrollo Regional (FEDER, {\textquoteleft}Otra manera de hacer Europa{\textquoteright}), by the Red Espa{\~n}ola de Esclerosis M{\'u}ltiple (REEM - RD16/0015/0002, RD16/0015/0003, RD12/0032/0002, RD12/0060/01-02), and by the Ayudas Merck de Investigaci{\'o}n 2017 from the Fundaci{\'o}n Merck Salud and the Proyecto Societat Catalana Neurologia 2017. This work was partially developed at the building Centro Esther Koplowitz, Barcelona, CERCA Programme/Generalitat de Catalunya. The authors gratefully acknowledge the support of NVIDIA Corporation with their donation of the TITAN X GPU used in this research, as well as Irene Pulido, Mag{\'i} Andorr{\`a} Ingl{\'e}s, and other staff involved with subject enrolment and acquisition at HIRF and Hospital Clinic. Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. Publisher Copyright: {\textcopyright} 2021 Commonwealth of Australia. Human Brain Mapping published by Wiley Periodicals LLC.",
year = "2021",
month = dec,
day = "15",
doi = "10.1002/hbm.25658",
language = "English",
volume = "42",
pages = "5911--5926",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "John Wiley & Sons",
number = "18",
}