2022
DOI: 10.1101/2022.08.11.503605
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Tensor Image Registration Library: Automated Deformable Registration of Stand-Alone Histology Images to Whole-Brain Post-Mortem MRI Data

Abstract: Background: Accurate registration between microscopy and MRI data is necessary for validating imaging biomarkers against neuropathology, and to disentangle complex signal dependencies in microstructural MRI. Existing registration methods often rely on serial histological sampling or significant manual input, providing limited scope to work with a large number of stand-alone histology sections. Here we present a customisable pipeline to automate the registration of stand-alone histology sections to whole-brain … Show more

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Cited by 2 publications
(2 citation statements)
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“…6.2 MRI-Microscopy data co-registration MRI-Microscopy registration was performed using TIRL (v3.1.1), an automated pipeline facilitating the accurate registration of the histology sections to the whole brain MRI via a sequence of linear and non-linear transformations (see 29,36,75,76 for further details). Here each PLI, myelin-and Nissl-stained slide was registered independently to the MRI space.…”
Section: Mri Data and Microscopy Data Acquisitionmentioning
confidence: 99%
“…6.2 MRI-Microscopy data co-registration MRI-Microscopy registration was performed using TIRL (v3.1.1), an automated pipeline facilitating the accurate registration of the histology sections to the whole brain MRI via a sequence of linear and non-linear transformations (see 29,36,75,76 for further details). Here each PLI, myelin-and Nissl-stained slide was registered independently to the MRI space.…”
Section: Mri Data and Microscopy Data Acquisitionmentioning
confidence: 99%
“…We also accessed previously generated registrations for each histology slice to the MGE volume. These registrations were derived using FSL's TIRL 100,101 .…”
Section: Macaque -Histological Datamentioning
confidence: 99%