Evidence map›Paper›PMID 35467322›Full record

ArticleInternational journal of computer assisted radiology and surgery2022

Fibre tract segmentation for intraoperative diffusion MRI in neurosurgical patients using tract-specific orientation atlas and tumour deformation modelling.

Fiona Young, Kristian Aquilina, Chris A Clark, Jonathan D Clayden

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Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Fiona YoungInstitute of Child Health, University College London, Guilford Street, London, United Kingdom. fiona.young.15@ucl.ac.uk.ORCID http://orcid.org/0000-0002-6803-0690
Kristian AquilinaDepartment of Neurosurgery, Great Ormond Street Hospital for Children, Great Ormond Street, London, United Kingdom.
Chris A ClarkInstitute of Child Health, University College London, Guilford Street, London, United Kingdom.
Jonathan D ClaydenInstitute of Child Health, University College London, Guilford Street, London, United Kingdom.

Funding

Engineering and Physical Sciences Research Council EP/S021930/1
6 · The paper itself

Abstract

purposeIntraoperative diffusion MRI could provide a means of visualising brain fibre tracts near a neurosurgical target after preoperative images have been invalidated by brain shift. We propose an atlas-based intraoperative tract segmentation method, as the standard preoperative method, streamline tractography, is unsuitable for intraoperative implementation.

methodsA tract-specific voxel-wise fibre orientation atlas is constructed from healthy training data. After registration with a target image, a radial tumour deformation model is applied to the orientation atlas to account for displacement caused by lesions. The final tract map is obtained from the inner product of the atlas and target image fibre orientation data derived from intraoperative diffusion MRI.

resultsThe simple tumour model takes only seconds to effectively deform the atlas into alignment with the target image. With minimal processing time and operator effort, maps of surgically relevant tracts can be achieved that are visually and qualitatively comparable with results obtained from streamline tractography.

conclusionPreliminary results demonstrate feasibility of intraoperative streamline-free tract segmentation in challenging neurosurgical cases. Demonstrated results in a small number of representative sample subjects are realistic despite the simplicity of the tumour deformation model employed. Following this proof of concept, future studies will focus on achieving robustness in a wide range of tumour types and clinical scenarios, as well as quantitative validation of segmentations.

Indexed as

NeoplasmsWhite MatterBrainDiffusion Magnetic Resonance ImagingHumansImage Processing, Computer-AssistedDiffusionIntraoperativeMRIWhite matter segmentation

Identifiers

PMID35467322
PMCPMC9463357

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.