Automatic modic changes classification in spinal MRI

This paper describes a novel automatic system for Modic changes classification of vertebral endplates. Modic changes are classes of vertebral degenerations visible as intensity variations in magnetic resonance images (MRI). The system operates on T1 and T2 MRI. We introduce three main novelties: 1....

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Main Authors: Jamaludin, A, Kadir, T, Zisserman, A
פורמט: Conference item
יצא לאור: Springer 2016
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author Jamaludin, A
Kadir, T
Zisserman, A
author_facet Jamaludin, A
Kadir, T
Zisserman, A
author_sort Jamaludin, A
collection OXFORD
description This paper describes a novel automatic system for Modic changes classification of vertebral endplates. Modic changes are classes of vertebral degenerations visible as intensity variations in magnetic resonance images (MRI). The system operates on T1 and T2 MRI. We introduce three main novelties: 1. a vertebrae alignment scheme via precise bounding boxes obtained through corner localisation, 2. vertebral endplate classification in three dimensions, and 3. Modic changes classification. The system was trained and validated using a large dataset of 785 patients, containing MRIs sourced from a wide range of acquisition protocols. The proposed system achieved 87.8 % classification accuracy on our dataset.
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spelling oxford-uuid:ade39f04-725e-47f9-8d9d-a9dc6e346cdb2022-03-27T03:38:55ZAutomatic modic changes classification in spinal MRIConference itemhttp://purl.org/coar/resource_type/c_5794uuid:ade39f04-725e-47f9-8d9d-a9dc6e346cdbSymplectic Elements at OxfordSpringer2016Jamaludin, AKadir, TZisserman, AThis paper describes a novel automatic system for Modic changes classification of vertebral endplates. Modic changes are classes of vertebral degenerations visible as intensity variations in magnetic resonance images (MRI). The system operates on T1 and T2 MRI. We introduce three main novelties: 1. a vertebrae alignment scheme via precise bounding boxes obtained through corner localisation, 2. vertebral endplate classification in three dimensions, and 3. Modic changes classification. The system was trained and validated using a large dataset of 785 patients, containing MRIs sourced from a wide range of acquisition protocols. The proposed system achieved 87.8 % classification accuracy on our dataset.
spellingShingle Jamaludin, A
Kadir, T
Zisserman, A
Automatic modic changes classification in spinal MRI
title Automatic modic changes classification in spinal MRI
title_full Automatic modic changes classification in spinal MRI
title_fullStr Automatic modic changes classification in spinal MRI
title_full_unstemmed Automatic modic changes classification in spinal MRI
title_short Automatic modic changes classification in spinal MRI
title_sort automatic modic changes classification in spinal mri
work_keys_str_mv AT jamaludina automaticmodicchangesclassificationinspinalmri
AT kadirt automaticmodicchangesclassificationinspinalmri
AT zissermana automaticmodicchangesclassificationinspinalmri