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Journal article

ISSLS Prize in Bioengineering Science 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist.

Abstract:

Study design

Investigation of the automation of radiological features from magnetic resonance images (MRIs) of the lumbar spine.

Objective

To automate the process of grading lumbar intervertebral discs and vertebral bodies from MRIs.

Summary of background data

MR imaging is the most common imaging technique used in investigating low back pain (LBP). Various features of degradation, based on MRIs, are commonly recorded and graded, e.g., Modic change...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00586-017-4956-3

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
Brasenose College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author
More from this funder
Grant:
EP/G036861/1
Publisher:
Springer Publisher's website
Journal:
European Spine Journal Journal website
Volume:
26
Issue:
5
Pages:
1374-1383
Publication date:
2017-02-01
Acceptance date:
2017-01-15
DOI:
EISSN:
1432-0932
ISSN:
0940-6719
Source identifiers:
679532
Language:
English
Keywords:
Pubs id:
pubs:679532
UUID:
uuid:9ed3a16f-09ff-491f-91b7-0e805de6ace2
Local pid:
pubs:679532
Deposit date:
2017-05-05

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