Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox

J. Valošek, J. Cohen-Adad

. 2024 ; 23 (3) : 307-315. [pub] 20240312

Language English Country Japan

Document type Journal Article, Review

The spinal cord plays a pivotal role in the central nervous system, providing communication between the brain and the body and containing critical motor and sensory networks. Recent advancements in spinal cord MRI data acquisition and image analysis have shown a potential to improve the diagnostics, prognosis, and management of a variety of pathological conditions. In this review, we first discuss the significance of standardized spinal cord MRI acquisition protocol in multi-center and multi-manufacturer studies. Then, we cover open-access spinal cord MRI datasets, which are important for reproducible science and validation of new methods. Finally, we elaborate on the recent advances in spinal cord MRI data analysis techniques implemented in the open-source software package Spinal Cord Toolbox (SCT).

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24019940
003      
CZ-PrNML
005      
20241024110853.0
007      
ta
008      
241015s2024 ja f 000 0|eng||
009      
AR
024    7_
$a 10.2463/mrms.rev.2023-0159 $2 doi
035    __
$a (PubMed)38479843
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a ja
100    1_
$a Valošek, Jan $u NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada $u Mila - Quebec AI Institute, Montreal, QC, Canada $u Department of Neurosurgery, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia $u Department of Neurology, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia $1 https://orcid.org/0000000273984990 $7 xx0274853
245    10
$a Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox / $c J. Valošek, J. Cohen-Adad
520    9_
$a The spinal cord plays a pivotal role in the central nervous system, providing communication between the brain and the body and containing critical motor and sensory networks. Recent advancements in spinal cord MRI data acquisition and image analysis have shown a potential to improve the diagnostics, prognosis, and management of a variety of pathological conditions. In this review, we first discuss the significance of standardized spinal cord MRI acquisition protocol in multi-center and multi-manufacturer studies. Then, we cover open-access spinal cord MRI datasets, which are important for reproducible science and validation of new methods. Finally, we elaborate on the recent advances in spinal cord MRI data analysis techniques implemented in the open-source software package Spinal Cord Toolbox (SCT).
650    _2
$a lidé $7 D006801
650    12
$a mícha $x diagnostické zobrazování $7 D013116
650    12
$a magnetická rezonanční tomografie $x metody $7 D008279
650    _2
$a reprodukovatelnost výsledků $7 D015203
650    12
$a software $7 D012984
650    _2
$a počítačové zpracování obrazu $x metody $7 D007091
655    _2
$a časopisecké články $7 D016428
655    _2
$a přehledy $7 D016454
700    1_
$a Cohen-Adad, Julien $u NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada $u Mila - Quebec AI Institute, Montreal, QC, Canada $u Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada $u Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada $1 https://orcid.org/0000000336629532
773    0_
$w MED00215669 $t Magnetic resonance in medical sciences $x 1880-2206 $g Roč. 23, č. 3 (2024), s. 307-315
856    41
$u https://pubmed.ncbi.nlm.nih.gov/38479843 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20241015 $b ABA008
991    __
$a 20241024110847 $b ABA008
999    __
$a ok $b bmc $g 2202268 $s 1231913
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 23 $c 3 $d 307-315 $e 20240312 $i 1880-2206 $m Magnetic resonance in medical sciences $n Magn Reson Med Sci $x MED00215669
LZP    __
$a Pubmed-20241015

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...