Analysis of diffusion tensor measurements of the human cervical
spinal cord based on semiautomatic segmentation of the white
and gray matter

J 2018

Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter

DOSTÁL, Marek, Miloš KEŘKOVSKÝ, Eva KORIŤÁKOVÁ, Eva NĚMCOVÁ, Jakub STULÍK et. al.

Základní údaje

Originální název

Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter

Autoři

DOSTÁL, Marek (203 Česká republika, domácí), Miloš KEŘKOVSKÝ (203 Česká republika, garant, domácí), Eva KORIŤÁKOVÁ (203 Česká republika, domácí), Eva NĚMCOVÁ (203 Česká republika), Jakub STULÍK (203 Česká republika, domácí), Monika STAŇKOVÁ (203 Česká republika, domácí) a Vladan BERNARD (203 Česká republika, domácí)

Vydání

Journal of Magnetic Resonance Imaging, Hoboken, Wiley, 2018, 1053-1807

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30224 Radiology, nuclear medicine and medical imaging

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.732

Kód RIV

RIV/00216224:14110/18:00106924

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1002/jmri.26166

UT WoS

000448081300006

Klíčová slova anglicky

ITK-SNAP; Spinal Cord Toolbox; diffusion tensor imaging; gray and white matter segmentation; spinal cord segmentation

Štítky

14110216, 14110511, 14119612, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 9. 2. 2019 20:24, Soňa Böhmová

Anotace

V originále

BackgroundPurposeSegmentation of the gray and white matter (GM, WM) of the human spinal cord in MRI images as well as the analysis of spinal cord diffusivity are challenging. When appropriately segmented, diffusion tensor imaging (DTI) of the spinal cord might be beneficial in the diagnosis and prognosis of several diseases. To evaluate the applicability of a semiautomatic algorithm provided by ITK-SNAP in classification mode (CLASS) for segmenting cervical spinal cord GM, WM in MRI images and analyzing DTI parameters. Study TypeSubjectsProspective. Twenty healthy volunteers. SequencesAssessment1.5T, turbo spin echo, fast field echo, single-shot echo planar imaging. Three raters segmented the tissues by manual, CLASS, and atlas-based methods (Spinal Cord Toolbox, SCT) on T-2-weighted and DTI images. Masks were quantified by similarity and distance metrics, then analyzed for repeatability and mutual comparability. Masks created over T-2 images were registered into diffusion space and fractional anisotropy (FA) values were statistically evaluated for dependency on method, rater, or tissue. Statistical TestsResultst-test, analysis of variance (ANOVA), coefficient of variation, Dice coefficient, Hausdorff distance. CLASS segmentation reached better agreement with manual segmentation than did SCT (P<0.001). Intra- and interobserver repeatability of SCT was better for GM and WM (both P<0.001) but comparable with CLASS in entire spinal cord segmentation (P=0.17 and P=0.07, respectively). While FA values of whole spinal cord were not influenced by choice of segmentation method, both semiautomatic methods yielded lower FA values (P<0.005) for GM than did the manual technique (mean differences 0.02 and 0.04 for SCT and CLASS, respectively). Repeatability of FA values for all methods was sufficient, with mostly less than 2% variance.

Návaznosti

MUNI/A/1464/2014, interní kód MU

Název: Pokročilé techniky analýzy dat MR zobrazení tenzorů difuze míchy u pacientů s roztroušenou sklerózou

Investor: Masarykova univerzita, Pokročilé techniky analýzy dat MR zobrazení tenzorů difuze míchy u pacientů s roztroušenou sklerózou, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

NV15-32133A, projekt VaV

Název: Predikce konverze klinicky izolovaného syndromu do roztroušené sklerózy pomocí pokročilých technik zobrazení magnetickou rezonancí

Citovat

DOSTÁL, Marek, Miloš KEŘKOVSKÝ, Eva KORIŤÁKOVÁ, Eva NĚMCOVÁ, Jakub STULÍK, Monika STAŇKOVÁ a Vladan BERNARD. Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter. Journal of Magnetic Resonance Imaging. Hoboken: Wiley, 2018, roč. 48, č. 5, s. 1217-1227. ISSN 1053-1807. Dostupné z: https://dx.doi.org/10.1002/jmri.26166.

@article{1419019,
   author = {Dostál, Marek and Keřkovský, Miloš and Koriťáková, Eva and Němcová, Eva and Stulík, Jakub and Staňková, Monika and Bernard, Vladan},
   article_location = {Hoboken},
   article_number = {5},
   doi = {http://dx.doi.org/10.1002/jmri.26166},
   keywords = {ITK-SNAP; Spinal Cord Toolbox; diffusion tensor imaging; gray and white matter segmentation; spinal cord segmentation},
   language = {eng},
   issn = {1053-1807},
   journal = {Journal of Magnetic Resonance Imaging},
   title = {Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter},
   url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/jmri.26166},
   volume = {48},
   year = {2018}
}

TY  - JOUR
ID  - 1419019
AU  - Dostál, Marek - Keřkovský, Miloš - Koriťáková, Eva - Němcová, Eva - Stulík, Jakub - Staňková, Monika - Bernard, Vladan
PY  - 2018
TI  - Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter
JF  - Journal of Magnetic Resonance Imaging
VL  - 48
IS  - 5
SP  - 1217-1227
EP  - 1217-1227
PB  - Wiley
SN  - 10531807
KW  - ITK-SNAP
KW  - Spinal Cord Toolbox
KW  - diffusion tensor imaging
KW  - gray and white matter segmentation
KW  - spinal cord segmentation
UR  - https://onlinelibrary.wiley.com/doi/abs/10.1002/jmri.26166
N2  - BackgroundPurposeSegmentation of the gray and white matter (GM, WM) of the human spinal cord in MRI images as well as the analysis of spinal cord diffusivity are challenging. When appropriately segmented, diffusion tensor imaging (DTI) of the spinal cord might be beneficial in the diagnosis and prognosis of several diseases. To evaluate the applicability of a semiautomatic algorithm provided by ITK-SNAP in classification mode (CLASS) for segmenting cervical spinal cord GM, WM in MRI images and analyzing DTI parameters. Study TypeSubjectsProspective. Twenty healthy volunteers. SequencesAssessment1.5T, turbo spin echo, fast field echo, single-shot echo planar imaging. Three raters segmented the tissues by manual, CLASS, and atlas-based methods (Spinal Cord Toolbox, SCT) on T-2-weighted and DTI images. Masks were quantified by similarity and distance metrics, then analyzed for repeatability and mutual comparability. Masks created over T-2 images were registered into diffusion space and fractional anisotropy (FA) values were statistically evaluated for dependency on method, rater, or tissue. Statistical TestsResultst-test, analysis of variance (ANOVA), coefficient of variation, Dice coefficient, Hausdorff distance. CLASS segmentation reached better agreement with manual segmentation than did SCT (P<0.001). Intra- and interobserver repeatability of SCT was better for GM and WM (both P<0.001) but comparable with CLASS in entire spinal cord segmentation (P=0.17 and P=0.07, respectively). While FA values of whole spinal cord were not influenced by choice of segmentation method, both semiautomatic methods yielded lower FA values (P<0.005) for GM than did the manual technique (mean differences 0.02 and 0.04 for SCT and CLASS, respectively). Repeatability of FA values for all methods was sufficient, with mostly less than 2% variance.
ER  -

DOSTÁL, Marek, Miloš KEŘKOVSKÝ, Eva KORIŤÁKOVÁ, Eva NĚMCOVÁ, Jakub STULÍK, Monika STAŇKOVÁ a Vladan BERNARD. Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter. \textit{Journal of Magnetic Resonance Imaging}. Hoboken: Wiley, 2018, roč.~48, č.~5, s.~1217-1227. ISSN~1053-1807. Dostupné z: https://dx.doi.org/10.1002/jmri.26166.

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