Using modulated and smoothed data improves detectability of volume difference in group comparison, but reduces accuracy with atlas-based volumetry using Statistical Parametric Mapping 12 software.
Atlas-based volumetry
Statistical Parametric Mapping
idiopathic normal pressure hydrocephalus
lateral ventricles
smoothed data
Journal
Acta radiologica (Stockholm, Sweden : 1987)
ISSN: 1600-0455
Titre abrégé: Acta Radiol
Pays: England
ID NLM: 8706123
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
pubmed:
20
7
2021
medline:
21
5
2022
entrez:
19
7
2021
Statut:
ppublish
Résumé
Atlas-based volumetry using three-dimensional T1-weighted (3D-T1W) magnetic resonance imaging (MRI) has been used previously to evaluate the volumes of intracranial tissues. To evaluate the detectability of volume difference and accuracy for volumetry using smoothed data with an atlas-based method. Twenty healthy individuals and 24 patients with idiopathic normal-pressure hydrocephalus (iNPH) underwent 3-T MRI, and sagittal 3D-T1W images were obtained in all participants. Signal values (as tissue probability) of voxels in five segmented data types (gray matter, white matter, cerebrospinal fluid [CSF], skull, soft tissue) derived from the 3D-T1W images with SPM 12 software were assigned simulated 3D-T1W signal intensities to each tissue image. The assigned data were termed "reference data." We created a reference 3D-T1W image that included the reference data of all five tissue types. Standard volumes were measured for the reference CSF data with region of interest of lateral ventricle in native space, and measured volumes were obtained for non-smoothed and smoothed-modulated data. Detectability was evaluated between measured volumes in the healthy control and iNPH groups. Accuracy was evaluated as the difference between the mean measured and standard volumes. In group comparison of measured volumes between the healthy control and iNPH groups, the lowest Our study shows that using smoothed data can improve detectability in group comparison. However, using smoothed data reduces the accuracy of volumetry.
Sections du résumé
BACKGROUND
BACKGROUND
Atlas-based volumetry using three-dimensional T1-weighted (3D-T1W) magnetic resonance imaging (MRI) has been used previously to evaluate the volumes of intracranial tissues.
PURPOSE
OBJECTIVE
To evaluate the detectability of volume difference and accuracy for volumetry using smoothed data with an atlas-based method.
MATERIAL AND METHODS
METHODS
Twenty healthy individuals and 24 patients with idiopathic normal-pressure hydrocephalus (iNPH) underwent 3-T MRI, and sagittal 3D-T1W images were obtained in all participants. Signal values (as tissue probability) of voxels in five segmented data types (gray matter, white matter, cerebrospinal fluid [CSF], skull, soft tissue) derived from the 3D-T1W images with SPM 12 software were assigned simulated 3D-T1W signal intensities to each tissue image. The assigned data were termed "reference data." We created a reference 3D-T1W image that included the reference data of all five tissue types. Standard volumes were measured for the reference CSF data with region of interest of lateral ventricle in native space, and measured volumes were obtained for non-smoothed and smoothed-modulated data. Detectability was evaluated between measured volumes in the healthy control and iNPH groups. Accuracy was evaluated as the difference between the mean measured and standard volumes.
RESULTS
RESULTS
In group comparison of measured volumes between the healthy control and iNPH groups, the lowest
CONCLUSION
CONCLUSIONS
Our study shows that using smoothed data can improve detectability in group comparison. However, using smoothed data reduces the accuracy of volumetry.
Identifiants
pubmed: 34279134
doi: 10.1177/02841851211032442
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM