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.


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
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

Pagination

814-821

Auteurs

Masami Goto (M)

Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Juntendo University, Tokyo, Japan.

Syo Murata (S)

Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Masaaki Hori (M)

Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Kiyotaka Nemoto (K)

Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.

Koji Kamatgata (K)

Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Shigeki Aoki (S)

Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Osamu Abe (O)

Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan.

Hajime Sakamoto (H)

Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Juntendo University, Tokyo, Japan.

Yasuaki Sakano (Y)

Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Juntendo University, Tokyo, Japan.

Shinsuke Kyogoku (S)

Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Juntendo University, Tokyo, Japan.

Hiroyuki Daida (H)

Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Juntendo University, Tokyo, Japan.

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