Study of novel deformable image registration in myocardial perfusion single-photon emission computed tomography.
Aged
Aged, 80 and over
Algorithms
Cardiac-Gated Imaging Techniques
Computer Simulation
Coronary Artery Disease
/ diagnostic imaging
Diastole
Female
Heart
/ diagnostic imaging
Humans
Image Processing, Computer-Assisted
Male
Middle Aged
Monte Carlo Method
Myocardial Ischemia
/ diagnostic imaging
Perfusion Imaging
/ methods
Phantoms, Imaging
ROC Curve
Tomography, Emission-Computed, Single-Photon
/ methods
Journal
Nuclear medicine communications
ISSN: 1473-5628
Titre abrégé: Nucl Med Commun
Pays: England
ID NLM: 8201017
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
pubmed:
3
1
2020
medline:
16
12
2020
entrez:
3
1
2020
Statut:
ppublish
Résumé
In the present study, deformable image registration (DIR) technology was applied to gated myocardial perfusion single-photon emission computed tomography (G-MPS) reconstructed images in distorting all image phases. We aimed to define a new method of end-diastole compatible image registration and verify the clinical usability for any cardiac volume. Projection images were created using the Monte Carlo simulation. All image phases were shifted to fit the end-diastole phase by applying DIR to images that were reconstructed from projection images. Defect ratios were subsequently evaluated using the simulated images of the anterior wall simulated ischemia. Furthermore, receiver operating characteristic (ROC) analysis was performed for the clinical evaluation of DIR and nongated images. To this end, normal volume and small hearts of 33 patients without coronary artery disease and 55 with single vessel disease (coronary stenosis > 70%) were evaluated. Defect ratio analysis for voxel values of 25-100 were 75.7-21.3 for nongated and 74.7-15.6 for DIR images. For normal cardiac volume, the area under the ROC curve was 0.901 ± 0.088 for nongated and 0.925 ± 0.073 for DIR images (P = 0.078). Finally, for small cardiac volume, the area under the ROC curve was 0.651 ± 0.124 for nongated and 0.815 ± 0.119 for DIR (P < 0.01). In the present study, we developed a new registration technique by applying DIR to G-MPS images. When optimal DIR conditions were applied, the resolution of G-MPS images was improved. Furthermore, the diagnostic ability was improved in cases of small cardiac volume.
Identifiants
pubmed: 31895756
doi: 10.1097/MNM.0000000000001140
pii: 00006231-202003000-00004
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
196-205Références
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