Introduction of a Simple Algorithm to Create Synthetic-computed Tomography of the Head from Magnetic Resonance Imaging.
Deformable registration
Demons algorithm
radiotherapy
synthetic computed tomography
Journal
Journal of medical signals and sensors
ISSN: 2228-7477
Titre abrégé: J Med Signals Sens
Pays: India
ID NLM: 101577416
Informations de publication
Date de publication:
Historique:
entrez:
19
7
2019
pubmed:
19
7
2019
medline:
19
7
2019
Statut:
ppublish
Résumé
Recently, magnetic resonance imaging (MRI)-based radiotherapy has become a favorite science field for treatment planning purposes. In this study, a simple algorithm was introduced to create synthetic computed tomography (sCT) of the head from MRI. A simple atlas-based method was proposed to create sCT images based on the paired T1/T2-weighted MRI and bone/brain window CT. Dataset included 10 patients with glioblastoma multiforme and 10 patients with other brain tumors. To generate a sCT image, first each MR from dataset was registered to the target-MR, the resulting transformation was applied to the corresponding CT to create the set of deformed CTs. Then, deformed-CTs were fused to generate a single sCT image. The sCT images were compared with the real CT images using geometric measures (mean absolute error [MAE] and dice similarity coefficient of bone [DSC The evaluations carried out by MAE, DSC This method showed that MR sequence (T1w or T2w) should be selected depending on the type of tumor. In addition, the brain window synthetic CTs are in better agreement with real CT relative to bone window sCT images.
Sections du résumé
BACKGROUND
BACKGROUND
Recently, magnetic resonance imaging (MRI)-based radiotherapy has become a favorite science field for treatment planning purposes. In this study, a simple algorithm was introduced to create synthetic computed tomography (sCT) of the head from MRI.
METHODS
METHODS
A simple atlas-based method was proposed to create sCT images based on the paired T1/T2-weighted MRI and bone/brain window CT. Dataset included 10 patients with glioblastoma multiforme and 10 patients with other brain tumors. To generate a sCT image, first each MR from dataset was registered to the target-MR, the resulting transformation was applied to the corresponding CT to create the set of deformed CTs. Then, deformed-CTs were fused to generate a single sCT image. The sCT images were compared with the real CT images using geometric measures (mean absolute error [MAE] and dice similarity coefficient of bone [DSC
RESULTS
RESULTS
The evaluations carried out by MAE, DSC
CONCLUSION
CONCLUSIONS
This method showed that MR sequence (T1w or T2w) should be selected depending on the type of tumor. In addition, the brain window synthetic CTs are in better agreement with real CT relative to bone window sCT images.
Identifiants
pubmed: 31316906
doi: 10.4103/jmss.JMSS_26_18
pii: JMSS-9-123
pmc: PMC6601231
doi:
Types de publication
Journal Article
Langues
eng
Pagination
123-129Déclaration de conflit d'intérêts
There are no conflicts of interest.
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