Anatomically guided voxel-based partial volume effect correction in brain PET: Impact of MRI segmentation
| Autor: | Marie-Louise Montandon, Frédéric Assal, Daniel Gutierrez, Habib Zaidi, Osman Ratib, Karl-Olof Lövblad, Mohamed Allaoua |
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| Rok vydání: | 2012 |
| Předmět: |
Male
SPM Computer science Partial volume computer.software_genre 030218 nuclear medicine & medical imaging Magnetic Resonance Imaging/methods 0302 clinical medicine Segmentation Brain/pathology/radionuclide imaging Voxel ROBUSTNESS Aged 80 and over Radiological and Ultrasound Technology medicine.diagnostic_test Brain Middle Aged Computer Graphics and Computer-Aided Design Magnetic Resonance Imaging medicine.anatomical_structure Dementia/diagnosis Fluorodeoxyglucose F18/diagnostic use Imaging Three-Dimensional/methods Positron emission tomography Partial volume effect Female Computer Vision and Pattern Recognition Image Enhancement/methods Artifacts Algorithms MRI IMAGES Health Informatics Brain imaging Statistical parametric mapping ddc:616.0757 Sensitivity and Specificity White matter 03 medical and health sciences POSITRON-EMISSION-TOMOGRAPHY Imaging Three-Dimensional Neuroimaging Fluorodeoxyglucose F18 medicine Humans Radiology Nuclear Medicine and imaging Radiopharmaceuticals/diagnostic use Aged business.industry Reproducibility of Results Image segmentation Positron-Emission Tomography/methods Image Enhancement PET RESOLUTION Positron-Emission Tomography Subtraction Technique Dementia Radiopharmaceuticals Nuclear medicine business computer 030217 neurology & neurosurgery |
| Zdroj: | Computerized Medical Imaging and Graphics Computerized medical imaging and graphics, 36(8), 610-619. PERGAMON-ELSEVIER SCIENCE LTD Computerized Medical Imaging and Graphics, Vol. 36, No 8 (2012) pp. 610-9 |
| ISSN: | 0895-6111 |
| DOI: | 10.1016/j.compmedimag.2012.09.001 |
| Popis: | Partial volume effect is still considered one of the main limitations in brain PET imaging given the limited spatial resolution of current generation PET scanners. The accuracy of anatomically guided partial volume effect correction (PVC) algorithms in brain PET is largely dependent on the performance of MRI segmentation algorithms partitioning the brain into its main classes, namely gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). A comparative evaluation of four brain MRI segmentation algorithms bundled in the successive releases of Statistical Parametric Mapping (SPM) package (SPM99, SPM2, SPM5, SPM8) using clinical neurological examinations was performed. Subsequently, their impact on PVC in (18)F-FDG brain PET imaging was assessed. The principle of the different variants of the image segmentation algorithm is to spatially normalize the subject's MR images to a corresponding template. PET images were corrected for partial volume effect using GM volume segmented from coregistered MR images. The PVC approach aims to compensate for signal dilution in non-active tissues such as CSF, which becomes an important issue in the case of tissue atrophy to prevent a misinterpretation of decrease of metabolism owing to PVE. The study population consisted of 19 patients suffering from neurodegenerative dementia. Image segmentation performed using SPM5 was used as reference. The comparison showed that previous releases of SPM (SPM99 and SPM2) result in larger gray matter regions (~20%) and smaller white matter regions (between -17% and -6%), thus introducing non-negligible bias in PVC PET activity estimates (between 30% and 90%). In contrary, the more recent release (SPM8) results in similar results ( |
| Databáze: | OpenAIRE |
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