Regular ArticleQuantification of F-18 FDG PET Images in Temporal Lobe Epilepsy Patients Using Probabilistic Brain Atlas
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2019, Physica MedicaCitation Excerpt :Atlas-based segmentation is based on the spatial normalization of source (or input) image onto the template on which the regions-of-interest (ROI) for each anatomical or functional structure is predefined (the atlas labels). Fully automatic segmentation and analysis methods using single or probabilistic atlas-based segmentation are well established for brain PET and SPECT images [20–22]. Commercial software provides the atlas-based segmentation tool for cardiac PET and SPECT image analysis.
Neuroimaging for patient selection for medial temporal lobe epilepsy surgery: Part 2 functional neuroimaging
2016, Journal of Clinical NeuroscienceCitation Excerpt :Visual assessments by PET and SPECT scans are highly reliable when performed by nuclear medicine experts [128] and methods for quantitative analyses and image reproduction have been developed. SPM, statistical probabilistic anatomical map and subtraction ictal SPECT scans coregistered to MRI provide objective and reproducible information about cerebral metabolism and regional abnormalities [129–136]. Patients with refractory partial epilepsy demonstrate a localized reduction of flumazenil (FMZ) binding that is correlated to the side of seizure onset [137,138].
PET and SPECT in epilepsy
2014, Revista Espanola de Medicina Nuclear e Imagen MolecularQuantification of receptor-ligand binding potential in sub-striatal domains using probabilistic and template regions of interest
2011, NeuroImageCitation Excerpt :Most of these studies were aimed at automated segmentation of MR studies and none attempted segmentation of the striatum into the aforementioned sub-regions. Of those designed and tested for PET quantification (Hurlemann et al., 2005; Kang et al., 2001; Yasuno et al., 2002; Rousset et al., 2008; Rusjan et al., 2006; Shidahara et al., 2009; Svarer et al., 2005), only the last four report values for the striatum or its divisions. Rusjan et al. (2006) defined a single set of ROIs on the International Consortium for Brain Mapping (ICBM)/Montreal Neurological Institute (MNI) ICBM/MNI152 brain template and warped the ROIs onto individual MR and hence PET images with SPM2 (www.fil.ion.ucl.ac.uk/spm).
Presurgical epilepsy localization with interictal cerebral dysfunction
2011, Epilepsy and BehaviorCitation Excerpt :Higher-resolution tomographic systems support a higher detection rate for hypometabolism, and support greater concordance among readers, in qualitative interpretation of FDG imaging in localization-related epilepsies [48]. With quantitative analysis, detection of significant temporal lobe hypometabolism may exceed 90% in this group [53,89,90]. Temporal lobe hypometabolism usually extends over mesial and lateral portions of an interictally dysfunctional temporal lobe on FDG scans in mesial TLE [47,50,70,86,91,92].
PET imaging for traumatic brain injury
2010, PET ClinicsCitation Excerpt :Specifically, the idea of using semi-quantitative PET analysis to determine therapeutic response in oncology is gaining momentum.65,66 Quantification of FDG-PET in brain studies has been performed using several arithmetic methods including region of interest (ROI) and statistical parametric mapping.67–69 Practically, its use in temporal lobe epilepsy may be of greatest current value.29
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