Elsevier

NeuroImage

Volume 14, Issue 1, July 2001, Pages 1-6
NeuroImage

Regular Article
Quantification of F-18 FDG PET Images in Temporal Lobe Epilepsy Patients Using Probabilistic Brain Atlas

https://doi.org/10.1006/nimg.2001.0783Get rights and content

Abstract

A probabilistic atlas of the human brain (Statistical Probabilistic Anatomical Maps: SPAM) was developed by the international consortium for brain mapping (ICBM). It is a good frame for calculating volume of interest (VOI) in many fields of brain images. After calculating the counts in VOI using the product of probability of SPAM images and counts in FDG images, asymmetric indices (AI) were calculated and used for finding epileptogenic zones in mesial temporal lobe epilepsy (mTLE). FDG PET images from 18 surgically confirmed mTLE patients and 22 age-matched controls were spatially normalized to the average brain MRI template of ICBM. Counts from normalized PET images were multiplied with the probability of 12 VOIs from SPAM images in both temporal lobes. Finally AI were calculatedon each pair of VOIs, and compared with visualassessment. If AI of mTLE patients were notwithin 2.9 standard deviation from those of normalcontrol group (P < 0.008; Bonferroni correction for P < 0.05), epileptogenic zones were consideredto be found successfully. The counts of VOIs in the normal control group were symmetric (AI < 4.3%, paired t test P > 0.05) except for those of theinferior temporal gyrus (P < 0.001). By AIs in six pairs of VOIs, PET in mTLE had deficit on one side (P < 0.05). Lateralization was correct in only 14/18 of patients by AI, but 17/18 were consistent with visual inspection. In three patients with normal AI, PET images were symmetric on visual inspection. The asymmetric indices obtained by taking the product of the statistical probability anatomical map and FDG PET, correlated well with visual assessment in mTLE patients. SPAM is useful for the quantification of VOIs in functional images.

References (17)

There are more references available in the full text version of this article.

Cited by (54)

  • Multi-atlas cardiac PET segmentation

    2019, Physica Medica
    Citation 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 Neuroscience
    Citation 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 Molecular
  • Quantification of receptor-ligand binding potential in sub-striatal domains using probabilistic and template regions of interest

    2011, NeuroImage
    Citation 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 Behavior
    Citation 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 Clinics
    Citation 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

View all citing articles on Scopus
1

To whom correspondence and reprint requests should be addressed. E-mail: [email protected].

View full text