40,661 research outputs found
Novel hierarchical approach for voxel-wise PET quantification: application on multi-compartmental models
No full textA new hierarchical method for PET parametric maps generation: Assessment on multi-compartmental models
No full textTSPO: functions and applications of a mitochondrial stress response pathway
No full textThe mitochondrial outer membrane protein TSPO (translocator protein) lies in a privileged position at the interface between mitochondrion and cytosol. Since the initially discovery, nearly forty years ago, it has generated major interest among various disciplines of modern experimental and applied biomedicine. The focused meeting we have organized aimed at summarizing the state of the art knowledge on TSPO and the discipline-based segregated concepts that have made this an exciting and active field of science. The scientists who have generously contributed the event have agreed to generate a special issue here published—stemmed from the discussion of the vent. This consists in a series of contributions via which the know-how is shared aiming to inspire current and future endeavours to validate and accelerate the impact of TSPO science in human pathophysiology and clinical applications
Multi-scale hierarchical approach for parametric mapping: assessment on multi-compartmental models
No full textMultimodal partial-volume correction: Application to 18F-fluoride PET/CT bone metastases studies
No full text18F-fluoride PET/CT offers the opportunity for accurate skeletal metastasis staging, compared with conventional imaging methods. 18F-fluoride is a bone-specific tracer whose uptake depends on osteoblastic activity. Because of the resulting increase in bone mineralization and sclerosis, the osteoblastic process can also be detected morphologically in CT images. Although CT is characterized by high resolution, the potential of PET is limited by its lower spatial resolution and the resulting partial-volume effect. In this context, the synergy between PET and CT presents an opportunity to resolve this limitation using a novel multimodal approach called synergistic functional-structural resolution recovery (SFS-RR). Its performance is benchmarked against current resolution recovery technology using the point-spread function (PSF) of the scanner in the reconstruction procedure. Methods: The SFS-RR technique takes advantage of the multiresolution property of the wavelet transform applied to both functional and structural images to create a high-resolution PET image that exploits the structural information of CT. Although the method was originally conceived for PET/MR imaging of brain data, an ad hoc version for whole-body PET/CT is proposed here. Three phantom experiments and 2 datasets of metastatic bone 18F-fluoride PET/CT images from primary prostate and breast cancer were used to test the algorithm performances. The SFS-RR images were compared with the manufacturer's PSFbased reconstruction using the standardized uptake value (SUV) and the metabolic volume as metrics for quantification. Results: When compared with standard PET images, the phantom experiments showed a bias reduction of 14% in activity and 1.3 cm3 in volume estimates for PSF images and up to 20% and 2.5 cm3 for the SFS-RR images. The SFS-RR images were characterized by a higher recovery coefficient (up to 60%) whereas noise levels remained comparable to those of standard PET. The clinical data showed an increase in the SUV estimates for SFS-RR images up to 34% for peak SUV and 50% for maximum SUV and mean SUV. Images were also characterized by sharper lesion contours and better lesion detectability. Conclusion: The proposed methodology generates PET images with improved quantitative and qualitative properties. Compared with standard methods, SFS-RR provides superior lesion segmentation and quantification, which may result in more accurate tumor characterization
Voxel-wise quantification of adenosine A2A receptor with [11C]SCH442416 PET images in humans
No full textA Bayesian Hierarchical Method For Generation Of PET Parametric Maps: Application On [11C]DPN Test-Retest Study
No full text
MRI-derived brain age as a biomarker of ageing in rats: validation using a healthy lifestyle intervention
Full text linkThe difference between brain age predicted from MRI and chronological age (the so-called BrainAGE) has been proposed as an ageing biomarker. We analyse its cross-species potential by testing it on rats undergoing an ageing modulation intervention. Our rat brain age prediction model combined Gaussian process regression with a classifier and achieved a mean absolute error (MAE) of 4.87 weeks using cross-validation on a longitudinal dataset of 31 normal ageing rats. It was then tested on two groups of 24 rats (MAE = 9.89 weeks, correlation coefficient = 0.86): controls vs. a group under long-term environmental enrichment and dietary restriction (EEDR). Using a linear mixed-effects model, BrainAGE was found to increase more slowly with chronological age in EEDR rats (p=0.015 for the interaction term). Cox regression showed that older BrainAGE at 5 months was associated with higher mortality risk (p=0.03). Our findings suggest that lifestyle-related prevention approaches may help to slow down brain ageing in rodents and the potential of BrainAGE as a predictor of age-related health outcomes
- …
