Quantification of GABAA receptors in the rat brain with [123I]Iomazenil SPECT from factor analysis-denoised images

Tsartsalis, Stergios; Moulin-Sallanon, Marcelle; Dumas, Noé; Tournier, Benjamin B.; Ghezzi, Cathérine; Charnay, Yves; Ginovart, Nathalie; Millet, Philippe

doi:10.1016/j.nucmedbio.2013.11.008

Cited by 14 publications

(20 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dynamic images were then processed in the Pixies software (Apteryx, Issy-les-Moulineaux, France) as previously described [12, 14–16, 35–38]. Briefly, FA is used for the decomposition of a series of dynamic images into a few elementary component-images.…”

Section: Methodsmentioning

confidence: 99%

“…To simulate [ 123 I]IMZ kinetics, TACs were extracted from one of the human dynamic SPECT studies using PMOD. These TACs were then fitted with SRTM in the PKIN tool [41] using the TAC from the pons VOI as a reference-region, as previously described [12], and model curves of this fit were extracted. The true simulated parameters are presented in S1 Table.…”

Section: Methodsmentioning

confidence: 99%

“…Voxel-wise kinetic analysis was performed in PXMOD [49] pixel-wise quantification tool in PMOD software, as previously described [12]. Two model configurations were used: the SRTM [30, 31] using the basis function method (hereon SRTM) and the Logan non-invasive graphical analysis [32] (hereon LNIGA) to generate parametric images of BP ND [50].…”

Section: Methodsmentioning

confidence: 99%

“…Among these methods, factor analysis (FA) has shown its potential in denoising cardiological [11] and, more recently, small-animal brain imaging data [12, 13]. FA separates the signal of dynamic images into a finite number of factor-images [11, 14–16].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamic image denoising for voxel-wise quantification with Statistical Parametric Mapping in molecular neuroimaging

Tsartsalis

Tournier

et al. 2018

PLoS ONE

Self Cite

View full text Add to dashboard Cite

PurposePET and SPECT voxel kinetics are highly noised. To our knowledge, no study has determined the effect of denoising on the ability to detect differences in binding at the voxel level using Statistical Parametric Mapping (SPM).MethodsIn the present study, groups of subject-images with a 10%- and 20%- difference in binding of [123I]iomazenil (IMZ) were simulated. They were denoised with Factor Analysis (FA). Parametric images of binding potential (BPND) were produced with the simplified reference tissue model (SRTM) and the Logan non-invasive graphical analysis (LNIGA) and analyzed using SPM to detect group differences. FA was also applied to [123I]IMZ and [11C]flumazenil (FMZ) clinical images (n = 4) and the variance of BPND was evaluated.ResultsEstimations from FA-denoised simulated images provided a more favorable bias-precision profile in SRTM and LNIGA quantification. Simulated differences were detected in a higher number of voxels when denoised simulated images were used for voxel-wise estimations, compared to quantification on raw simulated images. Variability of voxel-wise binding estimations on denoised clinical SPECT and PET images was also significantly diminished.ConclusionIn conclusion, noise removal from dynamic brain SPECT and PET images may optimize voxel-wise BPND estimations and detection of biological differences using SPM.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic image denoising for voxel-wise quantification with Statistical Parametric Mapping in molecular neuroimaging

Tsartsalis

Tournier

et al. 2018

PLoS ONE

Self Cite

View full text Add to dashboard Cite

show abstract

“…The CF 3 analogue 4 was also an attractive target, as new methods are emerging for the synthesis of radiolabelled [ 18 F]‐CF 3 groups . Finally, a synthesis of the iodo analogue 5 was explored as the 123 I isotope is widely used for single‐photon emission‐computed tomography (SPECT) imaging . The syntheses of these compounds are described below, and the assessment of their biological activities as agonists at three different GABA A receptor types are also discussed.…”

Section: Introductionmentioning

confidence: 99%

The Synthesis and Evaluation of Fluoro‐, Trifluoromethyl‐, and Iodomuscimols as GABA Agonists

Manan

Cordes

Slawin

et al. 2017

Chemistry A European J

View full text Add to dashboard Cite

Halogenated analogues of the neurotoxic alkaloid muscimol were prepared with fluorine, iodine or trifluoromethyl at the 4 position of the isoxazole ring system. These compounds were investigated as agonists for GABA receptors. Only the C-4 fluorine-containing analogue proved to be an active compound in these assays. The fluoro analogue was less active than muscimol, however it showed differential activity between synaptic (α β γ ) and extrasynaptic (α β γ) GABA receptors, having a similar potency to the neurotransmitter GABA for the extrasynaptic (α β γ) receptor.

show abstract

Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling

Wimberley

Nguyen

Truillet

et al. 2020

Eur J Nucl Med Mol Imaging

View full text Add to dashboard Cite

Longitudinal mouse PET imaging is becoming increasingly popular due to the large number of transgenic and disease models available but faces challenges. These challenges are related to the small size of the mouse brain and the limited spatial resolution of microPET scanners, along with the small blood volume making arterial blood sampling challenging and impossible for longitudinal studies. The ability to extract an input function directly from the image would be useful for quantification in longitudinal small animal studies where there is no true reference region available such as TSPO imaging. Methods Using dynamic, whole-body 18 F-DPA-714 PET scans (60 min) in a mouse model of hippocampal sclerosis, we applied a factor analysis (FA) approach to extract an image-derived input function (IDIF). This mouse-specific IDIF was then used for 4D-resolution recovery and denoising (4D-RRD) that outputs a dynamic image with better spatial resolution and noise properties, and a map of the total volume of distribution (V T) was obtained using a basis function approach in a total of 9 mice with 4 longitudinal PET scans each. We also calculated percent injected dose (%ID) with and without 4D-RRD. The V T and %ID parameters were compared to quantified ex vivo autoradiography using regional correlations of the specific binding from autoradiography against V T and %ID parameters. Results The peaks of the IDIFs were strongly correlated with the injected dose (Pearson R = 0.79). The regional correlations between the %ID estimates and autoradiography were R = 0.53 without 4D-RRD and 0.72 with 4D-RRD over all mice and scans. The regional correlations between the V T estimates and autoradiography were R = 0.66 without 4D-RRD and 0.79 with application of 4D-RRD over all mice and scans. Conclusion We present a FA approach for IDIF extraction which is robust, reproducible and can be used in quantification methods for resolution recovery, denoising and parameter estimation. We demonstrated that the proposed quantification method yields parameter estimates closer to ex vivo measurements than semi-quantitative methods such as %ID and is immune to tracer binding in tissue unlike reference tissue methods. This approach allows for accurate quantification in longitudinal PET studies in mice while avoiding repeated blood sampling.

show abstract

Quantification of GABAA receptors in the rat brain with [123I]Iomazenil SPECT from factor analysis-denoised images

Abstract: a b s t r a c t a r t i c l e i n f o

Cited by 14 publications

References 35 publications

Dynamic image denoising for voxel-wise quantification with Statistical Parametric Mapping in molecular neuroimaging

Dynamic image denoising for voxel-wise quantification with Statistical Parametric Mapping in molecular neuroimaging

The Synthesis and Evaluation of Fluoro‐, Trifluoromethyl‐, and Iodomuscimols as GABA Agonists

Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling

Contact Info

Product

Resources

About