scholarly journals Automated Reference Region Extraction and Population-Based Input Function for Brain [11C]TMSX PET Image Analyses

2014 ◽  
Vol 35 (1) ◽  
pp. 157-165 ◽  
Author(s):  
Eero Rissanen ◽  
Jouni Tuisku ◽  
Pauliina Luoto ◽  
Eveliina Arponen ◽  
Jarkko Johansson ◽  
...  
Keyword(s):  
Arterial Input Function ◽  
Input Function ◽  
Population Based ◽  
Reference Region ◽  
Automated Method ◽  
Arterial Blood ◽  
Positron Emission ◽  
Using Data ◽  
Multiple Sclerosis Patients ◽  
Image Analyses

[11C]TMSX ([7- N-methyl-11C]-(E)-8-(3,4,5-trimethoxystyryl)-1,3,7-trimethylxanthine) is a selective adenosine A2A receptor (A2AR) radioligand. In the central nervous system (CNS), A2AR are linked to dopamine D2 receptor function in striatum, but they are also important modulators of inflammation. The golden standard for kinetic modeling of brain [11C]TMSX positron emission tomography (PET) is to obtain arterial input function via arterial blood sampling. However, this method is laborious, prone to errors and unpleasant for study subjects. The aim of this work was to evaluate alternative input function acquisition methods for brain [11C]TMSX PET imaging. First, a noninvasive, automated method for the extraction of gray matter reference region using supervised clustering (SCgm) was developed. Second, a method for obtaining a population-based arterial input function (PBIF) was implemented. These methods were created using data from 28 study subjects (7 healthy controls, 12 multiple sclerosis patients, and 9 patients with Parkinson's disease). The results with PBIF correlated well with original plasma input, and the SCgm yielded similar results compared with cerebellum as a reference region. The clustering method for extracting reference region and the population-based approach for acquiring input for dynamic [11C]TMSX brain PET image analyses appear to be feasible and robust methods, that can be applied in patients with CNS pathology.

scholarly journals Evaluation of Simplified Kinetic Analyses for Measurement of Brain Acetylcholinesterase Activity Using N-[11C]Methylpiperidin-4-yl Propionate and Positron Emission Tomography

2004 ◽  
Vol 24 (6) ◽  
pp. 600-611 ◽  
Author(s):  
Koichi Sato ◽  
Kiyoshi Fukushi ◽  
Hitoshi Shinotoh ◽  
Shinichiro Nagatsuka ◽  
Noriko Tanaka ◽  
...  
Keyword(s):  
Ache Activity ◽  
Arterial Input Function ◽  
Acetylcholinesterase Activity ◽  
Input Function ◽  
Previous Method ◽  
Target Tissue ◽  
Standard Analysis ◽  
Reference Tissue ◽  
Arterial Blood ◽  
Positron Emission

The applicability of two reference tissue-based analyses without arterial blood sampling for the measurement of brain regional acetylcholinesterase (AChE) activity using N-[11C]methylpiperidin-4-yl propionate ([11C]MP4P) was evaluated in 12 healthy subjects. One was a linear least squares analysis derived from Blomqvist's equation, and the other was the analysis of the ratio of target-tissue radioactivity relative to reference-tissue radioactivity proposed by Herholz and coworkers. The standard compartment analysis using arterial input function provided reliable quantification of k3 (an index of AChE activity) estimates in regions with low (neocortex and hippocampus), moderate (thalamus), and high (cerebellum) AChE activity with a coefficient of variation (COV) of 12% to 19%. However, the precise k3 value in the striatum, where AChE activity is the highest, was not obtained. The striatum was used as a reference because its time-radioactivity curve was proportional to the time integral of the arterial input function. Reliable k3 estimates were also obtained in regions with low-to-moderate AChE activity with a COV of less than 21% by striatal reference analyses, though not obtained in the cerebellum. Shape analysis, the previous method of direct k3 estimation from the shape of time-radioactivity data, gave k3 estimates in the cortex and thalamus with a somewhat larger COV. In comparison with the standard analysis, a moderate overestimation of k3 by 9% to 18% in the linear analysis and a moderate underestimation by 2% to 13% in the Herholz method were observed, which were appropriately explained by the results of computer simulation. In conclusion, simplified kinetic analyses are practical and useful for the routine analysis of clinical [11C]MP4P studies and are nearly as effective as the standard analysis for detecting regions with abnormal AChE activity.

scholarly journals Arterial Input Function Derived from Pairwise Correlations Between PET-image Voxels

2013 ◽  
Vol 33 (7) ◽  
pp. 1058-1065 ◽  
Author(s):  
Martin Schain ◽  
Simon Benjaminsson ◽  
Katarina Varnäs ◽  
Anton Forsberg ◽  
Christer Halldin ◽  
...  
Keyword(s):  
Arterial Input Function ◽  
Pearson Correlation ◽  
Invasive Procedure ◽  
Compartmental Analysis ◽  
Input Function ◽  
Time Activity ◽  
Pairwise Correlation ◽  
Positron Emission ◽  
Using Data ◽  
Suitable Reference

A metabolite corrected arterial input function is a prerequisite for quantification of positron emission tomography (PET) data by compartmental analysis. This quantitative approach is also necessary for radioligands without suitable reference regions in brain. The measurement is laborious and requires cannulation of a peripheral artery, a procedure that can be associated with patient discomfort and potential adverse events. A non invasive procedure for obtaining the arterial input function is thus preferable. In this study, we present a novel method to obtain image-derived input functions (IDIFs). The method is based on calculation of the Pearson correlation coefficient between the time-activity curves of voxel pairs in the PET image to localize voxels displaying blood-like behavior. The method was evaluated using data obtained in human studies with the radioligands [ 11 C]flumazenil and [ 11 C]AZ10419369, and its performance was compared with three previously published methods. The distribution volumes ( VT) obtained using IDIFs were compared with those obtained using traditional arterial measurements. Overall, the agreement in VT was good (~3% difference) for input functions obtained using the pairwise correlation approach. This approach performed similarly or even better than the other methods, and could be considered in applied clinical studies. Applications to other radioligands are needed for further verification.

scholarly journals Reference Region Modeling Approaches for Amphetamine Challenge Studies with [11C]FLB 457 and PET

2015 ◽  
Vol 35 (4) ◽  
pp. 623-629 ◽  
Author(s):  
Christine M Sandiego ◽  
Jean-Dominique Gallezot ◽  
Keunpoong Lim ◽  
Jim Ropchan ◽  
Shu-fei Lin ◽  
...  
Keyword(s):  
Arterial Input Function ◽  
Input Function ◽  
Brain Regions ◽  
Reference Region ◽  
Reference Tissue ◽  
Modeling Approaches ◽  
Positron Emission ◽  
Dopaminergic Dysfunction ◽  
Induced Changes ◽  
Tissue Models

Detecting fluctuations in synaptic dopamine levels in extrastriatal brain regions with [11C]FLB 457 and positron emission tomography (PET) is a valuable tool for studying dopaminergic dysfunction in psychiatric disorders. The evaluation of reference region modeling approaches would eliminate the need to obtain arterial input function data. Our goal was to explore the use of reference region models to estimate amphetamine-induced changes in [11C]FLB 457 dopamine D2/D3 binding. Six healthy tobacco smokers were imaged with [11C]FLB 457 at baseline and at 3 hours after amphetamine (0.4  to 0.5 mg/kg, per os) administration. Simplified reference tissue models, SRTM and SRTM2, were evaluated against the 2-tissue compartmental model (2TC) to estimate [11C]FLB 457 binding in extrastriatal regions of interest (ROIs), using the cerebellum as a reference region. No changes in distribution volume were observed in the cerebellum between scan conditions. SRTM and SRTM2 underestimated binding, compared with 2TC, in ROIs by 26% and 9%, respectively, with consistent bias between the baseline and postamphetamine scans. Postamphetamine, [11C]FLB 457 binding significantly decreased across several brain regions as measured with SRTM and SRTM2; no significant change was detected with 2TC. These data support the sensitivity of [11C]FLB 457 for measuring amphetamine-induced dopamine release in extrastriatal regions with SRTM and SRTM2.

scholarly journals PL - 031 Skeletal muscle blood flow determination using gold standard invasive arterial input function and non-invasive image-based input function by positron emission tomography (PET)

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Ilkka Heinonen ◽  
Kari Kalliokoski ◽  
Vesa Oikonen ◽  
Christopher Mawhinney ◽  
Warren Gregson ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Blood Flow ◽  
Data Analysis ◽  
Arterial Input Function ◽  
Muscle Blood Flow ◽  
Input Function ◽  
Invasive Approach ◽  
Skeletal Muscle Blood Flow ◽  
Non Invasive ◽  
Arterial Blood

Objective Skeletal muscle is unique among organs in that its blood flow, thus oxygen supply that is critical for muscular function, can change over a remarkably large range. Compared to the rest, muscle blood flow can increase over 20-fold during intense exercise. Positron emission tomography (PET) and [15O]-H2O tracer provide a unique tool for the direct measurement of muscle blood flow in specific muscle regions. Quantification of PET blood flow requires knowledge of the arterial input function, which is usually provided by arterial blood sampling. However, arterial sampling is an invasive approach requiring arterial cannulation. In the current study, we aimed to explore the analysis and error estimation based on non-invasive, PET image-based input function for skeletal muscle blood flow in PET [15O]-labeled radiowater study. Methods Thirty healthy untrained men volunteered to participate in this study. [15O]-labeled radio water PET perfusion scans were performed at rest and right after cycling exercise. GE Discovery PET-CT scanner was used for image acquisition. The 15O isotope was produced with a Cyclone 3 cyclotron (IBA Molecular, Belgium). After 455 MBq of 15O-H2O was injected intravenously and after 20 seconds, dynamic scanning images were performed in following frames: 6x5 seconds, 12x10 seconds, 7x30 seconds and 12x10 seconds. Arterial blood was sampled continuously from radial artery during imaging for radioactivity with a detector during PET scanning. All the data analysis was performed using all in-house developed programs. Arterial input function was preprocessed with delay correction. Image-based input function was defined based on sum image of dynamic images. Blood flow was calculated using the 1-tissue compartment model, k1 is considered as blood flow without any further correction. All data analysis was performed by Carimas software (http://www.turkupetcentre.fi/carimas). Data analysis was performed in five parts: 1) Modelling data using input function from artery. 2) By defining femoral artery Volume Of Interest (VOI) on PET images. 3) Modelling data using image-based input function. 4) Calculating the correlation for blood flow between artery (blood) input function and image-based input function. 5) Predicted true blood flow was calculated based on correlation based on the initial linear relationship between blood and image-based input functions. Results Skeletal muscle blood flow had a good linear relationship calculated by femoral artery VOI and by arterial (blood) input function (y = 2,9587x - 0,096, R² = 0,8852, p<0.0001). Further, by using the prediction equation obtained by the linear relationship between VOI-determined (femoral) artery blood flow and direct gold standard (radial) artery input function determined blood flow, image-based input function determined blood flow was well predicted using this non-invasive approach (y = 1,1812x + 0,1219, R² = 0,9259, p<0.0001). Conclusions It is concluded that there is a strong linear correlation between gold standard invasive approach and non-invasive image-based approach to measure skeletal muscle blood flow by PET, but if no further corrections are made, image-based approach overestimates correct blood flow. However, this can be corrected by linear prediction equation, suggesting that invasive arterial input function may not always be needed in the future when measuring skeletal muscle blood flow by PET. This will be of benefit particularly for exercise studies.

Prevalence of multiple sclerosis in Denmark 1950—2005

2010 ◽  
Vol 16 (5) ◽  
pp. 520-525 ◽  
Author(s):  
Joan Bentzen ◽  
Esben Meulengracht Flachs ◽  
Egon Stenager ◽  
Henrik Brønnum-Hansen ◽  
Nils Koch-Henriksen
Keyword(s):  
Multiple Sclerosis ◽  
Confidence Interval ◽  
Environmental Changes ◽  
Population Based ◽  
National Registry ◽  
Age At First Birth ◽  
Genetic Changes ◽  
Increased Risk ◽  
Using Data ◽  
Multiple Sclerosis Patients

Multiple sclerosis is an inflammatory disease of the central nervous system of unknown aetiology. Its prevalence varies by ethnicity and place: persons of northern European descent are at increased risk while persons living at lower latitudes appear to be protected against the disease. The Danish Multiple Sclerosis Registry is a national registry established in 1956 after a population-based survey which receives information from numerous sources. It is considered to be more than 90% complete, with a validity of 94%. Using data from the Registry, we calculated prevalences per 100,000 inhabitants. The standardized prevalence of multiple sclerosis increased from 58.8 (95% confidence interval: 54.9—62.7) in 1950 to 154.5 per 100,000 (95% confidence interval: 148.8—160.2) in 2005, and the female to male ratio increased from 1.31 in 1950 to 2.02 in 2005. The increase in prevalence is due to both increased survival of multiple sclerosis patients and an increased incidence rate. The rise in prevalence in the past 50 years is probably due more to environmental factors than to genetic changes in the Danish population. Among women, environmental changes could include older age at first birth, use of oral contraceptives, or changes in sun behaviour and/or vitamin D status.

scholarly journals Noninvasive Assessment of Arterial Compliance of Human Cerebral Arteries with Short Inversion Time Arterial Spin Labeling

2015 ◽  
Vol 35 (3) ◽  
pp. 461-468 ◽  
Author(s):  
Esther AH Warnert ◽  
Kevin Murphy ◽  
Judith E Hall ◽  
Richard G Wise
Keyword(s):  
Arterial Spin Labeling ◽  
Arterial Input Function ◽  
Arterial Compliance ◽  
Cerebral Arteries ◽  
Spin Labeling ◽  
Input Function ◽  
Inversion Time ◽  
Arterial Blood ◽  
Left Posterior ◽  
Middle Cerebral Arteries

A noninvasive method of assessing cerebral arterial compliance (AC) is introduced in which arterial spin labeling (ASL) is used to measure changes in arterial blood volume (aBV) occurring within the cardiac cycle. Short inversion time pulsed ASL (PASL) was performed in healthy volunteers with inversion times ranging from 250 to 850 ms. A model of the arterial input function was used to obtain the cerebral aBV. Results indicate that aBV depends on the cardiac phase of the arteries in the imaging volume. Cerebral AC, estimated from aBV and brachial blood pressure measured noninvasively in systole and diastole, was assessed in the flow territories of the basal cerebral arteries originating from the circle of Willis: right and left middle cerebral arteries (RMCA and LMCA), right and left posterior cerebral arteries (RPCA and LPCA), and the anterior cerebral artery (ACA). Group average AC values calculated for the RMCA, LMCA, ACA, RPCA, and LPCA were 0.56%±0.2%, 0.50%±0.3%, 0.4%±0.2%, 1.1%±0.5%, and 1.1%±0.3% per mm Hg, respectively. The current experiment has shown the feasibility of measuring AC of cerebral arteries with short inversion time PASL.

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