scholarly journals Patient-Specific Method of Generating Parametric Maps of Patlak Ki without Blood Sampling or Metabolite Correction: A Feasibility Study

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
George A. Sayre ◽  
Benjamin L. Franc ◽  
Youngho Seo
Keyword(s):  
Arterial Input Function ◽  
Therapy Monitoring ◽  
Input Function ◽  
Blood Sampling ◽  
Radiotherapy Planning ◽  
Patient Specific ◽  
Specific Method ◽  
Visual Contrast ◽  
Parametric Maps

Currently, kinetic analyses using dynamic positron emission tomography (PET) experience very limited use despite their potential for improving quantitative accuracy in several clinical and research applications. For targeted volume applications, such as radiation treatment planning, treatment monitoring, and cerebral metabolic studies, the key to implementation of these methods is the determination of an arterial input function, which can include time-consuming analysis of blood samples for metabolite correction. Targeted kinetic applications would become practical for the clinic if blood sampling and metabolite correction could be avoided. To this end, we developed a novel method (Patlak-P) of generating parametric maps that is identical to Patlak Ki (within a global scalar multiple) but does not require the determination of the arterial input function or metabolite correction. In this initial study, we show that Patlak-P (a) mimics Patlak Ki images in terms of visual assessment and target-to-background (TB) ratios of regions of elevated uptake, (b) has higher visual contrast and (generally) better image quality than SUV, and (c) may have an important role in improving radiotherapy planning, therapy monitoring, and neurometabolism studies.

scholarly journals Development and performance test of an online blood sampling system for determination of the arterial input function in rats

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Friedrich Roehrbacher ◽  
Jens P Bankstahl ◽  
Marion Bankstahl ◽  
Thomas Wanek ◽  
Johann Stanek ◽  
...  
Keyword(s):  
Performance Test ◽  
Arterial Input Function ◽  
Input Function ◽  
Blood Sampling ◽  
Sampling System ◽  
And Performance

scholarly journals Flow Dynamics in the Aortic Arch and Its Effect on the Arterial Input Function in Cardiac Computed Tomography

2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Parastou Eslami ◽  
Jung-Hee Seo ◽  
Albert C. Lardo ◽  
Marcus Y. Chen ◽  
Rajat Mittal
Keyword(s):  
Computed Tomography ◽  
Aortic Arch ◽  
Rise Time ◽  
Arterial Input Function ◽  
Cardiac Computed Tomography ◽  
Time Lag ◽  
Input Function ◽  
Patient Specific ◽  
Descending Aorta ◽  
Coronary Ostia

The arterial input function (AIF)—time-density curve (TDC) of contrast at the coronary ostia—plays a central role in contrast enhanced computed tomography angiography (CTA). This study employs computational modeling in a patient-specific aorta to investigate mixing and dispersion of contrast in the aortic arch (AA) and to compare the TDCs in the coronary ostium and the descending aorta. Here, we examine the validity of the use of TDC in the descending aorta as a surrogate for the AIF. Computational fluid dynamics (CFD) was used to study hemodynamics and contrast dispersion in a CTA-based patient model of the aorta. Variations in TDC between the aortic root, through the AA and at the descending aorta and the effect of flow patterns on contrast dispersion was studied via postprocessing of the results. Simulations showed complex unsteady patterns of contrast mixing and dispersion in the AA that are driven by the pulsatile flow. However, despite the relatively long intra-aortic distance between the coronary ostia and the descending aorta, the TDCs at these two locations were similar in terms of rise-time and up-slope, and the time lag between the two TDCs was 0.19 s. TDC in the descending aorta is an accurate analog of the AIF. Methods that use quantitative metrics such as rise-time and slope of the AIF to estimate coronary flowrate and myocardial ischemia can continue with the current practice of using the TDC at the descending aorta as a surrogate for the AIF.

Noninvasive determination of the arterial input function of an anticancer drug from dynamic PET scans using the population approach

1999 ◽  
Vol 26 (4) ◽  
pp. 609-615 ◽  
Author(s):  
Jutta Kissel ◽  
Rüdiger E. Port ◽  
Joachim Zaers ◽  
Matthias E. Bellemann ◽  
Ludwig G. Strauss ◽  
...  
Keyword(s):  
Anticancer Drug ◽  
Arterial Input Function ◽  
Input Function ◽  
Dynamic Pet ◽  
Population Approach ◽  
Pet Scans

scholarly journals Quantifying lumbar vertebral perfusion by a Tofts model on DCE-MRI using segmental versus aortic arterial input function

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yi-Jui Liu ◽  
Hou-Ting Yang ◽  
Melissa Min-Szu Yao ◽  
Shao-Chieh Lin ◽  
Der-Yang Cho ◽  
...  
Keyword(s):  
Arterial Input Function ◽  
Lumbar Vertebrae ◽  
Region Of Interest ◽  
Input Function ◽  
Population Based ◽  
Patient Specific ◽  
Rank Test ◽  
Pharmacokinetic Parameters ◽  
Dce Mri ◽  
Signed Rank Test

AbstractThe purpose of this study was to investigate the influence of arterial input function (AIF) selection on the quantification of vertebral perfusion using axial dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). In this study, axial DCE-MRI was performed on 2 vertebrae in each of eight healthy volunteers (mean age, 36.9 years; 5 men) using a 1.5-T scanner. The pharmacokinetic parameters Ktrans, ve, and vp, derived using a Tofts model on axial DCE-MRI of the lumbar vertebrae, were evaluated using various AIFs: the population-based aortic AIF (AIF_PA), a patient-specific aortic AIF (AIF_A) and a patient-specific segmental arterial AIF (AIF_SA). Additionally, peaks and delay times were changed to simulate the effects of various AIFs on the calculation of perfusion parameters. Nonparametric analyses including the Wilcoxon signed rank test and the Kruskal–Wallis test with a Dunn–Bonferroni post hoc analysis were performed. In simulation, Ktrans and ve increased as the peak in the AIF decreased, but vp increased when delay time in the AIF increased. In humans, the estimated Ktrans and ve were significantly smaller using AIF_A compared to AIF_SA no matter the computation style (pixel-wise or region-of-interest based). Both these perfusion parameters were significantly greater using AIF_SA compared to AIF_A.

scholarly journals Kinetic Quantitation of Cerebral PET-FDG Studies Without Concurrent Blood Sampling: Statistical Recovery of the Arterial Input Function

2010 ◽  
Vol 29 (3) ◽  
pp. 610-624 ◽  
Author(s):  
F. O'Sullivan ◽  
J. Kirrane ◽  
M. Muzi ◽  
J.N. O'Sullivan ◽  
A.M. Spence ◽  
...  
Keyword(s):  
Arterial Input Function ◽  
Input Function ◽  
Blood Sampling
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