Handling of Dynamic Sequences in Nuclear Medicine

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

“…Subsequently, to diminish this effect one has to increase the number of photons that are detected, which means injecting higher doses of radioactivity. FA attempts to separate the signal of dynamic images into a finite number of factor images each of which has a certain contribution [13,25,27,44]. Factors associated with noise, as is the case in our study and as already reported in SPECT studies of myocardial blood flow [13], are removed.…”

“…FA enables decomposition of the signal contained in a series of dynamic images into a few elementary components, called factors [25]. In this study, FA correction of the images had the purpose of reducing noise in the SPECT data and thus improving image quality and kinetic parameter estimation.…”

“…Results obtained with these approaches were compared to the results of kinetic analysis with a one-and a two-tissue compartment model (1TC and 2TC) using plasma-derived input function. Alongside this, we put forward an approach for image denoising with FA [25] of SPECT data, that enables accurate estimations of binding parameters with the aforementioned models using scans of short duration and obtaining results with smaller standard error.…”

Automatic TAC extraction from dynamic cardiac PET imaging using iterative correlation from a population template

“…Factor analysis of dynamic structures has removed the need for manual segmentation [9][10][11]. Although this approach is used extensively for semi-automatic TAC extraction, its main drawback is the non-uniqueness of the solution, which in practice is observed as spatial overlap between factor images from different regions [2].…”

Hybrid image and blood sampling input function for quantification of small animal dynamic PET data

“…The techniques fall broadly into two categories: apex-seeking approaches and least-squares optimization. The apex-seeking approaches with non-negativity constraints have been successfully applied to human PET images [4][5][6], primates [7], and microPET rat data [8,9]. The least-squares approaches have successfully been applied to human cardiac PET data [10][11][12].…”