Enhanced quantitative PET imaging utilizing adaptive partial resolution modeling
371 Objectives Resolution Modeling (RM) in PET imaging models resolution degrading
phenomena within reconstruction step, improving resolution and contrast recovery (CR) …
phenomena within reconstruction step, improving resolution and contrast recovery (CR) …
Towards continualized task-based resolution modeling in PET imaging
S Ashrafinia, N Karakatsanis… - … 2014: Physics of …, 2014 - spiedigitallibrary.org
We propose a generalized resolution modeling (RM) framework, including extensive task-
based optimization, wherein we continualize the conventionally discrete framework of RM …
based optimization, wherein we continualize the conventionally discrete framework of RM …
Qualitative and quantitative evaluation of regularized PET image reconstruction
S Passalaqua, S Kappadath, D Branch, S Ross… - 2014 - Soc Nuclear Med
579 Objectives Iterative reconstruction techniques such as OSEM are characterized by a
tradeoff between bias and image noise while varying the number of iterations to reach …
tradeoff between bias and image noise while varying the number of iterations to reach …
Post-reconstruction PET resolution modelling by synthesised image reconstruction
L Vass, AJ Reader - 2021 IEEE Nuclear Science Symposium …, 2021 - ieeexplore.ieee.org
Resolution recovery techniques in PET aim to improve spatial resolution, signal-to-noise
ratio and quantitative accuracy. Whilst several factors are responsible for the degradation of …
ratio and quantitative accuracy. Whilst several factors are responsible for the degradation of …
Characterization of partial volume errors in PET through analytic simulation
2127 Objectives Quantitative PET imaging is confounded by reduced signal recovery for
features smaller than roughly 30 to 40 mm, often referred to as partial volume errors (PVEs) …
features smaller than roughly 30 to 40 mm, often referred to as partial volume errors (PVEs) …
Adaptive PSF modeling for enhanced heterogeneity quantification in oncologic PET imaging
479 Objectives Point-spread function (PSF) modeling, also known as resolution Modeling
(RM), is a reconstruction-based partial volume correction (PVC) method. Unlike post …
(RM), is a reconstruction-based partial volume correction (PVC) method. Unlike post …
Impact of point-spread function modeling on PET image quality in integrated PET/MR hybrid imaging
B Aklan, M Oehmigen, K Beiderwellen… - Journal of Nuclear …, 2016 - Soc Nuclear Med
The aim of this study was to systematically assess the quantitative and qualitative impact of
including point-spread function (PSF) modeling into the process of iterative PET image …
including point-spread function (PSF) modeling into the process of iterative PET image …
Impact of sensitivity map and noise equivalent counts on hyper-parameter selection for regularized image reconstruction
H Xie, Y Lv, Y Dong - 2019 - Soc Nuclear Med
454 Objectives: PET images are severely contaminated by Poisson noise due to low
sensitivity of PET scanner and limited acquisition time in clinical use. Penalized or …
sensitivity of PET scanner and limited acquisition time in clinical use. Penalized or …
Standard OSEM vs. regularized PET image reconstruction: qualitative and semi-quantitative comparison
1805 Objectives A PET image reconstruction tool (Q. Clear®) has been recently introduced
that allows more iterations of the raw PET data than the standard OSEM image …
that allows more iterations of the raw PET data than the standard OSEM image …
PSF overestimation improves PET image SUV quantification
1965 Objectives Point spread function (PSF) modeled PET image reconstruction (also
known as resolution modeling) improves resolution and contrast, yet may degrade …
known as resolution modeling) improves resolution and contrast, yet may degrade …