System matrix parameterization for HRRT reconstruction
468 Objectives To achieve optimal HRRT listmode reconstruction, we developed a method
to derive a component-based system matrix which was implemented as a large table of point …
to derive a component-based system matrix which was implemented as a large table of point …
Quantitative accuracy of HRRT list-mode reconstructions: effect of low statistics
B Planeta-Wilson, J Yan, T Mulnix… - 2008 IEEE Nuclear …, 2008 - ieeexplore.ieee.org
Previous studies showed that iterative image reconstruction algorithms may produce
overestimations of activity in low-activity regions in low-count frames. The purpose of this …
overestimations of activity in low-activity regions in low-count frames. The purpose of this …
Count rate dependent component-based normalization for the HRRT
M Rodriguez, WC Barker, J San Liow, S Thada… - 2006 - Soc Nuclear Med
566 Objectives: The HRRT is a brain PET system with dual layer detectors (LSO/LYSO),
119808 crystals and 4.5 x10 9 lines of response (LORs). We previously developed a …
119808 crystals and 4.5 x10 9 lines of response (LORs). We previously developed a …
Design of a motion-compensation OSEM list-mode algorithm for resolution-recovery reconstruction for the HRRT
RE Carson, WC Barker, JS Liow… - 2003 IEEE Nuclear …, 2003 - ieeexplore.ieee.org
The HRRT PET system has the potential to produce human brain images with resolution
better than 3 mm. To achieve the best possible accuracy and precision, we have designed …
better than 3 mm. To achieve the best possible accuracy and precision, we have designed …
Validation of the spatially variant probability density functions for the HRRT
Y Jian, R Yao, T Mulnix… - 2011 IEEE Nuclear …, 2011 - ieeexplore.ieee.org
The probability density function (PDF) is a new concept of modeling the spatial dependence
of the system response. In iterative reconstruction algorithms, the PDF plays the same …
of the system response. In iterative reconstruction algorithms, the PDF plays the same …
List-mode reconstruction with system modeling derived from projections
AJ Reader, FC Sureau, C Comtat… - IEEE Nuclear …, 2005 - ieeexplore.ieee.org
Image reconstruction direct from list-mode data can preserve and utilize all the precision and
accuracy of the substantial volume of data acquired by high resolution dynamic emission …
accuracy of the substantial volume of data acquired by high resolution dynamic emission …
Image-based spatially variant and count rate dependent point spread function on the HRRT
FA Kotasidis, GI Angelis… - … on Nuclear Science, 2014 - ieeexplore.ieee.org
Spatial resolution on the High Resolution Research Tomograph (HRRT) is of high
importance, due to the need for accurate quantification of small brain structures. Thus …
importance, due to the need for accurate quantification of small brain structures. Thus …
High resolution image reconstruction and resolution modeling: first human scan with the NeuroEXPLORER
P1471 Introduction: A high spatial resolution and high sensitivity dedicated brain PET
tomograph, the NeuroEXPLORER (NX), has successfully been designed and built. The …
tomograph, the NeuroEXPLORER (NX), has successfully been designed and built. The …
Fully 3D Bayesian image reconstruction for the ECAT EXACT HR+
A fully 3D Bayesian method is described for high resolution reconstruction of images from
the Siemens/CTI ECAT EXACT HR+ whole body positron emission tomography (PET) …
the Siemens/CTI ECAT EXACT HR+ whole body positron emission tomography (PET) …
[PDF][PDF] Model-based iterative reconstruction with a Gaussian mixture MRF prior for X-ray CT
R Zhang, D Pal, JB Thibault… - Proc. 13th Int. Mtg …, 2015 - engineering.purdue.edu
Markov random fields (MRFs) have been broadly used as prior models in tomographic
reconstruction problems since they provide a simple and often effective way to model the …
reconstruction problems since they provide a simple and often effective way to model the …