Research Topics
| DAN KADRMASSummaryAffiliation: University of Utah Country: USA Publications
Research Grants
| Collaborators
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Detail Information
Publications
Single-scan dual-tracer FLT+FDG PET tumor characterizationDan J Kadrmas
Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, USA
Phys Med Biol 58:429-49. 2013..We conclude that rapid dual-tracer FLT+FDG tumor imaging is feasible and can provide quantitative tumor imaging measures comparable to those from conventional separate-scan imaging...
Estimating myocardial perfusion from dynamic contrast-enhanced CMR with a model-independent deconvolution methodNathan A Pack
Department of Bioengineering, University of Utah, Salt Lake City, Salt Lake County, Utah, USA
J Cardiovasc Magn Reson 10:52. 2008..We investigated these questions with a model-independent analysis method that uses iterative minimization and a temporal smoothness regularizer. Perfusion estimates using this method were compared to results from dynamic 13N-ammonia PET...
LOR-OSEM: statistical PET reconstruction from raw line-of-response histogramsDan J Kadrmas
Utah Center for Advanced Imaging Research, Department of Radiology, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108 1218, USA
Phys Med Biol 49:4731-44. 2004..LOR-OSEM is a viable alternative to AW-OSEM for histogram-based reconstruction with improved spatial resolution and noise properties...
Rotate-and-slant projector for fast LOR-based fully-3-D iterative PET reconstructionDan J Kadrmas
Department of Radiology, Utah Center for Advanced Imaging Research, 729 Arapeen Drive, University of Utah, Salt Lake City, UT 84108, USA
IEEE Trans Med Imaging 27:1071-83. 2008..We conclude that the rotate-and-slant projector is a viable option for fully-3-D PET, offering quality statistical reconstruction in times only marginally slower than 2-D or rebinning methods...
Experimental comparison of lesion detectability for four fully-3D PET reconstruction schemesDan J Kadrmas
Department of Radiology, Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT 84108 USA
IEEE Trans Med Imaging 28:523-34. 2009..These results show improved lesion detection performance for the reconstruction algorithms with more sophisticated statistical and imaging models as compared to the previous-generation algorithms...
Impact of time-of-flight on PET tumor detectionDan J Kadrmas
UCAIR, Department of Radiology, University of Utah, Salt Lake City, Utah 84108, USA
J Nucl Med 50:1315-23. 2009..This information is then utilized to improve the tomographic reconstruction. This work evaluates the effect of TOF upon an observer's performance for detecting and localizing focal warm lesions in noisy PET images...
Comparative evaluation of lesion detectability for 6 PET imaging platforms using a highly reproducible whole-body phantom with (22)Na lesions and localization ROC analysisDan J Kadrmas
Medical Imaging Research Laboratory, Department of Radiology, University of Utah, Salt City 84108, USA
J Nucl Med 43:1545-54. 2002..The lesion detectability performance of 6 PET imaging platforms has been compared using a highly reproducible whole-body phantom and localization receiver operating characteristic (LROC) analysis...
Evaluation of rapid dual-tracer (62)Cu-PTSM + (62)Cu-ATSM PET in dogs with spontaneously occurring tumorsNoel F Black
Utah Center of Advanced Imaging Research, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108 1218, USA
Phys Med Biol 53:217-32. 2008..Rapid multi-tracer PET has the potential to improve tumor assessment for image-guide therapy and monitoring, and further investigation with these and other tracers is warranted...
Closed-form kinetic parameter estimation solution to the truncated data problemGengsheng L Zeng
Utah Center for Advanced Imaging Research UCAIR, Department of Radiology, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108, USA
Phys Med Biol 55:7453-68. 2010..For simplicity, the proposed method is presented and verified using a single compartment model with computer simulations using both noiseless and noisy projections...
Research Grants
- Statistical PET Image ReconstructionDAN KADRMAS; Fiscal Year: 2007..The improvements in image quality offered by this research will broadly impact all applications of PET imaging, with specific benefit for tumor detection and quantitation. ..
- Multi-tracer PET Tumor ImagingDAN KADRMAS; Fiscal Year: 2009..This project will develop new and improved methods of characterizing tumors by PET imaging with multiple tracers, providing a new and greatly improved means of selecting the best treatment option for individual patients. ..
- Multi-tracer PET Tumor ImagingDan J Kadrmas; Fiscal Year: 2010..This project will develop new and improved methods of characterizing tumors by PET imaging with multiple tracers, providing a new and greatly improved means of selecting the best treatment option for individual patients. ..
- Multi-tracer PET Tumor ImagingDan J Kadrmas; Fiscal Year: 2011..This project will develop new and improved methods of characterizing tumors by PET imaging with multiple tracers, providing a new and greatly improved means of selecting the best treatment option for individual patients. ..
