Title :
Quantitative Image Reconstruction for the RatCAP PET Tomograph
Author :
Southekal, Sudeepti S. ; Purschke, Martin ; Park, Sang-June ; Junnarkar, Sachin S. ; Pratte, Jean-Francois ; Stoll, Sean P. ; Schlyer, David J. ; Woody, Craig L. ; Vaska, Paul
Author_Institution :
Dept. of Biomed. Eng., Stony Brook Univ., NY
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
The RatCAP is a miniaturized, head-mounted PET scanner designed to image the brain of conscious rats. This eliminates the need for anesthesia which is known to severely depress brain function. The small field of view of the RatCAP allows a highly accurate Monte Carlo based system matrix for fully 3D maximum likelihood image reconstruction. A number of issues have been addressed in an attempt to realize the full potential of quantitative imaging with RatCAP, including corrections for detector efficiencies, random coincidences, photon scatter and attenuation. In particular, a new method to correct for scatter originating outside the field of view is presented, which takes advantage of the RatCAP iterative reconstruction framework. Preliminary results show significant qualitative and quantitative improvements in the bias and variance of the data.
Keywords :
Monte Carlo methods; biomedical imaging; brain; image reconstruction; maximum likelihood estimation; positron emission tomography; 3D maximum likelihood image reconstruction; Monte Carlo based system matrix; RatCAP PET tomograph; RatCAP iterative reconstruction; anesthesia; brain function; detector efficiency; head-mounted PET scanner; photon attenuation; photon scatter; quantitative image reconstruction; random coincidence; Anesthesia; Attenuation; Detectors; Electromagnetic scattering; Image reconstruction; Maximum likelihood detection; Monte Carlo methods; Particle scattering; Positron emission tomography; Rats;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2006. IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0560-2
Electronic_ISBN :
1095-7863
DOI :
10.1109/NSSMIC.2006.356445