SPECT image system optimization using ideal observer for detection and localization

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6917, Issue , 2008, Pages

  Zhou, Lili ^a   Gindi, Gene ^a,b  

^a STONY BROOK UNIVERSITY   (United States)

^b Stony Brook University   (United States)

Author keywords

ALROC; AROC; Detection and Localization; Ideal observer; SPECT

Indexed keywords

AEROSPACE APPLICATIONS; COMPUTATIONAL COMPLEXITY; COMPUTER NETWORKS; DIGITAL IMAGE STORAGE; IMAGING SYSTEMS; MATHEMATICAL MODELS; MEDICAL IMAGING; MULTITASKING; OPTICAL INSTRUMENTS; OPTICS; OPTIMIZATION; OPTOELECTRONIC DEVICES; SIGNAL DETECTION; SIGNAL PROCESSING; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY; TECHNOLOGICAL FORECASTING; TECHNOLOGY; THERMOGRAPHY (TEMPERATURE MEASUREMENT); VARIATIONAL TECHNIQUES;

(ALGORITHMIC) COMPLEXITY; FIGURES OF MERIT (FOM); HIGH EFFICIENCY; HIGHER RESOLUTION; IDEAL OBSERVERS; IMAGE PERCEPTION; LOW RESOLUTION (LR); OBSERVER PERFORMANCES; PINHOLE IMAGING; SIGNAL LOCATIONS; SIMPLE MODELING; SIMPLIFIED MODELS; SINOGRAM DATA; SPECT IMAGING; SYSTEM OPTIMIZATIONS; TECHNOLOGY ASSESSMENT (TA); TOMOGRAPHIC; TOMOGRAPHIC IMAGING;

IMAGING TECHNIQUES;

EID: 42649097482     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.770676     Document Type: Conference Paper

References (10)

1. H. C. Gifford, M. A. King, P. H. Pretorius, and R. G. Wells, "A comparison of human and model observers in multislice LROC studies," IEEE Trans. Med. Imaging 24, pp. 160-169, Feb. 2005.
2. K. J. Myers, J. P. Rolland, H. H. Barrett, and R. F. Wagner, "Aperture optimization for emission imaging: Effect of a spatially varying background," J. Optical Soc. America A 7, pp. 1279-1293, July 1990.
3. B. Tsui, C. E. Metz, F. B. Atkins, S. J. Starr, and R. N. Beck, "A comparison of optimum detector spatial resolution in nuclear imaging based on statistical theory and on observer performance," Phys. Med. Biol. 23(4), pp. 654-676, 1978.
4. X. He, B. S. Caffo, and E. C. Frey, "Markov chain monte carlo (MCMC) based ideal observer estimation using a parameterized phantom and a pre-calculated dataset," in Proc. of SPIE, Medical Imaging, 6515, p. 651516, Feb. 2007.
5. M. A. Kupinski, J. W. Hoppin, E. Clarkson, and H. H. Barrett, "Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniques," J. Optical Soc. America A 20, pp. 430-438, March 2003.
6. P. Khurd and G. Gindi, "Decision strategies that maximize the area under the LROC curve," IEEE Trans. Med. Imaging 24, pp. 1626-1636, Dec. 2005.
7. P. Khurd, L. Zhou, A. Rangarajan, and G. Gindi, "Aperture optimization in emission imaging using optimal lroc observers," in IEEE Nuc. Sci. Symp. Med. Imaging Conf., pp. 1703-1710, Oct. 2006.
8. L. Zhou, P. Khurd, S. Kulkarni, A. Rangarajan, and G. Gindi, "Optimization of pinhole imaging system using ideal observer for detection and localization," in IEEE Nuc. Sci. Symp. Med. Imaging Conf., pp. 39783985, Oct. 2007.
9. D. L. Gunter, Emission Tomography: The Fundamentals of PET and SPECT, ch. 8 Collimator Design for Nuclear Medicine, pp. 153-168. Elsevier Academic Press, 2004.
10. S. Park, E. Clarkson, M. A. Kupinski, and H. H. Barrett, "Efficiency of the human observer detecting random signals in random backgrounds," J. Optical Soc. America A 22, pp. 3-16, Jan. 2005.