Maximum Likelihood Expectation-Maximization Algorithms Applied to Localization and Identification of Radioactive Sources with Recent Coded Mask Gamma Cameras

Conference · Wed Jul 01 00:00:00 EDT 2015

OSTI ID:22531413

Lemaire, H.; Barat, E.; Carrel, F.; Dautremer, T.; Dubos, S.; Limousin, O.; Montagu, T.; Normand, S.; Schoepff, V. ^[1]; Amgarou, K.; Menaa, N. ^[2]; Angelique, J. -C. ^[3]; Patoz, A. ^[4]

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1. CEA, Gif-sur-Yvette, F-91191 (France)
2. CANBERRA, 1, rue des Herons, Saint Quentin en Yvelines, F-78182 (France)
3. LPC, 6, boulevard du Marechal Juin, F-14050 (France)
4. CANBERRA, 10, route de Vauzelles, Loches, F-37600 (France)

In this work, we tested Maximum likelihood expectation-maximization (MLEM) algorithms optimized for gamma imaging applications on two recent coded mask gamma cameras. We respectively took advantage of the characteristics of the GAMPIX and Caliste HD-based gamma cameras: noise reduction thanks to mask/anti-mask procedure but limited energy resolution for GAMPIX, high energy resolution for Caliste HD. One of our short-term perspectives is the test of MAPEM algorithms integrating specific prior values for the data to reconstruct adapted to the gamma imaging topic. (authors)

• Research Organization: Institute of Electrical and Electronics Engineers - IEEE, 3 Park Avenue, 17th Floor, New York, N.Y. 10016-5997 (United States)
• OSTI ID: 22531413
• Report Number(s): ANIMMA-2015-IO-373; TRN: US16V0366102354
• Resource Relation: Conference: ANIMMA 2015: 4. International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications, Lisboa (Portugal), 20-24 Apr 2015; Other Information: Country of input: France; 8 Refs.
• Country of Publication: United States
• Language: English

Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
97 MATHEMATICAL METHODS AND COMPUTING
ALGORITHMS
BIOMEDICAL RADIOGRAPHY
ENERGY RESOLUTION
GAMMA CAMERAS
MAXIMUM-LIKELIHOOD FIT
NOISE
RADIATION SOURCES