Impact of instrumentation parameters on the performance of neural network based positioning algorithms for monolithic scintillator blocks

IEEE Nuclear Science Symposium Conference Record

Volumn 6, Issue , 2007, Pages 4266-4270

  Bruyndonckx, Peter ^a,b   Li, Z ^a,b   Lemaitre, Cedric ^a,b   Perez, Jose M ^a,c   Rato, Pedro ^a,c   Sehaart, Dennis ^a,d   Maas, M ^a,d   Van Der Laan, D J ^a,d   Tavernier, Stefaan ^a,b   Yonggang, Wang ^a,e  

^a Crystal Clear Collaboration ^*

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^c CIEMAT   (Spain)

^d DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^e UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

INSTRUMENTS; LAWS AND LEGISLATION; LIGHT EMISSION; LUMINESCENCE; MEDICAL IMAGING; MONTE CARLO METHODS; NEURAL NETWORKS; PARTICLE BEAMS; SCINTILLATION; SCINTILLATION COUNTERS;

FWHM RESOLUTION; INSTRUMENTATION PARAMETERS; LIGHT DISTRIBUTIONS; LIMITING FACTORS; MONTE CARLO SIMULATION; NETWORK BASED; NUCLEAR SCIENCES; OPTIMAL LEVELS; PHOTON BEAMS; POSITIONING ALGORITHMS; SCINTILLATOR BLOCKS; STEP-SIZE;

IMAGING TECHNIQUES;

EID: 48149115512     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2007.4437059     Document Type: Conference Paper

References (8)

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