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Volumn 604, Issue 1-2, 2009, Pages 366-369

High-precision position estimation in PET using artificial neural networks

Author keywords

Anger's logic; Artificial neural networks; Incidence position estimation; Multi layer perceptron; Positron emission tomography

Indexed keywords

ANGER'S LOGIC; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; GAMMA PHOTONS; HIGH-PRECISION POSITION; INCIDENCE POSITION ESTIMATION; LIGHT DISTRIBUTION; MULTI-LAYER PERCEPTRON; NON-LINEARITY; PET DETECTORS; POSITION ESTIMATION; POSITIONING METHODS; SCINTILLATOR CRYSTALS; SPATIAL RESOLUTION; SYSTEM-SETUP; UNIFORM FIELDS; USEFUL FIELD OF VIEW;

EID: 65749116016     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nima.2009.01.058     Document Type: Article
Times cited : (10)

References (17)
  • 5
    • 65749115081 scopus 로고    scopus 로고
    • F. Mateo, et al., in: F. Sandoval, et al., (Eds.), Lecture Notes in Computer Science, 4507, Springer, Berlin, 2007.
    • F. Mateo, et al., in: F. Sandoval, et al., (Eds.), Lecture Notes in Computer Science, vol. 4507, Springer, Berlin, 2007.
  • 16
    • 0004109478 scopus 로고
    • Rprop-description and implementation details
    • Technical Report, University of Karlsruhe
    • M. Riedmiller, Rprop-description and implementation details, Technical Report, University of Karlsruhe, 1994.
    • (1994)
    • Riedmiller, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.