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Volumn 48, Issue 3 II, 2001, Pages 883-889

Cross-validation stopping rule for ML-EM reconstruction of dynamic PET series: Effect on image quality and quantitative accuracy

Author keywords

Cross validation; Image reconstruction; Image sequence analysis; Iterative methods; Maximum likelihood estimation; Positron emission tomography (PET); Stopping rule

Indexed keywords

COMPUTATIONAL METHODS; GLUCOSE; IMAGE ANALYSIS; IMAGE COMMUNICATION SYSTEMS; IMAGE ENHANCEMENT; IMAGE QUALITY; ITERATIVE METHODS; MAXIMUM LIKELIHOOD ESTIMATION; METABOLISM; OPTICAL RESOLVING POWER; POSITRON EMISSION TOMOGRAPHY; STATISTICAL TESTS;

EID: 0035354934     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/23.940180     Document Type: Conference Paper
Times cited : (32)

References (16)
  • 7
    • 0026103813 scopus 로고
    • A cross-validation procedure for stopping the EM algorithm and deconvolution of neutron depth profiling spectra
    • (1991) IEEE Trans. Nucl. Sci. , vol.38 , Issue.1 , pp. 9-15
    • Coakley, K.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.