Value of exercise data for the interpretation of myocardial perfusion SPECT

Journal of Nuclear Cardiology

Volumn 9, Issue 2, 2002, Pages 169-173

  Haraldsson, Henrik ^a   Ohlsson, Mattias ^a   Edenbrandt, Lars ^a  

^a LUND UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Artificial intelligence; Computer assisted diagnosis; Ischemic heart disease; Neural networks

Indexed keywords

ADULT; AGED; ANAMNESIS; ANGIOCARDIOGRAPHY; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; ELECTROCARDIOGRAPHY; EXERCISE TEST; FEMALE; HEART MUSCLE ISCHEMIA; HEART MUSCLE PERFUSION; HEART SCINTISCANNING; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; REST; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; STANDARD;

EID: 0036521098     PISSN: 10713581     EISSN: None     Source Type: Journal    
DOI: 10.1067/mnc.2002.120161     Document Type: Article

References (13)

1. Fujita H, Katafuchi T, Uehara T, Nishimura T. Application of artificial neural network to computer-aided diagnosis of coronary artery disease in myocardial SPECT bull's-eye images. J Nucl Med 1992;33:272-6.
2. Porenta G, Dorffner G, Kundrat S, Petta P, Duit-Schedlmayer J, Sochor H. Automated interpretation of planar thallium-201-dipyridamole stress-redistribution scintigrams using artificial neural networks. J Nucl Med 1994;35:2041-7.
3. Hamilton D, Riley PJ, Miola UJ, Amro AA. A feed forward network for classification of bull's-eye myocardial perfusion images. Eur J Nucl Med 1995;22:108-15.
4. Lindahl D, Palmer J, Ohlsson M, Peterson C, Lundin A, Edenbrandt L. Automated interpretation of SPECT myocardial perfusion images using artificial neural networks. J Nucl Med 1997;38:1870-5.
5. Lindahl D, Lanke J, Lundin A, Palmer J, Edenbrandt L. Improved classifications of myocardial bull's-eye scintigrams with computer-based decision support system. J Nucl Med 1999; 40:96-101.
6. Lindahl D, Toft J, Hesse B, Palmer J, Ali S, Lundin A, et al. Scandinavian test of artificial neural network for classification of myocardial perfusion images. Clin Physiol 2000;20:253-61.
7. Järund A, Edenbrandt L, Ohlsson M, Borälv E. Internet based artificial neural networks for the interpretation of medical images. In: Malmgren H, Borga M, Niklasson L, eds. Artificial neural networks in medicine and biology. Springer-Verlag: London, 2000:p. 87-92.
8. Åstrand I. Aerobic work capacity in men and women with special reference to age. Acta Physiol Scand 1960;49.
9. Neal RM. Bayesian training of backpropagation networks by the hybrid Monte Carlo method. Technical report CRG-TR-92-1. Toronto, Ontario, Canada: Department of Computer Science, University of Toronto; 1992.
10. Neal RM. Software for flexible Bayesian modeling and Markov chain sampling. Available at http://www.cs.toronto.edu/-radford/fbmsoftware.html. Accessed October 1, 2000.
11. Neal RM. Bayesian learning for neural networks [PhD thesis]. Toronto, Ontario, Canada: Department of Computer Science, University of Toronto; 1995.
12. Nordenfelt I, Adolfsson L, Nilsson JE, Olsson S. Reference values for exercise tests with continuous increase in load. Clin Physiol 1985;5:161-72.
13. Wehrens R, Putter H, Buydens LMC. The bootstrap. a tutorial. Chemom Intell Lab Syst 2000;54:35-52.