A neural network regression model for relative dose computation

Physics in Medicine and Biology

Volumn 45, Issue 4, 2000, Pages 913-922

  Wu, Xingen ^a   Zhu, Yunping ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; DOSE CALCULATION; DOSIMETRY; PRIORITY JOURNAL; RADIATION DOSE; REGRESSION ANALYSIS;

LINEAR MODELS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); RADIOTHERAPY PLANNING, COMPUTER-ASSISTED;

EID: 0034036209     PISSN: 00319155     EISSN: None     Source Type: Journal    
DOI: 10.1088/0031-9155/45/4/307     Document Type: Article

References (22)

1. Ahuja S D, Stroup S L and Bolin M G 1980 Semi-empirical model for depth dose distributions of megavoltage x-ray beams Med. Phys. 7 537-44
2. Ayyangar K, Daftari I, Palta J and Suntharalingam N 1989 Optimization of parameters for fitting linear accelerator photon beams using a modified CBEAM model Med. Phys. 16 896-901
3. Batliti R 1992 First- and second-order methods for learning: between steepest descent and Newton's method Neural Comput. 4 141-66
4. Bentel G C (ed) 1996 Radiation Therapy Planning: Including Problems and Solutions 2nd edn (New York: McGraw-Hill)
5. Bielajew A F and Rogers D W O 1992 A standard timing benchmark for EGS4 Monte Carlo calculations Med. Phys. 19 303-4
6. Charalambous C 1992 Conjugate gradient algorithm for efficient training of artificial neural networks IEEE Proc. G 139 301
7. Chauvin Y 1989 A back-propagation algorithm with optimal use of hidden units Adv. Neural Information Processing Syst. 1 519-26
8. Drago G P and Ridella S 1991 An optimum weights initialization for improving scaling relationship in BP learning ICANN-91: Int. Conf. on Artificial Neural Networks (Espoo, 1991) 1519
9. Giles C L and Maxwell T 1987 Learning, invariance, and generalization in higher-order neural networks Appl. Opt. 26 4972-8
10. Holmes M A, Mackie T R, Sohn W, Reckwerdt P J, Kinsella T J, Bielajew A F and Rogers D W O 1993 The application of correlated sampling to the computation of electron beam dose distributions in heterogeneous phantoms using the Monte Carlo method Phys. Med. Biol. 38 675-88
11. Johansson E M, Dowla F U and Goodman DM 1991 Backpropagation learning for multilayer feed-forward networks using the conjugate gradient methods Int. J. Neural Syst. 2 291-301
12. Johns H E and Cunningham J R 1983 The Physics of Radiology 4th edn (Springfield, IL: Thomas) p 371
13. Johnson D A, Ikoro N C, Chang C H, Scarbrough E C and Antich P P 1987 Properties of the 18-MV photon beam from a dual energy linear accelerator Med. Phys. 14 1071-8
14. Klassen M, Pao Y H and Chen V 1988 Characteristics of the functional-link net: a higher order delta rule net Int. Conf. on Neural Networks (San Diego, CA, 1988) pp 24-7
15. Mantel J, Perry H and Weinkam J J 1979 X-ray depth-dose characteristics of the Toshiba LMR-16 Med. Phys. 6 95-9
16. McClelland J L and Rumelhart D E 1988 Exploration in Parallel Distributed Processing (Cambridge, MA: MIT Press)
17. Mirchandini G and Cao W 1989 On hidden units in neural nets IEEE Trans. Circuit Syst. 36 661-4
18. Palta J R, Meyer J A and Hogstrom K R 1984 Dosimetric characterization of the 18-MV photon beam from the Siemens Mevatron 77 linear accelerator Med. Phys. 11 717-24
19. Rumelhart D E and McClelland J L (eds) 1990 Parallel Distributed Processing (Cambridge, MA: MIT Press)
20. Strydom W J 1982 Formulae for the determination of percentage depth dose of 8 and 16 megavolt x-rays by means of a computer S. Afr. Med. J. 62 437-40
21. Suh T S, Bova F J, Yoon S C, Choe B Y, Kim M C, Shinn K S, Bahk Y W, Ha S W and Park C I 1996 Computer-aided design optimization with the use of a fast dose model for linear-accelerator-based stereotactic radiosurgery Phys. Med. Biol. 41 675-96
22. Vogl T P, Mangis J K, Rigler A K, Zink W T and Alkon D L 1988 Accelerating the convergence of the back propagation method Biol. Cybernet. 59 257-63