Metallic artifacts removal in breast CT images for treatment planning in radiotherapy by means of supervised and unsupervised neural network algorithms

Authors:
V. Bevilacqua;A. Aulenta;E. Carioggia;G. Mastronardi;F. Menolascina;G. Simeone;A. Paradiso;A. Scarpa;D. Taurino
Affiliations:
Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Bari, Italy;Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Bari, Italy;I.R.C.C.S., Istituto Tumori "Giovanni Paolo II", Bari, Italy;Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Bari, Italy;Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Bari, Italy and I.R.C.C.S., Istituto Tumori "Giovanni Paolo II", Bari, Italy;I.R.C.C.S., Istituto Tumori "Giovanni Paolo II", Bari, Italy;I.R.C.C.S., Istituto Tumori "Giovanni Paolo II", Bari, Italy;Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Bari, Italy;Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Bari, Italy
Venue:
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Year:
2007

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Abstract

In this paper medical applications of supervised and unsupervised neural networks image processing algorithms are presented and discussed by means of quantitative experimental results in the field of radiotherapy. The investigated case study concerns the problems and the consequent solutions referred to the two phases of the treatment plan necessary after the quadrantectomy of a cohort of patients affected by breast cancer.