DocumentCode :
24566
Title :
Evaluation of Stretcher Alignment in Radiotherapy using Computed Tomography
Author :
Velasques, M.F. ; Graffigna, Juan Pablo ; Aguero, H. ; Holeywell, P.M.
Author_Institution :
Univ. Nac. de San Juan (UNSJ), San Juan, Argentina
Volume :
11
Issue :
1
fYear :
2013
fDate :
Feb. 2013
Firstpage :
201
Lastpage :
206
Abstract :
Currently, a wider and more frequent use of Computed Tomography (CT) volumes are used for planning the radiotherapy treatment of oncological patients. These image volumes are instrumental in positioning the patient and the precise incidence of radiation fields. Any error in such a process will adversely affect the result of the treatment and, consequently, the health of the patient. Therefore, quality control is mandatory throughout this process. As regards image acquisition, the controls are typically executed manually, implying a tedious repetitive task. This problem spurred the need to develop an algorithm that allows eliminating this issue while it evaluates and corrects the main concern as well. Particularly, an algorithm for automatic control of the entire positioning process is proposed here which prevents errors from deviation on both the longitudinal and transversal axes of the arrangement. The alignment will vary according to the anatomical part to be treated and the type of stretcher support, among other aspects. The application was developed by resorting to free software tools (GLP) and the libraries for processing, segmenting and recording of medical images (ITK). The algorithm detects these deviations on both axes by applying threshold methods, morphologic operations and Hough´s Transform. This algorithm is currently operative in the Medical Image Processing Server of the Nuclear Medicine School Foundation (FUESMEN) of Mendoza, Argentina.
Keywords :
computerised tomography; image segmentation; medical image processing; radiation therapy; FUESMEN; Hough´s Transform; automatic positioning process control; computed tomography; free software tools; image volume; medical image recording; medical image segmentation; oncological patient; radiotherapy; stretcher alignment; Computed tomography; DICOM; Head; Image edge detection; Planning; Quality control; Medical Image Processing; Quality Control; Radiotherapy;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2013.6502803
Filename :
6502803
Link To Document :
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