Feasibility of fully automated detection of fiducial markers implanted into the prostate using electronic portal imaging: A comparison of methods

被引:27
作者
Harris, Emma J.
McNair, Helen A.
Evans, Phillip M.
机构
[1] Inst Canc Res, Joint Dept Phys, Sutton SM2 5PT, Surrey, England
[2] Royal Marsden NHS Fdn Trust, Dept Radiotherapy, Sutton, Surrey, England
来源
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2006年 / 66卷 / 04期
关键词
fiducial marker; radiotherapy; motion; automatic detection; electronic portal imaging;
D O I
10.1016/j.ijrobp.2006.07.1363
中图分类号
R73 [肿瘤学];
学科分类号
100214 [肿瘤学];
摘要
Purpose: To investigate the feasibility of fully automated detection of fiducial markers implanted into the prostate using portal images acquired with an electronic portal imaging device. Methods and Materials: We have made a direct comparison of 4 different methods (2 template matching-based methods, a method incorporating attenuation and constellation analyses and a cross correlation method) that have been published in the literature for the automatic detection of fiducial markers. The cross-correlation technique requires a-priory information from the portal images, therefore the technique is not fully automated for the first treatment fraction. Images of 7 patients implanted with gold fiducial markers (8 mm in length and I mm in diameter) were acquired before treatment (set-up images) and during treatment (movie images) using 1MU and 15MU per image respectively. Images included: 75 anterior (AP) and 69 lateral (LAT) set-up images and 51 AP and 83 LAT movie images. Using the different methods described in the literature, marker positions were automatically identified. Results: The method based upon cross correlation techniques gave the highest percentage detection success rate of 99% (AP) and 83% (LAT) set-up (1MU) images. The methods gave detection success rates of less than 91% (AP) and 42% (LAT) set-up images. The amount of a-priory information used and how it affects the way the techniques are implemented, is discussed. Conclusions: Fully automated marker detection in set-up images for the first treatment fraction is unachievable using these methods and that using cross-correlation is the best technique for automatic detection on subsequent radiotherapy treatment fractions. (c) 2006 Elsevier Inc.
引用
收藏
页码:1263 / 1270
页数:8
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