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Fiducial markers configuration optimization in image-guided surgery

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Bao, Nan; | Chen, Yu | Yue, Yong | Li, Hong; | Cui, Zhiming | Zhuang, Jinfeng | Tian, Shi | Kang, Yan; ;

Affiliations: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China | Key Laboratory of Medical Imaging Computing (Ministry of Education), Northeastern University, Shenyang, China | Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China

Note: [] Corresponding author: Yan Kang, Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. Tel.: +86-24-83676663; Fax: +86-24-83681955; E-mail: [email protected].

Keywords: Image guided surgery, target registration error, registration, fiducial markers, number and distribution

DOI: 10.3233/BME-141159

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3361-3371, 2014

Published: 2014
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Abstract

The rigid registration is a key step of Image Guided Surgery (IGS), and the point-pair method is the main way used for registration. However the configuration of fiducial points has a great influence on the registration accuracy at the target point. Now almost all the optimization method of fiducial points configuration relies on the empirical simulation-based Fitzpatrick's target registration error (TRE). In this paper, a phantom and some markers were designed and some experiments were conducted to measure and compare the affecting factors on the registration. By the markers repeated selections, the fiducial location error (FLE) has a small deviation of maximum 0.4 mm, and the average of the Fitzpatrick's TRE (F-TRE) has almost 86% proportion to the average of the actual TRE (A-TRE), but the standard deviation (STD) just has 7% proportion. Also, the experiment result showed that six fiducial markers already had the 86% accuracy, and spreading the fiducial markers led to 30% reduction in mean of A-TRE and 40% reduction in STD of A-TRE comparing with the centralized. Overall, to find a strategy of optimization, reducing the TRE has the great meaning to support safer and more accurate minimally IGS procedures.

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