title: Fiducial markers configuration optimization in image-guided surgery.
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.
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China Key Laboratory of Medical Imaging Computing (Ministry of Education), Northeastern University, Shenyang, China.
authors.forename: Nan
authors.initials: N
authors.lastname: Bao
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Yue
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China Key Laboratory of Medical Imaging Computing (Ministry of Education), Northeastern University, Shenyang, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Li
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Zhiming
authors.initials: Z
authors.lastname: Cui
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Jinfeng
authors.initials: J
authors.lastname: Zhuang
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Shi
authors.initials: S
authors.lastname: Tian
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China Key Laboratory of Medical Imaging Computing (Ministry of Education), Northeastern University, Shenyang, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Kang
mesh_terms: D000465:Algorithms; D057918:Fiducial Markers; D019047:Phantoms, Imaging; D011856:Radiographic Image Enhancement / Q000295:instrumentation* / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000295:instrumentation* / Q000379:methods*
keywords: Image guided surgery; fiducial markers; number and distribution; registration; target registration error