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Robust and Fast Initialization for Intensity-Based 2D/3D Registration
Author(s) -
Shao Zhenzhou,
Han Jianda,
Liang Wei,
Tan Jindong,
Guan Yong
Publication year - 2014
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
ISSN - 1687-8132
DOI - 10.1155/2014/989254
Subject(s) - initialization , computer science , image registration , range (aeronautics) , imaging phantom , artificial intelligence , computer vision , tracking (education) , transformation (genetics) , nuclear medicine , image (mathematics) , medicine , psychology , pedagogy , biochemistry , chemistry , materials science , composite material , gene , programming language
Intensity-based 2D/3D registration is a key technique using digitally reconstructed radiographs (DRRs) to register the preoperative volume to the patient setup during the operation. Although DRR-based method provides a high accuracy, the small capture range hinders its clinical use. In this paper, such problem was addressed by a robust and fast initialization method using a two-level scheme including automatic tracking-based initialization (Level I) and multiresolution estimation based on central-slice theorem and phase correlation (Level II). It provided almost optimal transformation parameters for intensity-based registration. Experiments using a public gold standard data set and a spinal phantom have been conducted. The mean target registration error (mTRE) was limited in the range from 2.12 mm to 22.57 mm after tracking-based initialization. The capture range based on level II only was 20.1 mm and the mTRE in this capture range was 2.92 ± 2.21 mm. The intensity-based 2D/3D registration using proposed two-level initialization achieved the successful rate of 84.8% with the average error of 2.36 mm. The experimental results showed that the proposed method yielded the robust and fast initialization for intensity-based registration methods. In a similar way, it can be applied to other registration methods to enable a larger capture range and robust implementation.

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