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BioMed Research International
Volume 2013, Article ID 236315, 12 pages
http://dx.doi.org/10.1155/2013/236315
Research Article

Nonrigid Image Registration in Digital Subtraction Angiography Using Multilevel B-Spline

Digital Signal Processing Research Laboratory, Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran

Received 10 April 2013; Accepted 29 June 2013

Academic Editor: Venkatesh Mani

Copyright © 2013 Mansour Nejati et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Mansour Nejati, and Hossein Pourghassem, “Multiresolution Image Registration in Digital X-Ray Angiography with Intensity Variation Modeling,” Journal of Medical Systems, vol. 38, no. 2, 2014. View at Publisher · View at Google Scholar
  • Bin Wang, Weiling Hu, Jiquan Liu, Jianmin Si, and Huilong Duan, “Gastroscopic Image Graph: Application to Noninvasive Multitarget Tracking under Gastroscopy,” Computational and Mathematical Methods in Medicine, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
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  • Aboozar Ghaffari, and Emad Fatemizadeh, “RISM: Single-Modal Image Registration via Rank-Induced Similarity Measure,” Ieee Transactions On Image Processing, vol. 24, no. 12, pp. 5567–5580, 2015. View at Publisher · View at Google Scholar
  • Christiane S. Burton, John R. Mayo, Ian A. Cunningham, Christiane S. Burton, John R. Mayo, and Ian A. Cunningham, “Theoretical and experimental comparison of image signal and noise for dual-energy subtraction angiography and conventional x-ray angiography,” Medical Imaging 2015: Physics Of Medical Imaging, vol. 9412, 2015. View at Publisher · View at Google Scholar
  • Christiane S. Burton, John R. Mayo, and Ian A. Cunningham, “Energy subtraction angiography is comparable to digital subtraction angiography in terms of iodine Rose SNR,” Medical Physics, vol. 43, no. 11, pp. 5925–5933, 2016. View at Publisher · View at Google Scholar
  • Takashi Ohnishi, Yuya Takano, Hideyuki Kato, Yoshihiko Ooka, and Hideaki Haneishi, “Respiratory-synchronized digital subtraction angiography based on a respiratory phase matching method,” Signal, Image and Video Processing, 2017. View at Publisher · View at Google Scholar
  • Bin Liu, Wenpeng Liu, Mingzhe Wang, Bingbing Zhang, Zongge Yue, Qianfeng Jiang, Song Zhang, and Xiaohui Zhang, “A vessel segmentation method for serialized cerebralvascular DSA images based on spatial feature point set of rotating coordinate system,” Computer Methods and Programs in Biomedicine, vol. 161, pp. 55–72, 2018. View at Publisher · View at Google Scholar
  • Soochahn Lee, Chang Ho Jeon, Leonard Sunwoo, linebreak Dong Yul Oh, and Kyong Joon Lee, “Phase-based Nonrigid Deformation for Digital Subtraction Angiography,” IEEE Access, pp. 1–1, 2019. View at Publisher · View at Google Scholar