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The Scientific World Journal
Volume 2012 (2012), Article ID 567067, 12 pages
http://dx.doi.org/10.1100/2012/567067
Research Article

Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms

1Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124 Pisa, Italy
2Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi, 1, 56124 Pisa, Italy
3Department of Information Engineering, University of Pisa, Via Diotisalvi, 2, 56126 Pisa, Italy

Received 26 October 2011; Accepted 7 December 2011

Academic Editors: M. D. Blaufox, S. Kelle, and J. Q. Yu

Copyright © 2012 Martina Marinelli 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 [10 citations]

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

  • Vincenzo Positano, Ilaria Bernardeschi, Virna Zampa, Martina Marinelli, Luigi Landini, and Maria Filomena Santarelli, “Automatic 2D registration of renal perfusion image sequences by mutual information and adaptive prediction,” Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 26, no. 3, pp. 325–335, 2012. View at Publisher · View at Google Scholar
  • Martina Marinelli, Vincenzo Positano, Stephan G. Nekolla, Paolo Marcheschi, Giancarlo Todiere, Natalia Esposito, Stefano Puzzuoli, Giuseppe A. L’Abbate, Paolo Marraccini, and Danilo Neglia, “Hybrid image visualization tool for 3D integration of CT coronary anatomy and quantitative myocardial perfusion PET,” International Journal of Computer Assisted Radiology and Surgery, vol. 8, no. 2, pp. 221–232, 2012. View at Publisher · View at Google Scholar
  • Pengfei Xin, Hongbo Yu, Huanchong Cheng, Shunyao Shen, and Steve G.F. Shen, “Image Fusion in Craniofacial Virtual Reality Modeling Based on CT and 3dMD Photogrammetry,” Journal of Craniofacial Surgery, vol. 24, no. 5, pp. 1573–1576, 2013. View at Publisher · View at Google Scholar
  • Jim O'Doherty, Joakim Henricson, Magnus Falk, and Chris D. Anderson, “Correcting for possible tissue distortion between provocation and assessment in skin testing: The divergent beam UVB photo-test,” Skin Research and Technology, 2013. View at Publisher · View at Google Scholar
  • Zhenhong Li, Jianwei Yang, Ming Li, and Rushi Lan, “Estimation of Large Scalings in Images Based on Multilayer Pseudopolar Fractional Fourier Transform,” Mathematical Problems in Engineering, vol. 2013, pp. 1–9, 2013. View at Publisher · View at Google Scholar
  • Maria Filomena Santarelli, Vincenzo Positano, Luca Menichetti, Linda Landini, and Luigi Landini, “Cardiovascular molecular imaging: New methodological strategies,” Current Pharmaceutical Design, vol. 19, no. 13, pp. 2439–2446, 2013. View at Publisher · View at Google Scholar
  • M. F. Santarelli, N. Martini, P. Positano, and L. Landini, “Models and Methods in Cardiac Imaging for Metabolism Studies,” Current Pharmaceutical Design, vol. 20, no. 39, pp. 6171–6181, 2014. View at Publisher · View at Google Scholar
  • Piotr J. Slomka, Mariana Diaz-Zamudio, Damini Dey, Manish Motwani, Yafim Brodov, David Choi, Sean Hayes, Louise Thomson, John Friedman, Guido Germano, and Daniel Berman, “Automatic registration of misaligned CT attenuation correction maps in Rb-82 PET/CT improves detection of angiographically significant coronary artery disease,” Journal of Nuclear Cardiology, 2015. View at Publisher · View at Google Scholar
  • Martina Marinelli, Danilo Neglia, Paolo Marcheschi, Vincenzo Positano, Valentina Lorenzoni, Chiara Caselli, Maurizio Mangione, Stefano Puzzuoli, Natalia Esposito, and Giuseppe Andrea L'Abbate, “A modular informatics platform for effective support of collaborative and multicenter studies in cardiology,” Health Informatics Journal, vol. 22, no. 4, pp. 1083–1100, 2016. View at Publisher · View at Google Scholar
  • Osamu Manabe, Masanao Naya, Tadao Aikawa, Masahiko Obara, Keiichi Magota, Markus Kroenke, Noriko Oyama-Manabe, Kenji Hirata, Daiki Shinyama, Chietsugu Katoh, and Nagara Tamaki, “PET/CT scanning with 3D acquisition is feasible for quantifying myocardial blood flow when diagnosing coronary artery disease,” EJNMMI Research, vol. 7, no. 1, 2017. View at Publisher · View at Google Scholar