A novel image analysis approach for accurate identification of acute renal rejection

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 1812-1815

  El Baz, Ayman ^a   Gimel'farb, Georgy ^b   El Ghar, Mohames A ^c  

^a University of Louisville   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c MANSOURA UNIVERSITY   (Egypt)

Author keywords

Global registration; Local registration

Indexed keywords

ACUTE REJECTION; ANATOMICAL STRUCTURES; AUTOMATIC CLASSIFICATION; CONTRAST AGENT; CURRENT TECHNIQUES; DCE-MRI; DYNAMIC CONTRAST; DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE IMAGING; EARLY DETECTION; GLOBAL REGISTRATION; GOLD STANDARDS; KIDNEY TRANSPLANTATION; LOCAL MOTIONS; LOCAL REGISTRATION; MAGNETIC RESONANCE IMAGES; MOTION CORRECTION; NEEDLE BIOPSY; NEW APPROACHES; NON-INVASIVE; RENAL TRANSPLANTATION; TRANSPLANTED KIDNEY; URINE TEST;

ALGORITHMS; AUTOMATIC INDEXING; GRAFTING (CHEMICAL); IMAGE ANALYSIS; IMAGING SYSTEMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING;

BIOPSY;

EID: 69949122104     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4712129     Document Type: Conference Paper

References (10)

1. A. El-Baz, S. Yuksel, H. Shi, A. Farag, M. El-Ghar, T. Eldiasty, and M. Ghoneim, "2D and 3D shape based segmentation using deformable models," Proc. of MICCAI, Palm Springs, California, USA, October 26-29, 2005, pp. 821-829.
2. U.S. Department of Health and Human Services. Annual report of the U.S. scientific registry of transplant recipients and the organ procurement and transplantation network: transplant data: 1990-1999. Bureau of Health Resources Department, Richmond, VA; 2000.
3. M. Neimatallah, Q. Dong, S. Schoenberg, K. Cho, and M. Prince, "Magnetic resonance imaging in renal transplantation," J Magn Reson Imaging, vol. 10(3), pp. 357-368, Sep 1999.
4. K. M. Rigg, "Renal transplantation: current status, complications and prevention," J Antimicrob Chem. 1995, 36 Suppl: B51-B57.
5. D. Yang et al., "USPIO-enhanced dynamic MRI: evaluation of normal and transplanted rat kidneys," Magn. Reson. in Medicine, vol. 46, pp. 1152-1163, 2001.
6. G. Gerig et al., "Semiautomated ROI analysis in dynamic MRI studies: Part I: image analysis tools for automatic correction of organ displacements," IEEE Trans. Image Processing, vol. 11:(2), pp. 221-232, 1992.
7. Y. Boykov et al., "Segmentation of dynamic N-D data sets via graph cuts using Markov models," in Proc. of MICCAI, 2001, pp. 1058-1066.
8. E. Giele, "Computer methods for semi-automatic MR renogram determination," Ph.D. dissertation, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, 2002.
9. Y Sun et al., "Integrated registration of dynamic renal perfusion MR images," in Proc. of ICIP'04, Singapore, October 24-27, pp. 1923-1926, 2004.
10. J. A. Sethian, "Fast marching level set method for monotonically advancing fronts," Proc. Nat. Acad. Sci. USA, vol. 93, pp. 1591-1595, Feb. 1996.