Evaluation of model-independent deconvolution techniques to estimate blood perfusion

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 2602-2607

  Kind, Taco ^a   Houtzager, Ivo ^b   Faes, Theo J C ^a   Hofman, Mark B M ^a  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Blood flow; Deconvolution; Magnetic resonance; Perfusion; Residue function

Indexed keywords

B SPLINES; BLOOD FLOW; BLOOD PERFUSION; DECONVOLUTION TECHNIQUES; DYNAMIC CONTRAST; EXPERIMENTAL DATA; MONTE CARLO SIMULATION; PERFUSION; REASONABLE ACCURACY; RESIDUE FUNCTIONS; TIKHONOV REGULARIZATION;

BLOOD; COMPUTER SIMULATION; ESTIMATION; FUNCTION EVALUATION; HEMODYNAMICS; MAGNETIC RESONANCE; SPLINES;

MONTE CARLO METHODS;

CONTRAST MEDIUM;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PERFUSION; REPRODUCIBILITY; STATISTICAL MODEL; TIME;

ALGORITHMS; COMPUTER SIMULATION; CONTRAST MEDIA; HUMANS; IMAGE ENHANCEMENT; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; MONTE CARLO METHOD; PERFUSION; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 78650826420     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626615     Document Type: Conference Paper

References (9)

1. P. Meier and K. Zierler, "On the theory of the indicator-dilution method for measurement of blood flow and volume." J Appl Physiol, vol. 6, no. 12, pp. 731-744, 1954.
2. K. Zierler, "Indicator dilution methods for measuring blood flow, volume, and other properties of biological systems: a brief history and memoir." Ann Biomed Eng, vol. 28, no. 8, pp. 836-848, 2000.
3. P. Hansen, "Analysis of discrete ill-posed problems by means of the l-curve," SIAM Review, vol. 34, pp. 561-580, 1992.
4. L. Ljung, System Identification: Theory for the User. Upper Saddle River, NJ: Prentice-Hall, 1999, vol. 1rd Edition.
5. D. Verotta, "Two constrained deconvolution methods using spline functions." J Pharmacokinet Biopharm, vol. 21, no. 5, pp. 609-636, 1993.
6. M. Jerosch-Herold, C. Swingen, and R. Seethamraju, "Myocardial blood flow quantification with mri by model-independent deconvolution." Med Phys, vol. 29, no. 5, pp. 886-897, 2002.
7. P. Tofts, G. Brix, D. Buckley, J. Evelhoch, E. Henderson, M. Knopp, H. Larsson, T. Lee, N. Mayr, G. Parker, R. Port, J. Taylor, and R. Weisskoff, "Estimating kinetic parameters from dynamic contrast-enhanced t(1)-weighted mri of a diffusable tracer: standardized quantities and symbols." J Magn Reson Imaging, vol. 10, no. 3, pp. 223-232, 1999.
8. M. Jerosch-Herold, N. Wilke, and A. Stillman, "Magnetic resonance quantification of the myocardial perfusion reserve with a fermi function model for constrained deconvolution." Med Phys, vol. 25, no. 1, pp. 73-84, 1998.
9. R. Seethamraju, O. Muehling, P. Panse, N. Wilke, and M, "Stochastic modeling for magnetic resonance quantification of myocardial blood flow," Proceedings of SPIE, 2000.