Choice of the regularization parameter for perfusion quantification with MRI

Physics in Medicine and Biology

Volumn 49, Issue 14, 2004, Pages 3307-3324

  Sourbron, S ^a   Luypaert, R ^a   Van Schuerbeek, P ^a   Dujardin, M ^a   Stadnik, T ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

GENERALIZED CROSS VALIDATION (GCV); TRUNCATED SINGULAR VALUE DECOMPOSITION (TSVD);

COMPUTER SIMULATION; IMAGE ANALYSIS; MEDICAL IMAGING; OSCILLATIONS;

MAGNETIC RESONANCE IMAGING;

ACCURACY; ARTICLE; BRAIN PERFUSION; CALCULATION; COMPARATIVE STUDY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; IMAGE ANALYSIS; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; OSCILLATION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SENSITIVITY ANALYSIS; VALIDATION PROCESS;

ARTERIES; BRAIN; BRAIN MAPPING; CEREBROVASCULAR ACCIDENT; CEREBROVASCULAR CIRCULATION; COMPUTER SIMULATION; CONTRAST MEDIA; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MODELS, THEORETICAL; OSCILLOMETRY; PERFUSION; PHANTOMS, IMAGING; SENSITIVITY AND SPECIFICITY; TIME FACTORS;

EID: 4344706192     PISSN: 00319155     EISSN: None     Source Type: Journal    
DOI: 10.1088/0031-9155/49/14/020     Document Type: Article

References (29)

1. Andersen I K, Szymkowiak A, Rasmussen C E, Hanson L G, Marstrand J R, Larsson H B W and Hansen L K 2002 Perfusion quantification using Gaussian process deconvolution Magn. Reson. Med. 48 351-61
2. Barbier E L, Lamalle L and Décorps M 2001 Methodology of brain perfusion imaging J. Magn. Reson. Imaging 13 496-520
3. Boxerman J L, Hamberg L M, Rosen B R and Weisskoff R M 1995 MR contrast due to intravascular magnetic susceptibility perturbations Magn. Reson. Med. 34 555-66
4. Butcher K, Parsons M, Baird T, Barber A, Donnan G, Desmond P, Tress B and Davis S 2003 Perfusion thresholds in acute stroke thrombolysis Stroke 34 2159-64
5. Calamante F, Gadian D G and Connelly A 2000 Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition Magn. Reson. Med. 44 466-73
6. Calamante F, Gadian D G and Connelly A 2002 Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke; assumptions, limitations, and potential implications for clinical use Stroke 33 1146-51
7. Calamante F, Gadian D G and Connelly A 2003 Quantification of bolus-tracking MRI: improved characterization of the residue function using Tikhonov regularization Proc. Int. Soc. Magn. Reson. Med. (Toronto) p 422
8. Calamante F, Thomas D L, Pell G S, Wiersma J and Turner R 1999 Measuring cerebral blood flow using magnetic resonance imaging techniques J. Cereb. Blood Flow Metab. 19 701-35
9. Delille J P, Slanetz P J, Yeh E D, Kopand D B and Garrido L 2002 Breast cancer: regional blood flow and blood volume measured with magnetic susceptibility-based MR imaging - initial results Radiology 223 558-65
10. Fierro, R D, Golub G H, Hansen P C and O'Leary D P 1997 Regularization by truncated total least squares SIAM J. Sci. Comput. 18 1223-41
11. Hansen P C 1992 Analysis of discrete ill-posed problems by means of the L-curve SIAM Rev. 34 561-80
12. Hansen P C 1998 Rank-deficient and Discrete Ill-Posed Problems (Philadelphia: SIAM)
13. Lassen N A and Perl W 1979 Tracer Kinetic Methods in Medical Physiology (New York: Raven Press)
14. Liu H L, Pu Y, Liu Y, Nickerson L, Andrews T, Fox P T and Gao J H 1999 Cerebral blood flow measurement by dynamic contrast MRI using singular value decomposition with an adaptive threshold Magn. Reson. Med. 42 167-72
15. Murase K, Shinohara M and Yamazaki Y 2001 Accuracy of deconvolution analysis based on singular value decomposition for quantification of cerebral blood flow using dynamic susceptibility contrast-enhanced magnetic resonance imaging Phys. Med. Biol. 46 3147-59
16. Ostergaard L, Sorensen A G, Kwong K K, Weiskoff R M, Gyldensted C and Rosen B R 1996a High resolution measurement of cerebral blood flow using intravascular tracer bolus passages: II. Experimental comparison and preliminary results Magn. Reson. Med. 36 726-36
17. Ostergaard. L, Weisskoff R M, Chesler D A, Gyldensted C and Rosen B R 1996b High resolution measurement of cerebral blood flow using intravascular tracer bolus passages: I. Mathematical approach and statistical analysis MAGN. Reason. Med. 36 715-25
18. Perkiö J, Aronen H J, Kangasmäki A, Liu Y, Karonen J, Savolainen S and Ostergaard L 2002 Evaluation of four postprocessing methods for determination of cerebral blood volume and mean transit time by dynamic susceptibility contrast imaging Magn. Reson. Med. 47 973-81
19. Rempp K A, Brix G, Wenz F, Becker C Gückel and Lorenz W J 1994 Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging Radiology 193 637-41
20. Smith A M, Grandin C B, Duprez T, Mataigne F and Cosnard G 2000 Whole brain quantitative CBF and CBV measurements using MRI bolus tracking: comparison of methodologies Magn. Reson. Med. 43 559-64
21. Smith M R, Lu H and Frayne F 2003 Signal-to-noise ratio effects in quantitative cerebral perfusion using dynamic susceptibility contrast agents Magn. Reson. Med. 46 122-8
22. Sorensen A G and Reimer P 2000 Cerebral MR Perfusion Imaging (Stuttgar: Georg Thieme)
23. Sourbron S, Luypaert R and Osteaux M 2003a Robust and unbiased adaptive thresholding in SVD-based deconvolution of DSC-MRI perfusion data Proc. Int. Soc. Magn. Reson. Med. (Toronto) p 2207
24. Sourbron S, Stubbe I, Luypaert R and Osteaux M 2003b Discretising the convolution product in DSC-MRI based quantification of CBF MAGMA 16 134
25. Vonken E P A, Beekman F J, Bakker C J G and Viergever M A 1999 Maximum likelihood estimation of cerebral blood flow in dynamic susceptibility contrast MRI Magn. Reson. Med. 41 343-50
26. Wahba G 1977 Practical approximate solutions to linear operator equations when the data are noisy SIAM J. Numer. Anal. 14 651-67
27. Wirestam R, Andersson L, Ostergaard L, Bolling M, Aunola J P, Lindgren A, Geijer B, Holtås S and Ståhlberg F 2000 Assessment of regional cerebral blood flow by dynamic susceptibility contrast MRI using different deconvolution techniques Magn. Reson. Med. 43 691-700
28. Wirestam R and Ståhlberg F 2002 Improved deconvolution by wavelet-based denoising for assessment of CBF using dynamic susceptibility contrast MRI MAGMA 15 12-3
29. Wu O, Ostergaard L, Benner T, Rosen B, Weisskoff R and Sorensen A G 2003 Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix Magn. Reson. Med. 50 164-74