Evaluation of methods for bolus arrival time determination using a four-dimensional MRA flow phantom

Studies in Health Technology and Informatics

Volumn 160, Issue PART 1, 2010, Pages 1263-1267

  Säring, Dennis ^a   Forkert, Nils Daniel ^a   Illies, Till ^a   Fiehler, Jens ^a   Handels, Heinz ^a  

^a UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

Author keywords

Blood flow; Hemodynamics; Imaging; Phantoms; Vascular desease

Indexed keywords

BLOOD; DATA VISUALIZATION; GAUSSIAN NOISE (ELECTRONIC); HEMODYNAMICS; IMAGING TECHNIQUES; SIGNAL TO NOISE RATIO;

BLOOD FLOW; BOLUS ARRIVAL TIME; CONCENTRATION-TIME; EVALUATION OF METHODS; GAMMA VARIATE FUNCTIONS; MODEL INDEPENDENT; PARTIAL VOLUME EFFECT; VASCULAR DESEASE;

PHANTOMS;

EID: 78649509187     PISSN: 09269630     EISSN: 18798365     Source Type: Conference Proceeding    
DOI: 10.3233/978-1-60750-588-4-1263     Document Type: Conference Paper

References (16)

1. Donnan, GA, Fisher M, Macleod M, and Davis SM. "Stroke". The Lancet 2008;371:1612-1623.
2. Choi, J and Mohr J. Brain arteriovenous malformations in adults. Lancet Neurol 2005;4:299-308.
3. Warnock N, Gandhi M, Bergvall U, and Powell T. Complications of intra arterial digital subtraction angiography in patients investigated for cerebral vascular disease. Brit J Radiol 1993;66:855-858.
4. Ledezma CJ, Hoh BL, Carter BS. Complications of cerebral arteriovenous malformation embolization: multivariate analysis of predictive factors. Neurosurgery 2006;58:602-11
5. Jialiang C, Shengzhang W, Wei Y, and Guanghong, D. Computational fluid dynamics modeling of intracranial aneurysms. International Conference on BioMedical Engineering and Informatics 2008;566-569.
6. Østergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. I. Mathematical approach and statistical analysis. Magn Reson Med 1996;36:715-725.
7. Østergaard L, Sorensen AG, Kwong KK, Weisskoff RM, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. II. Experimental comparison and preliminary results. Magn Reson Med 1996;36:726-736.
8. Forkert ND, Säring D, Fiehler J, Illies J, Möller D, Handels H. Analysis and Dynamic 3D Visualization of Cerebral Blood Flow Combining 3D and 4D MR Image Sequences. In: Miga MI, Wong KH, eds. Visualization, Image Guided Procedures, and Modeling, SPIE Medical Imaging 2009;7261:331-338.
9. Shpilfoygel SD, Close RA, Valentino DJ and Duckwiler GR. X-ray videodensitometric methods for blood flow and velocity measurement: A critical review of literature. Med Phys 2000;27(9):2008-2023.
10. Thompson HK, Starmer CF, Whalen RE and McIntosh HD. Indicator transit time considered as a gamma variate. Circ Res 1964;14:502-515.
11. Madsen MT. A simplified formulation of the gamma variate function, " Phys Med Biol 1992;37(7):1597-1600.
12. Cunningham I, Hobbs B and Fenster A. A new system for quantitative arterial imaging and blood flow measurements. Invest Radiol 1986;21(6):465-71.
13. Benner T, Heiland S, Erb G, Forsting M, Sartor K. Accuracy of gamma-variate fits to concentration-time curves from dynamic susceptibility-contrast enhanced MRI: influence of time resolution, maximal signal drop and signal-tonoise. Magn Reson Imaging 1997;15(3):307-17.
14. Perkiö J, Aronen HJ, Kangasmäki A, Liu Y, Karonen J, Savolainen S, Østergaard L. Evaluation of four postprocessing methods for determination of cerebral blood volume and mean transit time by dynamic susceptibility contrast imaging. Magn Reson Med 2002;47(5):973-81.
15. Chen JJ, Smith MR, Frayne R. The impact of partialvolume effects in dynamic susceptibility contrast magnetic resonance perfusion imaging. Magn Reson Imaging 2005;22(3):390-399
16. Säring D, Fiehler J, Forkert ND, Piening M and Handels H. Visualization and analysis of cerebral arteriovenous malformation combining 3D and 4D MR image sequences. International Journal of CARS 2007;2:75-79.