title: Absolute ultrasound perfusion parameter quantification of a tissue-mimicking phantom using bolus tracking [Correspondence].
abstract: This study presents three methods for absolute quantification in ultrasound perfusion analysis based on bolus tracking. The first two methods deconvolve the perfusion time sequence with a measured AIF, using a nonparametric or a parametric model of the tissue residue function, respectively. The third method is a simplified approach avoiding deconvolution by assuming a narrow AIF. A phantom with a dialyzer filter as a tissue-mimicking model was used for evaluation. Estimated mean transit times and blood volumes were compared with the theoretical values. A match with a maximum error of 12% was achieved.
authors.forename: Martin
authors.initials: M
authors.lastname: Mezl
authors.forename: Radovan
authors.initials: R
authors.lastname: Jirik
authors.forename: Vratislav
authors.initials: V
authors.lastname: Harabis
authors.forename: Radim
authors.initials: R
authors.lastname: Kolar
authors.forename: Michal
authors.initials: M
authors.lastname: Standara
authors.forename: Kim
authors.initials: K
authors.lastname: Nylund
authors.forename: Odd Helge
authors.initials: OH
authors.lastname: Gilja
authors.forename: Torfinn
authors.initials: T
authors.lastname: Taxt
mesh_terms: D004867:Equipment Design; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008955:Models, Cardiovascular; D055420:Perfusion Imaging / Q000295:instrumentation / Q000379:methods*; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography / Q000295:instrumentation / Q000379:methods*