2018
Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI
MACÍČEK, Ondřej, Radovan JIŘÍK, Jan MIKULKA, Michal BARTOŠ, Andrea ŠPRLÁKOVÁ-PUKOVÁ et. al.Základní údaje
Originální název
Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI
Autoři
MACÍČEK, Ondřej (203 Česká republika, garant), Radovan JIŘÍK (203 Česká republika), Jan MIKULKA (203 Česká republika), Michal BARTOŠ (203 Česká republika), Andrea ŠPRLÁKOVÁ-PUKOVÁ (203 Česká republika, domácí), Miloš KEŘKOVSKÝ (203 Česká republika, domácí), Zenon STARČUK (203 Česká republika), Karel BARTUŠEK (203 Česká republika) a Torfinn TAXT (578 Norsko)
Vydání
Measurement Science Review, WARSAW, UM SAV, 2018, 1335-8871
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30224 Radiology, nuclear medicine and medical imaging
Stát vydavatele
Polsko
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 1.122
Kód RIV
RIV/00216224:14110/18:00105311
Organizační jednotka
Lékařská fakulta
UT WoS
000452196100006
Klíčová slova anglicky
Perfusion imaging; contrast agents; brain tumors; DCE-MRI; DSC-MRI
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 11. 2. 2019 14:27, Soňa Böhmová
Anotace
V originále
Dynamic contrast enhanced MRI (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) are perfusion imaging techniques used mainly for clinical and preclinical measurement of vessel permeability and capillary blood flow, respectively. It is advantageous to apply both methods to exploit their complementary information about the perfusion status of the tissue. We propose a novel acquisition method that combines advantages of the current simultaneous and sequential acquisition. The proposed method consists of a DCE-MRI acquisition interrupted by DSC-MRI acquisition. A new method for processing of the DCE-MRI data is proposed which takes the interleaved acquisition into account. Analysis of both the DCE- and DSC-MRI data is reformulated so that they are approximated by the same pharmacokinetic model (constrained distributed capillary adiabatic tissue homogeneity model). This provides a straightforward evaluation of the methodology as some of the estimated DCE- and DSC-MRI perfusion parameters should be identical. Evaluation on synthetic data showed an acceptable precision and no apparent bias introduced by the interleaved character of the DCE-MRI acquisition. Intravascular perfusion parameters obtained from clinical glioma data showed a fairly high correlation of blood flow estimates from DCE- and DSC-MRI, however, an unknown scaling factor was still present mainly because of the tissue-specific r(2)* relaxivity. The results show validity of the proposed acquisition method. They also indicate that simultaneous processing of both DCE- and DSC-MRI data with joint estimation of some perfusion parameters (included in both DCE- and DSC-MRI) might be possible to increase the reliability of the DCE- and DSC-MRI methods alone.
Návaznosti
CZ.02.1.01/0.0/0.0/16_013/0001775, interní kód MU (Kód CEP: EF16_013/0001775) |
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LM2015062, projekt VaV |
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