Detail publikace

Jednokanálová slepá dekonvoluce arteriální vstupní funkce a impulzní odezvy tkáně v DCE-MRI

TAXT, T. JIŘÍK, R. RYGH, C. GRÜNER, R. BARTOŠ, M. ANDERSEN, E. CURRY, F. REED, R.

Originální název

Single-channel blind estimation of arterial input function and tissue impulse response in DCE-MRI.

Český název

Jednokanálová slepá dekonvoluce arteriální vstupní funkce a impulzní odezvy tkáně v DCE-MRI

Anglický název

Single-channel blind estimation of arterial input function and tissue impulse response in DCE-MRI.

Typ

článek v časopise

Jazyk

en

Originální abstrakt

Multipass dynamic MRI and pharmacokinetic modeling are used to estimate perfusion parameters of leaky capillaries. Curve fitting and nonblind deconvolution are the established methods to derive the perfusion estimates from the observed arterial input function (AIF) and tissue tracer concentration function. These nonblind methods are sensitive to errors in the AIF, measured in some nearby artery or estimated by multichannel blind deconvolution. Here, a single-channel blind deconvolution algorithm is presented, which only uses a single tissue tracer concentration function to estimate the corresponding AIF and tissue impulse response function. That way, many errors affecting these functions are reduced. The validity of the algorithm is supported by simulations and tests on real data from mouse. The corresponding nonblind and multichannel methods are also presented.

Český abstrakt

Multipass dynamic MRI and pharmacokinetic modeling are used to estimate perfusion parameters of leaky capillaries. Curve fitting and nonblind deconvolution are the established methods to derive the perfusion estimates from the observed arterial input function (AIF) and tissue tracer concentration function. These nonblind methods are sensitive to errors in the AIF, measured in some nearby artery or estimated by multichannel blind deconvolution. Here, a single-channel blind deconvolution algorithm is presented, which only uses a single tissue tracer concentration function to estimate the corresponding AIF and tissue impulse response function. That way, many errors affecting these functions are reduced. The validity of the algorithm is supported by simulations and tests on real data from mouse. The corresponding nonblind and multichannel methods are also presented.

Anglický abstrakt

Multipass dynamic MRI and pharmacokinetic modeling are used to estimate perfusion parameters of leaky capillaries. Curve fitting and nonblind deconvolution are the established methods to derive the perfusion estimates from the observed arterial input function (AIF) and tissue tracer concentration function. These nonblind methods are sensitive to errors in the AIF, measured in some nearby artery or estimated by multichannel blind deconvolution. Here, a single-channel blind deconvolution algorithm is presented, which only uses a single tissue tracer concentration function to estimate the corresponding AIF and tissue impulse response function. That way, many errors affecting these functions are reduced. The validity of the algorithm is supported by simulations and tests on real data from mouse. The corresponding nonblind and multichannel methods are also presented.

Klíčová slova

Perfuze, DCE-MRI, slepá dekonvoluce, arteriální vstupní funkce, jednokanálová, vícekanálová

Rok RIV

2012

Vydáno

01.04.2012

Strany od

1012

Strany do

1021

Strany počet

10

BibTex


@article{BUT94726,
  author="Torfinn {Taxt} and Radovan {Jiřík} and Cecilie Brekke {Rygh} and Renate {Grüner} and Michal {Bartoš} and Erling {Andersen} and Fitz-Roy {Curry} and Rolf {Reed}",
  title="Single-channel blind estimation of arterial input function and tissue impulse response in DCE-MRI.",
  annote="Multipass dynamic MRI and pharmacokinetic modeling are used to estimate perfusion parameters of leaky capillaries. Curve fitting and nonblind deconvolution are the established methods to derive the perfusion estimates from the observed arterial input function (AIF) and tissue tracer concentration function. These nonblind methods are sensitive to errors in the AIF, measured in some nearby artery or estimated by multichannel blind deconvolution. Here, a single-channel blind deconvolution algorithm is presented, which only uses a single tissue tracer concentration function to estimate the corresponding AIF and tissue impulse response function. That way, many errors affecting these functions are reduced. The validity of the algorithm is supported by simulations and tests on real data from mouse. The corresponding nonblind and multichannel methods are also presented.",
  chapter="94726",
  number="4",
  volume="59",
  year="2012",
  month="april",
  pages="1012--1021",
  type="journal article"
}