An adaptive complex independent component analysis to analyze dynamic contrast enhanced-MRI

Author

Mehrabian, Hatef ; Pang, Ian ; Chopra, Rajiv ; Martel, Anne L.

Author_Institution

Dept. of Med. Biophys., Univ. of Toronto, Toronto, ON, Canada

fYear

2012

fDate

2-5 May 2012

Firstpage

1052

Lastpage

1055

Abstract

Pharmacokinetic (PK) modeling of tumors provides information about perfusion and vascular permeability of tumors. Identifying arterial input function (AIF) is crucial in PK modeling using dynamic contrast enhanced (DCE)-MRI. An adaptive complex independent component analysis method is developed to identify and separate AIF from complex DCE-MRI data. The results are compared with a previously introduced AIF estimation method that applied ICA to magnitude DCE-MRI data. Using simulation and experimental phantom studies it is shown that using both magnitude and phase data (complex) results in a more robust and more accurate AIF measurement algorithm.

Keywords

biomedical MRI; blood vessels; independent component analysis; medical image processing; permeability; phantoms; tumours; PK modeling; adaptive complex ICA; adaptive complex independent component analysis method; arterial input function; dynamic contrast enhanced-MRI; experimental phantom; pharmacokinetic modeling; phase data; robust AIF measurement algorithm; tumor perfusion; vascular permeability; Adaptation models; Electron tubes; Image resolution; Magnetic resonance imaging; Phantoms; Tumors; Adaptive Complex ICA (AC-ICA); Arterial Input Function (AIF); Pharmacokinetic modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on

Conference_Location

Barcelona

ISSN

1945-7928

Print_ISBN

978-1-4577-1857-1

Type

conf

DOI

10.1109/ISBI.2012.6235739

Filename

6235739