Meeting Banner
Abstract #0585

Optimized Processing of Quantitative Susceptibility Mapping-Based Gadolinium Perfusion MRI: Correction of Bulk Susceptibility Effects and Comparison of Arterial Input Function Selection from &[Delta]R2* and QSM Data

David Bonekamp1, Xu Li1, 2, Richard Leigh3, Peter C.M. van Zijl1, 2, Peter B. Barker1, 2

1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States; 2FM Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States; 3Neurology, Johns Hopkins University, Baltimore, MD, United States

Recently, we developed the feasibility of dynamic Quantitative Susceptibility Mapping (QSM) for mapping of cerebral blood flow (CBF). The induced susceptibility effects are independent of intra- or extra-vascular contrast location, an advantage over existing methods. We present improvements of the method and compare the use of arterial input functions (AIF) derived from the QSM (&[Delta]&[chi]) and &[Delta]R2* data. We find good quantitative agreement between CBF perfusion images obtained using &[Delta]R2*, and &[Delta]&[chi] with both AIF approaches. Quantification of CBV and CBF is improved in the gray matter compared to our prior reports.

Abstract PDF Presentation Video

Keywords

accurate achieves adding addresses adjacent affected agreement aliasing amplitude analyses approval arterial artificial audience avoid background barker blood blurred bolus brain bulk calculation cerebral challenge characterized choices clinicians comparable complementary concentration contrast conversion converted corrected correction currently curves decrease decreased deficit depicts derived despite detected determine determined dipole distribution dominated dynamic effectively eliminated estimation expected experiment exploits feasibility field fitting flow frequency fully function functional functions funding gadolinium general good gradient identifies improved included induced influence informed injection input invest investigated johns leads limitations local magnitude male mapping maps matrix mechanism molar necessary neurology nonlinear optimized otherwise part passage patient peak perfused perfusion peter phys previously processing qualitative quality quantitative radiological radiology reconstruction refined reflect regularization related remains removal removed repeated represent requires respiratory scaled scaling scanned scheme science selection sensitivity separation shape slice slices slowly steady step stroke susceptibility symptoms target tissue traditionally transverse units unwrapping vessels vision workup yield