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Abstract #0106

Characterization of Small Liver Lesions Using Partial Volume Corrected T2 Estimates Obtained from Highly Undersampled Radial Fast Spin Echo Data Via PURIFY

MAGNA25Chuan Huang1, Jean-Philipper Galons2, Maria I. Altbach2

1Mathematics, University of Arizona, Tucson, AZ, United States; 2Radiology, University of Arizona

T2 estimation has proven to be a valuable tool in the characterization of liver lesions. Because of the partial volume effect, it is particularly challenging to obtain T2 values of lesions with diameters smaller than 15 mm. In this work we present a joint bi-exponential fitting (JBF) algorithm combined with a principal component based reconstruction algorithm to obtain accurate T2 estimates with partial volume correction. The method, which utilizes highly undersampled radial data acquired in a single breath hold, is demonstrated in phantoms and in vivo.

Keywords

abdomen account accounts accurate acquisition acquisitions assumption averaging background bandwidth bath benign breath bulb bulbs challenging characterization classification collected combination combines component composed concentrations constrain containing contaminated contamination corrected cover curves decay destructive developed diameter diameters diffusion distributed echoes enables ending enforce error existence exponential falls false fast fitted fitting focal fully global gold grant hand highly hold homogeneous identically imperfections in vivo increasing independent inner insensitive inserted inside intensity jean joint just larger lesion lesions liver malignant mapping maps maria mathematics mention minimized mixture model modeled motion nature negative noise note noteworthy novel overcome partial patients phantom pixel plot positive presence press principal problem profile purify quantities radial radiology readout receiver recently reconstructed reconstruction refocusing relies represent representative required resolution sampled scanner sets simple since slice source spatial spherical spin stimulated subject successful suffers table taken temporal theory tissue took true tubes typically uncertainty underestimated varied view views volume yield yields