Meeting Banner
Abstract #1478

Feasibility of Extracting Quantitative Arterial Input Functions from Descending Aorta in Breast DCE MRI Studies

Dennis Lai Hong Cheong1, 2, Bingwen Zheng1, Bo Zhang1, 3, Soo Chin Lee4, 5, Thian Chor Ng1, 6

1Clinical Imaging Research Center, A*STAR & National University of Singapore, 117456, Singapore; 2Neuroradiology Department, National Neuroscience Institute, 308433, Singapore; 3Quantitative Image Processing Group, SBIC/A*STAR, 138671, Singapore; 4Department of Haematology-Oncology, National University Health System, 119074, Singapore; 5Cancer Science Institute, 117456, Singapore; 6Department of Radiology, National University of Singapore, 119074, Singapore

Individually measured arterial input functions (AIF) are critical for quantitative DCE MRI studies. Typical field of view (FOV) for breast DCE MRI do not cover major artery supplying the breast. We explored the feasibility of including the descending aorta in the FOV by using an additional surface coil placed on the back of patients for better proximity in positioning for direct measurements of AIF from the aorta. However, there are serious blood inflow effects at the descending aorta where blood flow is fast. Nevertheless, inflow effect is avoidable by extracting AIF at a more distal end along the aorta.

Keywords

absolute accuracy accurate acquisition additional adequate administered agent although aorta aortic arch arterial artery ascending assumed axially back basis became best better blood body breast breasts cancer channel chin clinical coil concentration contrast correction correctly critical curves dashed descending design difficulty direct distal drawn dynamic edge either entering errors estimation estimations even excited excluding exist extracted extracting feasibility field flash flows focused frame frames free full function functions gadolinium health heart homogeneity hong ideally identical improved individual inflow influence inhomogeneity injector input insets institute invest knowledge lack last literature longer many maps matrix measured measuring minor models much national nearer nine oncology optimization optimized part patient patients peak placed placing position positioning practice processing produce projects prone proximity quantitative radiology realistic realize receiver reported represent representative resolution scanner seven seventh slice slices star still studies subject subsequent surface system technical temporal tissue treated trio untreated variabilities variable view volume whole wider