Meeting Banner
Abstract #0696

Automatic Bolus Analysis for DCE-MRI Using Radial Golden-Angle Stack-Of-Stars GRE Imaging

Robert Grimm1, Li Feng2, Christoph Forman3, Jana Hutter1, Berthold Kiefer4, Joachim Hornegger1, Kai Tobias Block5

1Pattern Recognition Lab, FAU Erlangen-Nuremberg, Erlangen, Germany; 2Department of Radiology, New York University Langone Medical Center, New York City, NY, United States; 3Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nrnberg, Erlangen, Germany; 4Siemens Healthcare, Erlangen, Germany; 5Department of Radiology, NYU Langone Medical Center, New York City, NY, United States

Compressed Sensing reconstruction of DCE-MRI with radial stack-of-stars GRE acquisition suffers from two shortcomings: First, the acquisition cannot be combined with conventional bolus-detection techniques to confirm successful bolus administration. Second, in abdominal examinations only few of the up to 100 reconstructed volumes are relevant for clinical diagnosis. An automatic, k-space based method is presented that addresses both problems. A bolus signal reflecting the course of global contrast enhancement is extracted and used to accurately determine the bolus arrival time. Using population-based estimates for the delay of arterial and venous enhancement in the liver, the corresponding images can be identified.

Abstract PDF Presentation Video

Keywords

abdomen accuracy acquisition administration agent amount analyzed another applied approved arrival arterial automatic automatically blue bolus breathing captured central channel clearly clinical clinically closely comprise computed constant continuous contrast correctness cost course critical curve dataset datasets delay delayed delays depicting derived described detect detected detection deviation deviations distance duration dynamic ends enhancement error evaluate every examined exhaustive extract extracted failed feedback fitted fitting frame frames free freedom fully future golden good grasp hence hold immediately indicating last length linear magnetization magnitude making manually maximal model novel offsets onset optimal partition pediatric perfusion permitting plateau population promise proposed quality radial radiology rather recognition reconstructed reconstruction reduce referred reflected relevant requires resolution respective respectively samples scanner search section segment segmentation segments select selected self separated series significantly simple simplify slow software space spanned spoke spokes stack stages stars steps studies subsequently succeeded sufficient temporal thereby timing transverse venous visualized visually volume wash washout