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Abstract #4248

Reconstruction Tools for Hyperpolarized 13C MRI with the RTHawk Research Platform

Ernesto Diaz1, Shuyu Tang1,2, Anna Bennett1, Philip M. Lee1, Sule Sahin1, Xiaoxi Liu1, and Peder E.Z. Larson1
1University of California, San Francisco, San Francisco, CA, United States, 2Vista.ai, Palo Akto, CA, United States

Synopsis

Keywords: Data Acquisition, Data Acquisition, images reconsturction

Motivation: The motivation behind this project was to address critical gaps in our Hyperpolarized (HP) 13C MRI.

Goal(s): The primary goal of this study was to develop and implement a set of tools and methods to support HP 13C MRI. These tools aimed to facilitate real-time data processing, improve image quality, and enable precise quantification of metabolic processes.

Approach: We created the HP 13C RTHawk reconstruction toolbox. These tools included functions for data reading, gridding, coil combination, DICOM writing, B1+ and B0 calibration.

Results: The RTHAWK toolbox significantly enhanced the capabilities of HP 13C MRI, empowering researchers to obtain higher-quality images.

Impact: The study have far-reaching implications for scientists. By enhancing the capabilities of HP 13C MRI, the toolbox enables more precise studies. This not only broadens our understanding of but also paves the way for improved diagnostic procedures and treatment strategies.

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Keywords