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Hyperpolarized 13 C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco
- Source :
- NMR in Biomedicine. 34
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Based on the expanding set of applications for hyperpolarized carbon-13 (HP-13 C) MRI, this work aims to communicate standardized methodology implemented at the University of California, San Francisco, as a primer for conducting reproducible metabolic imaging studies of the prostate and brain. Current state-of-the-art HP-13 C acquisition, data processing/reconstruction and kinetic modeling approaches utilized in patient studies are presented together with the rationale underpinning their usage. Organized around spectroscopic and imaging-based methods, this guide provides an extensible framework for handling a variety of HP-13 C applications, which derives from two examples with dynamic acquisitions: 3D echo-planar spectroscopic imaging of the human prostate and frequency-specific 2D multislice echo-planar imaging of the human brain. Details of sequence-specific parameters and processing techniques contained in these examples should enable investigators to effectively tailor studies around individual-use cases. Given the importance of clinical integration in improving the utility of HP exams, practical aspects of standardizing data formats for reconstruction, analysis and visualization are also addressed alongside open-source software packages that enhance institutional interoperability and validation of methodology. To facilitate the adoption and further development of this methodology, example datasets and analysis pipelines have been made available in the supporting information.
- Subjects :
- Data processing
Computer science
business.industry
Metabolic imaging
Interoperability
Hyperpolarized 13c
Data science
030218 nuclear medicine & medical imaging
Variety (cybernetics)
Visualization
03 medical and health sciences
0302 clinical medicine
Data acquisition
Software
Molecular Medicine
Radiology, Nuclear Medicine and imaging
business
030217 neurology & neurosurgery
Spectroscopy
Subjects
Details
- ISSN :
- 10991492 and 09523480
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- NMR in Biomedicine
- Accession number :
- edsair.doi...........528ca98d529da9662eea808c33b386ca