Related Experiment Video
Updated: Apr 12, 2026
12:29
Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
Published on: May 30, 2011
14.3K
Free-breathing liver perfusion imaging using 3-dimensional through-time spiral generalized autocalibrating partially
Yong Chen1, Gregory R Lee, Katherine L Wright
1From the *Department of Radiology, University Hospitals of Cleveland, †Department of Biomedical Engineering, and ‡Division of Biostatistics, Case Western Reserve University, Cleveland, OH.
Investigative Radiology
|May 7, 2015
Summary
This study developed free-breathing liver MRI for high-resolution imaging and quantitative perfusion mapping. The technique achieves clinically acceptable image quality, enabling detailed liver perfusion analysis without breath-holding.
Area of Science:
- Medical Imaging
- Radiology
- Biophysics
Background:
- Dynamic contrast-enhanced (DCE) liver MRI is crucial for assessing liver function.
- Traditional DCE-MRI requires breath-holding, limiting temporal resolution and patient comfort.
- Non-Cartesian parallel imaging offers potential for accelerated MRI acquisition.
Purpose of the Study:
- To develop a free-breathing, high-spatiotemporal resolution 3D DCE liver MRI technique.
- To enable quantitative liver perfusion mapping using non-Cartesian parallel imaging.
- To assess the feasibility and image quality of the developed technique.
Main Methods:
- Utilized a stack-of-spirals trajectory with 6x in-plane undersampling.
- Reconstructed images using 3D through-time non-Cartesian generalized autocalibrating partially parallel acquisition (3D-TGC-PAPA).
- Employed a dual-input single-compartment model for quantitative perfusion parameter extraction and advanced registration algorithms.
Main Results:
- Achieved high-resolution (1.9 × 1.9 × 3 mm³) 3D images with whole-liver coverage.
- Acquired images at 1.6–1.9 seconds temporal resolution during free breathing, capturing dynamic contrast changes.
- Demonstrated clinically acceptable image quality, with accurate registration and quantitative perfusion maps consistent with literature values.
Conclusions:
- Developed a high-spatiotemporal resolution, free-breathing 3D liver MRI technique.
- This method enables voxelwise quantification of liver perfusion.
- The technique overcomes breath-holding limitations for improved liver imaging and analysis.
