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Feasibility of high spatiotemporal resolution for an abbreviated 3D radial breast MRI protocol
- Source :
- Magnetic Resonance in Medicine. 80:1452-1466
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- Purpose To develop a volumetric imaging technique with 0.8-mm isotropic resolution and 10-s/volume rate to detect and analyze breast lesions in a bilateral, dynamic, contrast-enhanced MRI exam. Methods A local low-rank temporal reconstruction approach that also uses parallel imaging and spatial compressed sensing was designed to create rapid volumetric frame rates during a contrast-enhanced breast exam (vastly undersampled isotropic projection [VIPR] spatial compressed sensing with temporal local low-rank [STELLR]). The dynamic-enhanced data are subtracted in k-space from static mask data to increase sparsity for the local low-rank approach to maximize temporal resolution. A T1 -weighted 3D radial trajectory (VIPR iterative decomposition with echo asymmetry and least squares estimation [IDEAL]) was modified to meet the data acquisition requirements of the STELLR approach. Additionally, the unsubtracted enhanced data are reconstructed using compressed sensing and IDEAL to provide high-resolution fat/water separation. The feasibility of the approach and the dual reconstruction methodology is demonstrated using a 16-channel breast coil and a 3T MR scanner in 6 patients. Results The STELLR temporal performance of subtracted data matched the expected temporal perfusion enhancement pattern in small and large vascular structures. Differential enhancement within heterogeneous lesions is demonstrated with corroboration from a basic reconstruction using a strict 10-second temporal footprint. Rapid acquisition, reliable fat suppression, and high spatiotemporal resolution are presented, despite significant data undersampling. Conclusion The STELLR reconstruction approach of 3D radial sampling with mask subtraction provides a high-performance imaging technique for characterizing enhancing structures within the breast. It is capable of maintaining temporal fidelity, while visualizing breast lesions with high detail over a large FOV to include both breasts.
- Subjects :
- Computer science
Contrast Media
Breast Neoplasms
Signal-To-Noise Ratio
Article
030218 nuclear medicine & medical imaging
03 medical and health sciences
Imaging, Three-Dimensional
0302 clinical medicine
Data acquisition
Image Interpretation, Computer-Assisted
medicine
Humans
Breast MRI
Radiology, Nuclear Medicine and imaging
Computer vision
Breast
medicine.diagnostic_test
business.industry
Radial trajectory
Frame rate
Magnetic Resonance Imaging
Compressed sensing
Undersampling
Temporal resolution
Dynamic contrast-enhanced MRI
Feasibility Studies
Female
Artificial intelligence
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 07403194
- Volume :
- 80
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi.dedup.....0b910913637a0442e9ab8c4f905d3148
- Full Text :
- https://doi.org/10.1002/mrm.27137