Multishot Diffusion‐Weighted MRI of the Breast With Multiplexed Sensitivity Encoding ( MUSE ) and Shot Locally Low‐Rank (S hot‐LLR ) Reconstructions
Autor: | Arnaud Guidon, Yuxin Hu, Jarrett Rosenberg, Dilan Samarawickrama, Bruce L. Daniel, Satoko Okamoto, Brian A. Hargreaves, Catherine J. Moran, Shu-Tian Chen, Sarah M. Pittman, Debra M. Ikeda |
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Rok vydání: | 2020 |
Předmět: |
education.field_of_study
medicine.diagnostic_test business.industry Image quality Population 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Distortion Medicine Effective diffusion coefficient Breast MRI Radiology Nuclear Medicine and imaging cardiovascular diseases education Ghosting business Nuclear medicine Image resolution Diffusion MRI |
Zdroj: | Journal of Magnetic Resonance Imaging. 53:807-817 |
ISSN: | 1522-2586 1053-1807 |
DOI: | 10.1002/jmri.27383 |
Popis: | BACKGROUND Diffusion-weighted imaging (DWI) has shown promise to screen for breast cancer without a contrast injection, but image distortion and low spatial resolution limit standard single-shot DWI. Multishot DWI methods address these limitations but introduce shot-to-shot phase variations requiring correction during reconstruction. PURPOSE To investigate the performance of two multishot DWI reconstruction methods, multiplexed sensitivity encoding (MUSE) and shot locally low-rank (shot-LLR), compared to single-shot DWI in the breast. STUDY TYPE Prospective. POPULATION A total of 45 women who consented to have multishot DWI added to a clinically indicated breast MRI. FIELD STRENGTH/SEQUENCES Single-shot DWI reconstructed by parallel imaging, multishot DWI with four or eight shots reconstructed by MUSE and shot-LLR, 3D T2 -weighted imaging, and contrast-enhanced MRI at 3T. ASSESSMENT Three blinded observers scored images for 1) general image quality (perceived signal-to-noise ratio [SNR], ghosting, distortion), 2) lesion features (discernment and morphology), and 3) perceived resolution. Apparent diffusion coefficient (ADC) of the lesion was also measured and compared between methods. STATISTICAL TESTS Image quality features and perceived resolution were assessed with a mixed-effects logistic regression. Agreement among observers was estimated with a Krippendorf's alpha using linear weighting. Lesion feature ratings were visualized using histograms, and correlation coefficients of lesion ADC between different methods were calculated. RESULTS MUSE and shot-LLR images were rated to have significantly better perceived resolution (P |
Databáze: | OpenAIRE |
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