PURPOSE: To evaluate a magnetic resonance imaging (MRI) technique that integrates time-resolved angiography with stochastic trajectories (TWIST) view sharing and Dixon for a breast dynamic contrast-enhanced (DCE)-MRI application. MATERIALS AND METHODS: Simulation study: K-space data at six timepoints (1 pre-, 5 postcontrast) were generated by performing Fourier transform on a digital "phantom" with 3-9 mm enhancing lesions and three types of enhancement curves (persistent, plateau, washout). Images were reconstructed with and without TWIST. Clinical study: Six TWIST-Dixon image sets (one pre-, five postcontrast) were acquired in 18 patients on a 3T scanner, followed by one conventional image set. The last TWIST-Dixon and the conventional images were scored for seven criteria: perceived signal-to-noise ratio (P.SNR), visualization of anatomy, fat suppression (FS) accuracy, FS uniformity, ghosting artifact, edge ringing artifact, and overall image quality (IQ). RESULTS: Simulation study: With proper TWIST parameters (pA ≥33%, pB ≥50%), the enhancement underestimation was 5% or less for tumor size ≥5 mm. Clinical study: TWIST-Dixon images have significantly better scores in all criteria except for ghosting artifacts, where the difference was not significant. CONCLUSION: With proper parameters, TWIST-Dixon provides higher perceived SNR, more accurate fat suppression, and better overall image quality for breast DCE-MRI without sacrificing accuracy in the enhancement estimation.
PURPOSE: To evaluate a magnetic resonance imaging (MRI) technique that integrates time-resolved angiography with stochastic trajectories (TWIST) view sharing and Dixon for a breast dynamic contrast-enhanced (DCE)-MRI application. MATERIALS AND METHODS: Simulation study: K-space data at six timepoints (1 pre-, 5 postcontrast) were generated by performing Fourier transform on a digital "phantom" with 3-9 mm enhancing lesions and three types of enhancement curves (persistent, plateau, washout). Images were reconstructed with and without TWIST. Clinical study: Six TWIST-Dixon image sets (one pre-, five postcontrast) were acquired in 18 patients on a 3T scanner, followed by one conventional image set. The last TWIST-Dixon and the conventional images were scored for seven criteria: perceived signal-to-noise ratio (P.SNR), visualization of anatomy, fat suppression (FS) accuracy, FS uniformity, ghosting artifact, edge ringing artifact, and overall image quality (IQ). RESULTS: Simulation study: With proper TWIST parameters (pA ≥33%, pB ≥50%), the enhancement underestimation was 5% or less for tumor size ≥5 mm. Clinical study: TWIST-Dixon images have significantly better scores in all criteria except for ghosting artifacts, where the difference was not significant. CONCLUSION: With proper parameters, TWIST-Dixon provides higher perceived SNR, more accurate fat suppression, and better overall image quality for breast DCE-MRI without sacrificing accuracy in the enhancement estimation.
Authors: Courtney K Morrison; Leah C Henze Bancroft; Wendy B DeMartini; James H Holmes; Kang Wang; Ryan J Bosca; Frank R Korosec; Roberta M Strigel Journal: Invest Radiol Date: 2017-04 Impact factor: 6.016
Authors: Chengyue Wu; David A Hormuth; Ty Easley; Victor Eijkhout; Federico Pineda; Gregory S Karczmar; Thomas E Yankeelov Journal: Med Image Anal Date: 2021-07-20 Impact factor: 13.828
Authors: Leah Henze Bancroft; James Holmes; Ryan Bosca-Harasim; Jacob Johnson; Pingni Wang; Frank Korosec; Walter Block; Roberta Strigel Journal: Tomography Date: 2022-04-02
Authors: Wei Xiong Fan; Xiao Feng Chen; Feng Yan Cheng; Ya Bao Cheng; Tai Xu; Wen Biao Zhu; Xiao Lei Zhu; Gui Jin Li; Shuai Li Journal: Medicine (Baltimore) Date: 2018-01 Impact factor: 1.889