Version 1
: Received: 23 November 2020 / Approved: 25 November 2020 / Online: 25 November 2020 (14:23:27 CET)
Version 2
: Received: 11 February 2021 / Approved: 12 February 2021 / Online: 12 February 2021 (08:51:40 CET)
How to cite:
Bhuiyan, E.; Dewdney, A.; Weinreb, J.; Galiana, G. Feasibility of Diffusion Weighting with a Local Inside-Out Nonlinear Gradient Coil for Prostate MRI. Preprints2020, 2020110647. https://doi.org/10.20944/preprints202011.0647.v2
Bhuiyan, E.; Dewdney, A.; Weinreb, J.; Galiana, G. Feasibility of Diffusion Weighting with a Local Inside-Out Nonlinear Gradient Coil for Prostate MRI. Preprints 2020, 2020110647. https://doi.org/10.20944/preprints202011.0647.v2
Bhuiyan, E.; Dewdney, A.; Weinreb, J.; Galiana, G. Feasibility of Diffusion Weighting with a Local Inside-Out Nonlinear Gradient Coil for Prostate MRI. Preprints2020, 2020110647. https://doi.org/10.20944/preprints202011.0647.v2
APA Style
Bhuiyan, E., Dewdney, A., Weinreb, J., & Galiana, G. (2021). Feasibility of Diffusion Weighting with a Local Inside-Out Nonlinear Gradient Coil for Prostate MRI. Preprints. https://doi.org/10.20944/preprints202011.0647.v2
Chicago/Turabian Style
Bhuiyan, E., Jeffrey Weinreb and Gigi Galiana. 2021 "Feasibility of Diffusion Weighting with a Local Inside-Out Nonlinear Gradient Coil for Prostate MRI" Preprints. https://doi.org/10.20944/preprints202011.0647.v2
Abstract
Purpose: Prostate cancer remains the 2nd leading cancer killer of men, yet it is also a disease with a high rate of overtreatment. Diffusion weighted imaging (DWI) has shown promise as a reliable, grade-sensitive imaging method, but it is limited by low image quality. Currently, DWI image quality is directly related to low gradient ampli-tudes, since weak gradients must be compensated with long echo times. Methods: We propose a new type of MRl accessory, an "inside-out" and nonlinear gradient, whose sole purpose is to deliver diffusion encoding to a region of interest. Performance was simulated in OPERA and the resulting fields were used to simulate DWI with two compartment and kurtosis models. Experiments with a nonlinear head gradient prove the accuracy of DWI and ADC maps diffusion encoded with nonlinear gradients. Results: Simulations validated thermal and mechanical safety while showing a 5 to 10-fold increase in gradient strength over prostate. With these strengths, lesion CNR in ADC maps approximately doubled for a range of anatomical positions. Proof-of-principle experiments show that spatially varying b-values can be corrected for accurate DWI and ADC. Conclusions: Dedicated nonlinear diffusion encoding hardware could improve prostate DWI.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Gigi Galiana
Commenter's Conflict of Interests: Author