Research Only
Denoising Diffusion MRI for Prostate Imaging

MICSI-RMT

A Unique Approach to Inefficient Prostate Diffusion Acquisition

Clinical prostate diffusion acquisitions are notoriously inefficient. At minimum, the apparent diffusion coefficient (ADC) can be acquired with one unweighted diffusion image and at least 3 weighted diffusion images acquired with gradient directions aligned along the x, y, z planes. In practice, this acquisition is extended to at least 50 images, where the bulk of the measurements are simply repetitions that are used to average away the noise.

We are proposing to replace the excessive number of averages of the conventional prostate diffusion sequence, with variable gradient directions which would enable the measurement of FA in addition to ADC.

Two ways of acquiring diffusion for the prostate:

Top: The clinical gold standard repeats the measurement N times to improve the SNR through signal averaging, this approach can be used to calculate the ADC.

Bottom: We propose varying diffusion directions instead of repeated averages, this would enable the calculation of ADC and FA. Any loss of SNR can be overcome with MP-PCA.

Methods of Diffusion - ADC Only Diagram

ADC Only

Methods of Diffusion - ADC + FA Diagram

ADC + FA

Sample of diffusion weighted images and the calculated b=1500 image on a patient with a 4+3 peripheral zone lesion acquired with a MAGNETOM Siemens 3.0T Prisma system with and without MP-PCA denoising.

b=50

b=500

Calculated
b=1,500

Sample Original B50 Diagram
Sample Original B500 Diagram
Sample Original B1500 Diagram

Original

Sample RMT B50 Diagram
Sample RMT B500 Diagram
Sample RMT B1500 Diagram

MP-PCA

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Learn how MISCI meets the challenge of detecting low-grade prostate cancer.

Verb Generation Diagram

Related Publications

Initial publication describing the method:

Denoising of Diffusion MRI Using Random Matrix Theory

Denoising functional MRI for pre-operative planning:

Improved Task-based Functional MRI Language Mapping in Patients with Brain Tumors through Marchenko-Pastur Principal Component Analysis Denoising

Denoising prostate diffusion MRI on 0.55T:

Feasibility of Accelerated Prostate Diffusion-Weighted Imaging on 0.55 T MRI Enabled With Random Matrix Theory Denoising

Fractional anisotropy is highest in low grade cancers:

Time-Dependent Diffusion in Prostate Cancer

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