A diffusion-prepared reduced FOV sequence for prostate MRI near metallic implants

Philip K Lee1, Jeremiah J Hess1,2, Andrew A Gomella1

  • 1Radiology, Stanford University, Stanford, California, USA.

PubMed
Abstract

Insights

A new diffusion imaging technique allows for clear prostate cancer screening in patients with hip implants, overcoming common MRI artifacts. This method achieves distortionless images in just 6 minutes.

Area of Science:

  • Radiology
  • Medical Imaging
  • Prostate Cancer Diagnostics

Background:

  • Metallic total hip replacements (THRs) cause artifacts in standard diffusion-weighted imaging (DWI) for prostate MRI.
  • Echo Planar Imaging (EPI), commonly used for DWI, is particularly susceptible to distortion and signal dropout near THRs.

Purpose of the Study:

  • To develop a diffusion-weighted imaging (DWI) sequence for prostate cancer screening in patients with metallic total hip replacements (THRs).
  • To achieve clinically feasible scan times while avoiding artifacts common with conventional Echo Planar Imaging (EPI).

Main Methods:

  • A reduced field of view (FOV) diffusion-prepared sequence utilizing high radiofrequency (RF) bandwidth pulses and stimulated echo pathways was developed.
  • Slice-select gradient reversal created a reduced FOV, and a 3D RF-spoiled gradient echo readout imaged the prepared magnetization.
  • The sequence was validated in phantoms, healthy volunteers (with/without THRs), and patients undergoing prostate MRI.

Main Results:

  • The proposed sequence demonstrated robustness against shading and distortion artifacts in the presence of off-resonance, unlike standard DWI-EPI.
  • Apparent diffusion coefficient (ADC) estimates from the new sequence were comparable to those from conventional DWI-EPI.

Conclusions:

  • Distortionless diffusion-weighted imaging of the prostate is achievable in patients with THRs using conventional 3T MRI.
  • The technique allows for prostate cancer screening with a b-value of 800 s/mm², 1.7x1.7x4 mm³ resolution, in a 6-minute scan time.