A 3D MR-acquisition scheme for nonrigid bulk motion correction in simultaneous PET-MR

Christoph Kolbitsch1, Claudia Prieto1, Charalampos Tsoumpas2

  • 1Division of Imaging Sciences and Biomedical Engineering, King's College London, London SE1 7EH, United Kingdom.

Medical Physics
|August 4, 2014
PubMed
Abstract

Insights

A new 3D MRI method accurately detects and corrects patient motion during simultaneous PET-MR scans. This improves image quality and ensures accurate tumor uptake quantification, crucial for cancer diagnosis.

Area of Science:

  • Medical Imaging
  • Radiology
  • Biophysics

Background:

  • Positron emission tomography (PET) and magnetic resonance imaging (MRI) are vital for cancer diagnosis.
  • Simultaneous PET-MR systems offer complementary data but are affected by patient motion.
  • Nonrigid bulk motion during scans degrades image quality and quantification accuracy.

Purpose of the Study:

  • To present a 3D MR-acquisition scheme for detecting and correcting nonrigid bulk motion in simultaneous PET-MR data.
  • To assess the impact of motion correction on PET-MR image quality and tracer uptake quantification.
  • To maintain high image resolution and accuracy without increasing scan time.

Main Methods:

  • A respiratory-navigated 3D MR-acquisition with Radial Phase Encoding (RPE) was used.
  • T1- and T2-weighted data were acquired with 1.5 mm isotropic resolution.
  • Simulated PET data was used to evaluate motion correction's effect on Standardized Uptake Values (SUV).

Main Results:

  • Successfully detected all bulk motion shifts with motion fields accurate to 1.71 ± 0.29 mm.
  • Reduced SUV errors from up to 67% to under 10% with the proposed motion compensation.
  • Acquired six respiratory-gated 3D datasets in healthy volunteers.

Conclusions:

  • The MR acquisition scheme provides high-resolution 3D anatomical and motion data without increasing scan time.
  • The method significantly improves both MR and PET image quality.
  • Ensures accurate assessment of tracer uptake for improved cancer diagnosis.

Related Concept Videos