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Motion compensated projection reconstruction
T Schäffter1, V Rasche, I C Carlsen
1Philips Research Laboratories, Division Technical Systems, Hamburg, Germany. T.Schaeffter@pfh.research.philips.com
Abstract:
Over recent years, MRI has shown the capability for real-time applications. Although the acquisition times of fast MRI methods have been reduced significantly, patient motion during a magnetic resonance imaging (MRI) examination still causes artifacts in the image. In this paper, the effects of motion in MRI using a radial acquisition scheme are examined. It is shown that motion can be estimated without the use of additional measurement, based on the acquired projections only. A new reconstruction technique is introduced that integrates a motion compensation algorithm into the MR-reconstruction process, resulting in a significant reduction of blurring artifacts in the reconstructed images. The proposed method is applied to different kinds of motion such as kinetic joint studies.
Insights
Patient motion during magnetic resonance imaging (MRI) causes image artifacts. This study introduces a new MRI reconstruction technique to estimate and compensate for motion using only acquired data, significantly reducing blurring artifacts.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Radiology
Background:
- Real-time Magnetic Resonance Imaging (MRI) applications are advancing.
- Patient motion during MRI scans remains a significant challenge, causing image artifacts despite faster acquisition techniques.
Purpose of the Study:
- To examine the effects of patient motion on MRI images acquired using a radial trajectory.
- To develop and validate a novel MRI reconstruction method for motion artifact reduction.
Main Methods:
- Analysis of motion effects within a radial MRI acquisition scheme.
- Development of a motion estimation technique solely from acquired projection data.
- Integration of a motion compensation algorithm into the MRI reconstruction process.
Main Results:
- Motion can be accurately estimated without supplementary measurements, using only the raw projection data.
- The novel reconstruction technique significantly reduces blurring artifacts caused by patient motion.
- The method demonstrates effectiveness in various motion scenarios, including kinetic joint studies.
Conclusions:
- A new MRI reconstruction method effectively compensates for patient motion artifacts in radial acquisitions.
- This technique allows for improved image quality in real-time MRI applications, particularly for dynamic studies.