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A novel forward projection-based metal artifact reduction method for flat-detector computed tomography.

Daniel Prell¹, Yiannis Kyriakou, Marcel Beister

¹Institute of Medical Physics, University of Erlangen-Nürnberg, Henkestrasse 91, Erlangen, Germany. daniel.prell@imp.uni-erlangen.de

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|October 15, 2009

Summary

This study introduces a new GPU-accelerated method to reduce metallic artifacts in flat-detector computed tomography (FD-CT) images. The technique significantly improves image quality by correcting raw data, enabling clearer visualization of implants and surrounding tissues.

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Area of Science:

Medical Imaging
Computed Tomography
Image Reconstruction

Background:

Metallic implants in patients cause significant streak-like artifacts in flat-detector computed tomography (FD-CT) images, hindering accurate diagnosis.
Current artifact reduction methods often lack efficiency or compromise image resolution.

Purpose of the Study:

To develop and evaluate a novel, GPU-accelerated method for reducing metallic artifacts in FD-CT.
To improve the diagnostic quality of volumetric images containing metallic implants.

Main Methods:

A three-step raw data correction procedure was implemented, working directly with individual detector elements.
The method involves 3D interpolation, segmentation of the corrected volume, and forward projection to replace corrupted attenuation values.
Graphics Processing Units (GPUs) were utilized to minimize computation times.

Main Results:

Significant reduction in metal artifacts, with CT value deviations typically below 20 HU and image noise below 5 HU.
No significant loss of image resolution was observed, even near metallic inserts.
The novel method demonstrated superior performance compared to traditional 3D interpolation correction techniques.
Correction times were substantially reduced, with final corrected images available rapidly due to GPU acceleration.

Conclusions:

The proposed GPU-accelerated, raw data-based correction method effectively reduces metallic artifacts in FD-CT.
This technique offers a significant improvement in image quality and diagnostic utility for patients with metallic implants.
The method is applicable across various anatomical regions, including the knee, head, and spine.