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Geometric distortion in magnetic resonance imaging systems assessed using an open-source plugin for scientific image analysis.

A new interesting article has been published in Radiol Phys Technol. 2018 Sep 25. doi: 10.1007/s12194-018-0477-y. and titled:

Geometric distortion in magnetic resonance imaging systems assessed using an open-source plugin for scientific image analysis.

Authors of this article are:
Aoyama T Shimizu H Shimizu I Teramoto A Kaneda N Nakamura K Nakamura M Kodaira T.

A summary of the article is shown below:
Tumor locations are commonly delineated by referring to magnetic resonance (MR) images. However, MR images have geometric distortions that cannot be completely corrected. This study aimed to investigate quantitatively uncorrectable error [residual error (RE)] with the use of an open-source plugin for scientific image analysis. The RE values were calculated by Fiji, which was enhanced by Image J image processing software. The results obtained with the open-source plugin for scientific image analysis agreed with the results obtained with the commercially available software. Obtaining detailed geometric distortion data for each facility and device could facilitate safe treatment because the homogeneous magnetic field in MR imaging varies across devices and over time. Therefore, using an open-source plugin for scientific image analysis may be an accurate and effective technique for evaluating the RE of MR imaging systems.

Check out the article’s website on Pubmed for more information:



This article is a good source of information and a good way to become familiar with topics such as: Image distortion;Magnetic resonance imaging;Open-source plugin for scientific image analysis;Residual error;Stereotactic radiation therapy.

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