Evaluation of image quality of MRI data for brain tumor surgery

Frank Heckel; Felix Arlt; Benjamin Geisler; Stephan Zidowitz; Thomas Neumuth

doi:10.1117/12.2214944

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24 March 2016 Evaluation of image quality of MRI data for brain tumor surgery

Frank Heckel, Felix Arlt, Benjamin Geisler, Stephan Zidowitz, Thomas Neumuth

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Proceedings Volume 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment; 97871L (2016) https://doi.org/10.1117/12.2214944
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

3D medical images are important components of modern medicine. Their usefulness for the physician depends on their quality, though. Only high-quality images allow accurate and reproducible diagnosis and appropriate support during treatment. We have analyzed 202 MRI images for brain tumor surgery in a retrospective study. Both an experienced neurosurgeon and an experienced neuroradiologist rated each available image with respect to its role in the clinical workflow, its suitability for this specific role, various image quality characteristics, and imaging artifacts. Our results show that MRI data acquired for brain tumor surgery does not always fulfill the required quality standards and that there is a significant disagreement between the surgeon and the radiologist, with the surgeon being more critical. Noise, resolution, as well as the coverage of anatomical structures were the most important criteria for the surgeon, while the radiologist was mainly disturbed by motion artifacts.

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Frank Heckel, Felix Arlt, Benjamin Geisler, Stephan Zidowitz, and Thomas Neumuth "Evaluation of image quality of MRI data for brain tumor surgery", Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97871L (24 March 2016); https://doi.org/10.1117/12.2214944

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