Paper
24 March 2016 Evaluation of image quality of MRI data for brain tumor surgery
Frank Heckel, Felix Arlt, Benjamin Geisler, Stephan Zidowitz, Thomas Neumuth
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 3 scholarly publications and 2 patents.
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KEYWORDS
Image quality

Surgery

Magnetic resonance imaging

Brain

Tumors

Medical imaging

Neuroimaging

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