Int J Comput Assist Radiol Surg - Usability of unbiased nonlocal means for de-noising intraoperative magnetic resonance images in neurosurgery.

Tópicos

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Resumo

RPOSE: Intraoperative magnetic resonance imaging (iMRI) is a powerful tool that allows real-time image-guided excision of brain tumors. However, low magnetic field iMRI devices may produce low-quality images due to nonideal imaging conditions in the operating room and additional noise of unknown origin. The purpose of this study was to evaluate a three-dimensional unbiased nonlocal means filter for iMRI (UNLM-i) that we developed in order to enhance image quality and increase the diagnostic value of iMRI.METHODS: We first evaluated the effect of UNLM by assessing the modulation transfer function (MTF) and Weiner spectrum (WS) of UNLM in simulated imaging. We then tested the diagnostic value of UNLM-i de-noising by applying it to a series of randomly chosen iMR images that were assessed by 4 neurosurgeons and 4 radiological technologists using a 5-point rating scale to compare 13 parameters, including tumor visibility, edema, and sulci, before and after de-noising.RESULTS: Unbiased nonlocal means provided better MTF in comparison with other filters, and the WS for UNLM de-noising was reduced for all spatial frequencies. Postprocessing UNLM-i allowed de-noising with preserved edges and >twofold improvement in the signal-to-noise ratio without extending the MRI scanning time (p< 0.001) . The diagnostic value of UNLM-i de-noising was rated as "superior" or "better" in >80 % of cases in terms of contrast between white and gray matter and visibility of sulci, tumor, and edema (p< 0.001).CONCLUSIONS: Unbiased nonlocal means filter for iMRI de-noising proved very useful for image quality enhancement and assistance in the interpretation of iMR images.

Resumo Limpo

rpose intraop magnet reson imag imri power tool allow realtim imageguid excis brain tumor howev low magnet field imri devic may produc lowqual imag due nonid imag condit oper room addit nois unknown origin purpos studi evalu threedimension unbias nonloc mean filter imri unlmi develop order enhanc imag qualiti increas diagnost valu imrimethod first evalu effect unlm assess modul transfer function mtf weiner spectrum ws unlm simul imag test diagnost valu unlmi denois appli seri random chosen imr imag assess neurosurgeon radiolog technologist use point rate scale compar paramet includ tumor visibl edema sulci denoisingresult unbias nonloc mean provid better mtf comparison filter ws unlm denois reduc spatial frequenc postprocess unlmi allow denois preserv edg twofold improv signaltonois ratio without extend mri scan time p diagnost valu unlmi denois rate superior better case term contrast white gray matter visibl sulci tumor edema p conclus unbias nonloc mean filter imri denois prove use imag qualiti enhanc assist interpret imr imag

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