CN108770373B - 使用特征回归模型根据mr数据的伪ct生成 - Google Patents

使用特征回归模型根据mr数据的伪ct生成 Download PDF

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CN108770373B
CN108770373B CN201680072831.7A CN201680072831A CN108770373B CN 108770373 B CN108770373 B CN 108770373B CN 201680072831 A CN201680072831 A CN 201680072831A CN 108770373 B CN108770373 B CN 108770373B
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CN108770373A (zh
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韩晓
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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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    • G01R33/5608—Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels
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CN201680072831.7A 2015-10-13 2016-10-12 使用特征回归模型根据mr数据的伪ct生成 Active CN108770373B (zh)

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US14/881,903 US10307108B2 (en) 2015-10-13 2015-10-13 Pseudo-CT generation from MR data using a feature regression model
US14/881,903 2015-10-13
PCT/US2016/056538 WO2017066247A1 (en) 2015-10-13 2016-10-12 Pseudo-ct generation from mr data using a feature regression model

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US20170100078A1 (en) 2017-04-13
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AU2016338923A1 (en) 2018-04-26
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US10307108B2 (en) 2019-06-04
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