58 research outputs found

    Mean distance, maximal distance and metrics of different algorithms.

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    <p>Mean distance, maximal distance and metrics of different algorithms.</p

    Statistic box-plots of registration results in terms of NC and NMI.

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    <p>(a) NC parameters for box-plots. (b) NMI parameters for box-plots. In CT image registration cases, these methods are represented by appending a suffix 1 (e.g. Global1) to the name abbreviations, while in MRI image cases, the suffix 2 is added to their name abbreviations (e.g. Global2).</p

    Rapidly identify compounds from danshen by using ultra-high-performance liquid chromatography coupled with linear ion trap-Orbitrap mass spectrometer and predict its mechanisms of intervening thrombotic diseases

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    Danshen, having good efficacies of dilating the coronary artery, improving microcirculation and preventing thrombosis, is widely used in clinic to treat various thrombotic diseases in China. This study aimed to identifying and analyzing the chemical constituents of Danshen from different planting areas based on UHPLC-LTQ-Orbitrap MS and comprehensively predicting the potential pharmacological targets and pathways of the main chemical constituents that involve in the treatment of thrombotic diseases by using network pharmacology. As a result, we identified 870 single peaks from total ion current and accurately identified 19 compounds from Danshen in this study. Further analysis showed that these compounds had three types of accumulation patterns and contents of most compounds had significant differences in samples from different planting areas. Network pharmacological analysis showed that Tanshinone IIA, Tanshinone IIB, Dehydromiltirone, Cryptotanshinone, Danshenxinkun A, Danshenxinkun B and Neocryptotanshinone might intervene thrombotic diseases by adjusting the targets mainly involved in pathways of endocrine system, signal transduction, signaling molecules and interaction, cell motility, environmental adaptation and nervous system. This study provides a scientific basis for exploring the mechanism of Danshen in treating thrombotic diseases and controlling the quality of Danshen-related preparations. </p

    Medical images examples for method evaluation.

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    <p>(a) reference image of chest CT image pairs,(b) floating image of chest CT image pairs, (c) reference image of brain MR image pairs, (d) floating image of brain MR image pairs.</p

    The reference image, corresponding floating image and the registration results.

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    <p>(a) The reference image attached 40 points (in red color and with white indexes) as registration ground truth; (b) and (c) are the floating image attached 40 points (in green color and with white indexes); (d) and (e) are the color images of deformations.</p

    The average metric values of different algorithms (Mean value (95%CI)).

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    <p>The average metric values of different algorithms (Mean value (95%CI)).</p

    Reference image, the corresponding floating image and registration result.

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    <p>The first two rows present the reference image, the floating image and the registration results with the RBM method, LFEM method, DFEM method and NFEM method. The bottom row shows the subtraction images before registration and the ones using RBM and NFEM methods. Circles in (e) and (f) highlight the local differences in the subtraction image.</p

    The average metric values of different algorithms for CT chest images (Mean value (95%CI)).

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    <p>The average metric values of different algorithms for CT chest images (Mean value (95%CI)).</p
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