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software based on the interactive data language (idl, exelis visual information solutions)  (Exelis Visual Information Solutions Inc)

 
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    Exelis Visual Information Solutions Inc software based on the interactive data language (idl, exelis visual information solutions)
    Software Based On The Interactive Data Language (Idl, Exelis Visual Information Solutions), supplied by Exelis Visual Information Solutions Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/software+based+on+interactive+data+language/in+house+software+written+in+idl/pmc05743012-88-13-17
    Average 90 stars, based on 1 article reviews
    software based on the interactive data language (idl, exelis visual information solutions) - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Software:

    Article Title: Chemical Exchange Saturation Transfer MR Imaging of Articular Cartilage Glycosaminoglycans at 3T: Accuracy of B 0 Field Inhomogeneity Corrections with Gradient Echo Method
    Article Snippet: .. All the image analysis was finished using in-house developed software based on the Interactive Data Language (IDL, Exelis Visual Information Solutions, Boulder, CO) environment. ..

    Article Title: 14th National Congress of the Italian Association of Nuclear Medicine and Molecular Imaging (AIMN)
    Article Snippet: .. Five textural features derived from the intensity-histogram of the lesion volume: standard deviation, skewness, kurtosis, coefficient of variation, area under cumulative SUV-volume histogram curve (AUC-SHC) were calculated using an in-house software written in IDL (Exelis Visual Information Solutions, Inc.) also used for the MTV calculation. .. Twelve textural features derived from the three-dimensional grey levels co-occurrence matrix: uniformity, entropy, correlation, contrast, homogeneity, variance, sum mean, dissimilarity, cluster shade, cluster tendency, max probability, inverse variance were calculated using the Matlab (The MatWorks, Inc.) function cooc3D.m.

    Article Title: Response-Derived Input Function Estimation for Dynamic Contrast-Enhanced MRI Demonstrated by Anti-DLL4 Treatment in a Murine U87 Xenograft Model.
    Article Snippet: Purpose: Dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) is an accepted method to evaluate tumor perfusion and permeability and anti-vascular cancer therapies.. However, there is no consensus on the vascular input function estimation method, which is critical to kinetic modeling and K estimation.. This work proposes a response-derived input function (RDIF) estimated from the response of the tumor, modeled as a linear, time-invariant

    Article Title: Broca’s area – Thalamic connectivity
    Article Snippet: .. MR data were processed with in-house software written in Interactive Data Language (IDL; Exelis Visual Information Systems, Boulder, CO) and FMRIB Software Library ( www.fmrib.ox.ac.uk/fsl ). ..

    Article Title: Annual Congress of the European Association of Nuclear Medicine October 13 - 17, 2018 Düsseldorf, Germany.
    Article Snippet: .. An in-house software written in IDL (Exelis Visual Information Solutions, Inc.) was used to calculate MTV with a 40% SUVmax threshold and 5 texture indices derived from the intensity-histogram of the lesion volume: Standard deviation, Skewness, Kurtosis, Coefficient of variation, Area under cumulative SUV-volume histogram curve (AUC-SHC). .. Moreover, the Matlab (The MatWorks, Inc.) cooc3D.m function was used to calculate the other 12 texture indices derived from the three-dimensional grey level co-occurrence matrix: Uniformity, Entropy, Correlation, Contrast, Homogeneity, Variance, Sum mean, Dissimilarity, Cluster shade, Cluster tendency, Max probability, Inverse variance.

    Article Title: Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial
    Article Snippet: .. Centralized DW MRI analysis was performed by trained researchers at University of California, San Francisco, who were blinded to pathologic outcomes (final review performed by J.E.G., with more than 10 years of quantitative breast MR analysis experience), using custom software tools developed with IDL (Exelis Visual Information Solutions, Boulder, Colo). ..

    Article Title: Normative vertebral deformity measurements in a clinically relevant population using magnetic resonance imaging
    Article Snippet: .. Deformities were quantified using software written in Interactive Data Language (Exelis Visual Information Solutions, Inc . , Boulder, Colorado) described previously by Rajapakse et al [ ]. ..

    Article Title: Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL
    Article Snippet: .. Data analysis Image feature measurements were done using in-house software BRTOOL developed with IDL (Exelis Visual Information Solutions, Boulder, Colorado). ..

    Derivative Assay:

    Article Title: 14th National Congress of the Italian Association of Nuclear Medicine and Molecular Imaging (AIMN)
    Article Snippet: .. Five textural features derived from the intensity-histogram of the lesion volume: standard deviation, skewness, kurtosis, coefficient of variation, area under cumulative SUV-volume histogram curve (AUC-SHC) were calculated using an in-house software written in IDL (Exelis Visual Information Solutions, Inc.) also used for the MTV calculation. .. Twelve textural features derived from the three-dimensional grey levels co-occurrence matrix: uniformity, entropy, correlation, contrast, homogeneity, variance, sum mean, dissimilarity, cluster shade, cluster tendency, max probability, inverse variance were calculated using the Matlab (The MatWorks, Inc.) function cooc3D.m.

    Article Title: Annual Congress of the European Association of Nuclear Medicine October 13 - 17, 2018 Düsseldorf, Germany.
    Article Snippet: .. An in-house software written in IDL (Exelis Visual Information Solutions, Inc.) was used to calculate MTV with a 40% SUVmax threshold and 5 texture indices derived from the intensity-histogram of the lesion volume: Standard deviation, Skewness, Kurtosis, Coefficient of variation, Area under cumulative SUV-volume histogram curve (AUC-SHC). .. Moreover, the Matlab (The MatWorks, Inc.) cooc3D.m function was used to calculate the other 12 texture indices derived from the three-dimensional grey level co-occurrence matrix: Uniformity, Entropy, Correlation, Contrast, Homogeneity, Variance, Sum mean, Dissimilarity, Cluster shade, Cluster tendency, Max probability, Inverse variance.

    Standard Deviation:

    Article Title: 14th National Congress of the Italian Association of Nuclear Medicine and Molecular Imaging (AIMN)
    Article Snippet: .. Five textural features derived from the intensity-histogram of the lesion volume: standard deviation, skewness, kurtosis, coefficient of variation, area under cumulative SUV-volume histogram curve (AUC-SHC) were calculated using an in-house software written in IDL (Exelis Visual Information Solutions, Inc.) also used for the MTV calculation. .. Twelve textural features derived from the three-dimensional grey levels co-occurrence matrix: uniformity, entropy, correlation, contrast, homogeneity, variance, sum mean, dissimilarity, cluster shade, cluster tendency, max probability, inverse variance were calculated using the Matlab (The MatWorks, Inc.) function cooc3D.m.

    Article Title: Annual Congress of the European Association of Nuclear Medicine October 13 - 17, 2018 Düsseldorf, Germany.
    Article Snippet: .. An in-house software written in IDL (Exelis Visual Information Solutions, Inc.) was used to calculate MTV with a 40% SUVmax threshold and 5 texture indices derived from the intensity-histogram of the lesion volume: Standard deviation, Skewness, Kurtosis, Coefficient of variation, Area under cumulative SUV-volume histogram curve (AUC-SHC). .. Moreover, the Matlab (The MatWorks, Inc.) cooc3D.m function was used to calculate the other 12 texture indices derived from the three-dimensional grey level co-occurrence matrix: Uniformity, Entropy, Correlation, Contrast, Homogeneity, Variance, Sum mean, Dissimilarity, Cluster shade, Cluster tendency, Max probability, Inverse variance.

    Magnetic Resonance Imaging:

    Article Title: Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial
    Article Snippet: .. Centralized DW MRI analysis was performed by trained researchers at University of California, San Francisco, who were blinded to pathologic outcomes (final review performed by J.E.G., with more than 10 years of quantitative breast MR analysis experience), using custom software tools developed with IDL (Exelis Visual Information Solutions, Boulder, Colo). ..



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