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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> | |
| <meta name="description" content="A Computational Environment for Radiological Research CERR"> | |
| <meta name="author" content="Joseph O. Deasy"> | |
| <meta name="author" content="Aditya P. Apte"> | |
| <link rel="stylesheet" href="CERR_core/WebPage/css/cerrstyle.css"> | |
| <title>A Computational Environment for Radiological Research</title> | |
| <!-- Bootstrap core CSS --> | |
| <link href="CERR_core/WebPage/vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet"> | |
| <!-- Custom styles for this template --> | |
| <link href="CERR_core/WebPage/css/2-col-portfolio.css" rel="stylesheet"> | |
| </head> | |
| <body> | |
| <!-- Navigation --> | |
| <nav class="navbar navbar-expand-lg navbar-light bg-light fixed-top"> | |
| <div class="container" id="navbar"> | |
| <a class="navbar-brand" href="">CERR</a> | |
| <button class="navbar-toggler" type="button" data-toggle="tab" data-target="#navbarResponsive" aria-controls="navbarResponsive" aria-expanded="false" aria-label="Toggle navigation"> | |
| <span class="navbar-toggler-icon"></span> | |
| </button> | |
| <div class="collapse navbar-collapse" id="navbarResponsive"> | |
| <ul class="nav navbar-nav nav-tabs ml-auto"> | |
| <li class="nav-item"> | |
| <a class="nav-link active" data-toggle="tab" href="#features">Features | |
| <span class="sr-only">(current)</span> | |
| </a> | |
| </li> | |
| <li class="nav-item"> | |
| <a class="nav-link" data-toggle="tab" href="#news">News | |
| </a> | |
| </li> | |
| <li class="nav-item"> | |
| <a class="nav-link" href="https://github.com/cerr/CERR/wiki">Wiki</a> | |
| </li> | |
| <li class="nav-item"> | |
| <a class="nav-link" href="https://groups.google.com/forum/#!forum/cerr-forum">User Group</a> | |
| </li> | |
| <li class="nav-item"> | |
| <a class="nav-link" data-toggle="tab" href="#team">Team</a> | |
| </li> | |
| </ul> | |
| </div> | |
| </div> | |
| </nav> | |
| <!-- Page Content --> | |
| <div class="tab-content"> | |
| <div class="tab-pane container fade" id="team"> | |
| <ul> | |
| <li> Aditya P. Apte, Ph.D. </li> | |
| <li> Aditi Iyer, M.S. </li> | |
| <li> Eve LoCastro, M.S. </li> | |
| <li> Joseph O. Deasy, Ph.D. </li> | |
| </ul> | |
| </div> | |
| <div class="tab-pane container fade" id="news"> | |
| <table class="news-table"> | |
| <tr> | |
| <th> Date </th> | |
| <th> Type </th> | |
| <th> Description </th> | |
| <th> GitHub hash </th> | |
| </tr> | |
| <tr> | |
| <td> 09/30/2020 </td> | |
| <td> Bug </td> | |
| <td> Based SUV calculation on type of Decay correction. Used Series time for decay correction = "START". Note that Acquisition time was used irrespective of decay correction type. </td> | |
| <td> a9cb4fd </td> | |
| </tr> | |
| <tr> | |
| <td> 10/12/2020 </td> | |
| <td> Bug </td> | |
| <td> Fixed bug where structure segments on 1st and last row of image were not rasterized. </td> | |
| <td> 95c4647 </td> | |
| </tr> | |
| </table> | |
| </div> | |
| <div class="tab-pane container active" id="features"> | |
| <!-- Page Heading --> | |
| <h1 class="my-4">A Computational Environment for Radiological Research | |
| <small>Features</small> | |
| </h1> | |
| <div class="row"> | |
| <div class="col-lg-6 portfolio-item"> | |
| <div class="card h-100"> | |
| <h4 class="card-title"> | |
| <a href="https://github.com/cerr/CERR/wiki/Auto-Segmentation-models">Deep Learning segmentation models</a> | |
| </h4> | |
| <a href="https://github.com/cerr/CERR/wiki/Auto-Segmentation-models"><img class="card-img-top" src="CERR_core/WebPage/images/dl_seg_container.png" alt=""></a> | |
| <div class="card-body"> | |
| <p class="card-text">CERR provides a platform to deploy deep learning segmentation models. | |
| Models can be deployed on Windows/Max/Linux operating systems via Singularity containers or Anaconda environments. | |
| CERR provides a large number of pre and post processing options to pass datasets to segmentation models. | |
| A library of models for segmenting structures useful for Radiotherapy outcomes modeling of Prostate, H&N and Lung is included. </p> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="col-lg-6 portfolio-item"> | |
| <div class="card h-100"> | |
| <h4 class="card-title"> | |
| <a href="https://github.com/cerr/CERR/wiki/Radiomics">Radiomics and Texture calculation</a> | |
| </h4> | |
| <a href="https://github.com/cerr/CERR/wiki/Radiomics"><img class="card-img-top" src="CERR_core/WebPage/images/texture_gui.png" alt=""></a> | |
| <div class="card-body"> | |
| <p class="card-text">CERR's Radiomics capabilities are built keeping in mind Speed, Quality Assurance and Interfacing with Clinical Software.</p> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="col-lg-6 portfolio-item"> | |
| <div class="card h-100"> | |
| <h4 class="card-title"> | |
| <a href="https://github.com/cerr/CERR/wiki/Importing-to-CERR">Data Import</a> | |
| </h4> | |
| <a href="https://github.com/cerr/CERR/wiki/Importing-to-CERR"><img class="card-img-top" src="CERR_core/WebPage/images/data_import.png" alt=""></a> | |
| <div class="card-body"> | |
| <p class="card-text">CERR can import data from a wide variety of formats such as RTOG, DICOM, MHA, NRRD. Various DICOM modalities like CT, PET, MR, US, MG, RTSTRUCT, PR, RTDOSE, RTPLAN are supported.</p> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="col-lg-6 portfolio-item"> | |
| <div class="card h-100"> | |
| <h4 class="card-title"> | |
| <a href="https://github.com/cerr/CERR/wiki/Contouring-tools">Contouring</a> | |
| </h4> | |
| <a href="https://github.com/cerr/CERR/wiki/Contouring-tools"><img class="card-img-top" src="CERR_core/WebPage/images/contouring_tools_brush_eraser.png" alt=""></a> | |
| <div class="card-body"> | |
| <p class="card-text">CERR provides Pencil, Brush and Active-contour based thresholding tools for manual segmentations. </p> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="col-lg-6 portfolio-item"> | |
| <div class="card h-100"> | |
| <h4 class="card-title"> | |
| <a href="https://github.com/cerr/CERR/wiki/dose-volume-histograms">Outcomes Modeling</a> | |
| </h4> | |
| <a href="https://github.com/cerr/CERR/wiki/dose-volume-histograms"><img class="card-img-top" src="CERR_core/WebPage/images/dvh_outcomes.png" alt=""></a> | |
| <div class="card-body"> | |
| <p class="card-text">CERR provides utility functions to batch extract dose volume histogram (DVH) based features. These features can be used for modeling toxicity and tumor control. </p> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="col-lg-6 portfolio-item"> | |
| <div class="card h-100"> | |
| <h4 class="card-title"> | |
| <a href="https://github.com/cerr/CERR/wiki/IMRT-optimization-interfacing-with-an-external-solver">IMRTP</a> | |
| </h4> | |
| <a href="https://github.com/cerr/CERR/wiki/IMRT-optimization-interfacing-with-an-external-solver"><img class="card-img-top" src="CERR_core/WebPage/images/imrtp_gui.jpg" alt=""></a> | |
| <div class="card-body"> | |
| <p class="card-text">CERR provides access to the underlying RTPLAN meta-data. The dose calculation options are QIB and Monte Carlo algorithms. The influence matrix and the beamlets are accessible for IMRTP research.</p> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="col-lg-6 portfolio-item"> | |
| <div class="card h-100"> | |
| <h4 class="card-title"> | |
| <a href="https://github.com/cerr/CERR/wiki/ROE">ROE</a> | |
| </h4> | |
| <a href="https://github.com/cerr/CERR/wiki/ROE"><img class="card-img-top" src="CERR_core/WebPage/images/roe.png" alt=""></a> | |
| <div class="card-body"> | |
| <p class="card-text">Radiotherapy Outcomes Explorer (ROE) is useful in exploring the clinical impact of scaling dose on Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP) in radiotherapy.</p> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="col-lg-6 portfolio-item"> | |
| <div class="card h-100"> | |
| <h4 class="card-title"> | |
| <a href="https://github.com/cerr/CERR/wiki/Data-Structure-(The-planC-object)">User-friendly access to RT and Radiology meta-data</a> | |
| </h4> | |
| <a href="https://github.com/cerr/CERR/wiki/Data-Structure-(The-planC-object)"><img class="card-img-top" src="CERR_core/WebPage/images/planC_structure.png" alt="" width="80" height="280"></a> | |
| <div class="card-body"> | |
| <p class="card-text">CERR provides an extensible data structure for radiotherapy and radiology objects. This makes it convenient to extract and transform the underlying data for prototyping algorithms.</p> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> <!-- end class="tab-content" --> | |
| <!-- /.row --> | |
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| <!-- Footer --> | |
| <footer class="py-1 bg-light fixed-bottom"> | |
| <div class="container"> | |
| <p class="m-0 text-center text-black">Copyright © CERR 2020</p> | |
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| <!-- /.container --> | |
| </footer> | |
| <!-- Bootstrap core JavaScript --> | |
| <script src="CERR_core/WebPage/vendor/jquery/jquery.min.js"></script> | |
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