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<meta name="author" content="Joseph O. Deasy">
<meta name="author" content="Aditya P. Apte">
<title>A Computational Environment for Radiological Research</title>
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<h1 class="my-4">A Computational Environment for Radiological Research
<small>Features</small>
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<a href="#">User-friendly access to RT and Radiology meta-data</a>
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<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>
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<a href="#">Outcomes Modeling</a>
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<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>
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<a href="#">Radiomics</a>
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<p class="card-text">CERR's Radiomics capabilities are built keeping in mind Speed, Quality Assurance and Interfacing with Clinical Software.</p>
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<a href="#">IMRTP</a>
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<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>
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<a href="#">Data Import</a>
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<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>
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<a href="#">Contouring</a>
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<p class="card-text">CERR provides Pencil, Brush and Active-contour based thresholding tools for manual segmentations. </p>
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