![]() ![]() There is likely a simple answer to correcting the image geometry, but we have not been successful thus far. We are stuck with the images from PACS and cannot reconstruct the raw data from the scanner (screenshot attached). However, when we create a new series in Osirix only including the Chest images (exported from the original CAP series with non-regular slice intervals), the chest images still appear “stretched” in the z-axis. Our project involves only the Chest and so we are hoping to remove the Abdomen/Pelvis image from the series altogether and return the Chest images to their normal geometry. A single app on the mobile device helps physicians to connect to the PACS and view patients’ medical images. ![]() The application was actually primarily designed to work on mobile devices, including iPad and iPhone. ![]() When we look at a coronal MPR of the data in a standard DICOM viewer (Osirix) we get a distorted image (screenshot attached), presumably because the slice interval is 4 times less for the Chest (0.625) compared to the Abdomen/Pelvis (2.5). This is a free DICOM software for Mac, designed by a German company, and is compatible with the Mac operating system. With FastSpring, companies sell more, stay lean, and compete big. In brief, some of the Full body (CAP) CT studies at our institution are sent to PACS reconstructed as 1.25/0.625mm slice thickness/interval in the Chest, and then 2.5/2.5 mm slice thickness/interval for the Abdomen/Pelvis, and all images are stacked in a combined CAP series. FastSpring is a trusted global full-service SaaS ecommerce partner for software companies. ![]()
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