PS: It may be an issue that the images are still seperate in case you want to handle them as a single, dynamic 3d-volume during segmentation. In that case I'm afraid you have to somehow merge them to loading a single image block into MITK instead of separate images.
________________________________ Von: Dinkelacker, Stefan <s.dinkelac...@dkfz-heidelberg.de> Gesendet: Dienstag, 1. Dezember 2020 12:54 An: lorenzo bennati; mitk-users@lists.sourceforge.net Betreff: Re: [mitk-users] segmentation of mitral valve from sparse rotational MRI images Hi, it is totally possible to load let's say 18 dynamic (time-resolved) 2d images into MITK. As long as the images still contain their position and orientation meta data they will be positioned accordingly in space and time by MITK. You can then segment each image with the Segmentation or Multilabel Segmentation plugins. We had a lot of improvements in these plugins regarding dynamic images in the past months so it probably makes sense to try an unofficial recent installer instead of the last official release v2018.04.2. We are currently setting up our deployment infrastructure for recent installers. Ubuntu 18.04+ and macOS Mojave+ are already available. Windows will follow today or in the next days: https://www.mitk.org/download/ci/snapshots/ Best, Stefan ________________________________ Von: lorenzo bennati <bennaeba...@gmail.com> Gesendet: Donnerstag, 26. November 2020 16:52 An: mitk-users@lists.sourceforge.net Betreff: [mitk-users] segmentation of mitral valve from sparse rotational MRI images Hi everyone. I'm new to MITK. I have a sequence of Cine-MRI images of 18 evenly rotated long-axis (one every 10°) planes around the axis passing through the annular center of the mitral valve and aligned with the left ventricle. So i have only 2D slices in time. My question if in MITK it is possible to segment the leaflets and the mitral annulus starting from this kind of acquisition. To better understand the modality of acquisition i have attached an image representing my data acquisition protocol. Any help would be appreciated. Thank you very much
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