Medinria manual9/21/2023 ![]() ![]() In march 2007, MedINRIA was migrated to the INRIA gforge, a complete and performant framework for developers, including a source code manager server, forums, mailing lists and trackers (bugs, patches, etc.). Obtained segmentation can be visualized in 2D and 3D, they can be saved and statistics can be computed. DifferentĬolors can be attributed to each lesions for visual distinction. Automatic segmentation is based on a region growing algorithm acting on both image and image gradient. In the semi-automatic mode, the user only needs to spot the lesion and click inside it, and the segmentation is achieved automatically. ![]() Lesions can be quantified (volume, number, etc.). Lesions Segmentation Comparator: These two applications were developed by Jean-Christophe Souplet and propose manual and semi-automatic segmention methods of multiple sclerosis (MS) lesions. Moreover, for aīetter clinical integration, we worked on developing an automatic DICOM importer (DICOM is the file format most often encountered in clinics). Many features are available: possibility to color code images with a lookup table, to manually segment them, and to compare all of them in a preview mode. Visualize 3D images either in 2D (slice mode), or in 3D (using volume rendering or multi-planar reconstruction). A non-linear registration algorithm, the diffeomorphic demons by Tom Vercauterenġ bottom left and right): This more generic application was missing in the first release of MedINRIA. Among many improvements of these two initial softwares, new applications were released during 2007:ġ top right): Funded by the Health-e-Child European project, RegistrationTool is a general image registrationĪpplication that proposes, in a few clicks, to register manually or fully automatically two 3D medical images. “Tensor Viewer” (Tensor field visualization). Last year, only two applications were available: “DTI Track” (DT-MRI processing with Log-Euclidean metrics) and MedINRIA is a collection of softwares with a well defined application. MedINRIA has grown fast, and is now becoming a reference not only in the medical image processing community, but also in a clinicalĮnvironment thanks to the efforts we put to develop an intuitive, reactive and easy-to-use user interface. Its development started in 2006 with the venue of Nicolas Toussaint. ) is the new front end software for the Asclepios Project. Pierre Fillard, Nicolas Toussaint, Jean-Christophe Souplet, Maxime Sermesant, Christine Lebrun, Grégoire Malandain. Medical imaging, image processing, MRI, DTI, f-MRI, fiber tracking, Log Euclidian, registration, MS, tractography, tensor. ![]()
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