diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/Preproc_Recons/QmitkDiffusionImagingPreprocessingPage.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/Preproc_Recons/QmitkDiffusionImagingPreprocessingPage.dox index d22b91e24f..ea1537cd97 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/Preproc_Recons/QmitkDiffusionImagingPreprocessingPage.dox +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/Preproc_Recons/QmitkDiffusionImagingPreprocessingPage.dox @@ -1,10 +1,9 @@ /** -\page QmitkDiffusionImagingUserManualPreprocessingPage Preprocessing of Diffusion Images +\page QmitkDiffusionImagingPreprocessingPage Preprocessing of Diffusion Images - - -\section QmitkDiffusionImagingUserManualPreprocessing Preprocessing +\section QmitkDiffusionImagingPreprocessingPagePreprocessing Preprocessing The preprocessing view gives an overview over the important features of a diffusion weighted image like the number of gradient directions, b-value and the measurement frame. Additionally it allows the extraction of the B0 image, reduction of gradient directions and the generation of a binary brain mask. The image volume can be modified by applying a new mesurement frame, which is useful if the measurement frame is not set correctly in the image header, or by averaging redundant gradient directions. -\imageMacro{prepro1.png,"Preprocessing",9.97} \ No newline at end of file +\imageMacro{prepro1.png,"Preprocessing",9.97} +*/ \ No newline at end of file diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkDiffusionImagingPortalPage.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkDiffusionImagingPortalPage.dox index 2d5b3fae0e..febe34b347 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkDiffusionImagingPortalPage.dox +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkDiffusionImagingPortalPage.dox @@ -1,82 +1,82 @@ /** \page org_mitk_gui_qt_diffusionimaging MITK Diffusion Imaging (MITK-DI) \tableofcontents This module provides means to diffusion weighted image reconstruction, visualization and quantification. Diffusion tensors as well as different q-ball reconstruction schemes are supported. Q-ball imaging aims at recovering more detailed information about the orientations of fibers from diffusion MRI measurements and, in particular, to resolve the orientations of crossing fibers. \section org_mitk_gui_qt_diffusionimagingComponents Components MITK Diffusion consists of further components, which have their own documentation, see: \subsection org_mitk_gui_qt_diffusionimagingComponentsDataImport Data Import \li \subpage QmitkDiffusionImagingDataImportPage \subsection org_mitk_gui_qt_diffusionimagingComponentsPreprocessingAndReconstruction Preprocessing and Reconstruction Register or denoise original data and convert it into tensor or q-ball images. \li \subpage QmitkDiffusionImagingDWIRegistrationPage - \li \subpage QmitkDiffusionImagingUserManualPreprocessingPage + \li \subpage QmitkDiffusionImagingPreprocessingPage \li \subpage QmitkDiffusionImagingReconstructionPage \li \subpage org_mitk_views_odfdetails \li \subpage org_mitk_views_odfmaximaextraction \li \subpage org_mitk_views_denoisingview \subsection org_mitk_gui_qt_diffusionimagingComponentsFiberTracking Fiber Tracking Create and work with fiber tractographies. \li \subpage org_mitk_views_fiberprocessing \li \subpage org_mitk_views_gibbstracking \li \subpage org_mitk_views_stochasticfibertracking \li \subpage org_mitk_views_fiberextraction \li \subpage org_mitk_views_fiberprocessing \li \subpage org_mitk_views_streamlinetracking \li \subpage org_mitk_views_fiberfoxview \li \subpage org_mitk_views_fieldmapgenerator \subsection org_mitk_gui_qt_diffusionimagingComponentsQuantification Quantification Create parameter maps and quantify different properties. \li \subpage org_mitk_views_ivim \li \subpage org_mitk_views_partialvolumeanalysisview \li \subpage org_mitk_views_tractbasedspatialstatistics \subsection org_mitk_gui_qt_diffusionimagingComponentsConnectomics Connectomics Create and analyse connectome networks. \li \subpage org_mitk_diffusionimagingapp_perspectives_connectomics \section org_mitk_gui_qt_diffusionimagingIssues Known Issues \li Dicom Import: The dicom import has so far only been implemented for Siemens dicom images. MITK-DI is capable of reading the nrrd format, which is documented elsewhere [1, 2]. These files can be created by combining the raw image data with a corresponding textual header file. The file extension should be changed from *.nrrd to *.dwi or from *.nhdr to *.hdwi respectively in order to let MITK-DI recognize the diffusion related header information provided in the files. \section org_mitk_gui_qt_diffusionimagingTechnicalDetails Technical Information for Developers The diffusion imaging module uses additional properties beside the ones in use in other modules, for further information see \ref DiffusionImagingPropertiesPage . \section org_mitk_gui_qt_diffusionimagingReferences References Further reading regarding diffusion: 1. http://teem.sourceforge.net/nrrd/format.html 2. http://www.cmake.org/Wiki/Getting_Started_with_the_NRRD_Format 3. C.F.Westin, S.E.Maier, H.Mamata, A.Nabavi, F.A.Jolesz, R.Kikinis, "Processing and visualization for Diffusion tensor MRI", Medical image Analysis, 2002, pp 93-108 5. Tuch, D.S., 2004. Q-ball imaging. Magn Reson Med 52, 1358-1372. 6. Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R., 2007. Regularized, fast, and robust analytical Q-ball imaging. Magn Reson Med 58, 497-510. 7. Aganj, I., Lenglet, C., Sapiro, G., 2009. ODF reconstruction in q-ball imaging with solid angle consideration. Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging Boston, MA. 8. Goh, A., Lenglet, C., Thompson, P.M., Vidal, R., 2009. Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv LNCS 5761, 877 ff. 9. J.-D. Tournier, S. Mori, A. Leemans., 2011. Diffusion Tensor Imaging and Beyond. Magn Reson Med 65, 1532-1556. */ \ No newline at end of file