diff --git a/Documentation/docs/learn/faq.md b/Documentation/docs/learn/faq.md index 2d63170622e..d72026212c4 100644 --- a/Documentation/docs/learn/faq.md +++ b/Documentation/docs/learn/faq.md @@ -134,13 +134,9 @@ in case of desperation. 1. Write a MetaImage header. This is a small text file holding information about the image: spacing, dimensions, pixelt type, etc. This header can hold the list of DICOM files you want to read. The - only restriction is that the files must be uncompressed. - The easy way to create a MetaImage header is to use the application: - `MetaImageImporter` that is available in - [ITKApps/MetaImageImporter](https://github.com/InsightSoftwareConsortium/ITKApps/tree/master/MetaImageImporter). - You can also take an existing MetaImage reader and modify it in - order to fit your needs. Please find attached one file that you - can edit it with your favorite text editor. + only restriction is that the files must be uncompressed. You can + take an existing MetaImage header and modify it in order to fit + your needs. 1. Use `MRIConvert`: Jolinda Smith from the Lewis Center for Neuroimaging at the University of Oregon developed a nice application that allows you to load DICOM series and export them in @@ -492,9 +488,7 @@ particular, you will find interesting the section where the mutual information metric is described. Examples on multimodality registration are available in -[Examples/RegistrationITKv4](https://github.com/InsightSoftwareConsortium/ITK/tree/master/Examples/RegistrationITKv4). A demo application using mutual -information is available under -[ITKApps/LandmarkInitializedMutualInformationRegistration](https://github.com/InsightSoftwareConsortium/ITKApps/tree/master/LandmarkInitializedMutualInformationRegistration). +[Examples/RegistrationITKv4](https://github.com/InsightSoftwareConsortium/ITK/tree/master/Examples/RegistrationITKv4). It is strongly recommended that you read the chapter on "Geometric Transformations" section, where resampling is explained, before you get