Last modified by puchades on 2022/02/18 13:55
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... ... @@ -12,24 +12,19 @@ 12 12 13 13 === Open QuickNII and load your images === 14 14 15 - Openthe QuickNIIprogram from the .exe file. Once the program opens,click the **Manage data button**andloadyour XML file.15 +==== You can also add images ==== 16 16 17 - A detailled QuickNII usermanual as wells a demodataset can be found on [[https:~~/~~/www.nitrc.org/projects/quicknii/>>https://www.nitrc.org/projects/quicknii/]]17 +[[image:Collaboratory.Apps.Article.Code.ArticleSheet@placeholder.jpg]] 18 18 19 - >The idea istodeterminethe cuttingangles (dorso-ventral andmedio-lateral) for the whole serie as these shouldbeconsistent. Once found in a few sections, apply the same angles to the rest of the serie.19 +Photo by David Clode 20 20 21 - **Thebasicstepsare:**21 +==== Or code ==== 22 22 23 - - (% style="color:#000000" %)Openone image in thebeginningof theseriesanduse anatomical landmarks to findtheapproximateanteroposterior positionofthesection. Select the atlas modality to beoverlayed to the image (MRI, Atlas, etc..)23 +Code blocks can be added by using the code macro: 24 24 25 -- **The transparency slider** can be used continuously to determine how well the atlas fits the section. Determine the sectioning angles (dorso-ventral and medio-lateral) by tilting the atlas and adjust the atlas borders. 26 - 27 -- Save the positions for this section for now, you can adjust these later. 28 - 29 -- Open the next image, located at the other end of the serie and repeat the same procedure as above i.e. (% style="color:#000000" %)find the approximate anteroposterior position of the section and test how well the cutting angles fit this section. Save the positions. 30 - 31 -(% style="color:#000000" %)- Explore a few sections in order to find the angles fitting most sections in order to achieve a global anchoring. 32 - 33 -(% style="color:#000000" %)- By having the same angles in these two sections (i.e. ML=+1; DV= -4), QuickNII will apply them to all other sections located in between. The antero-posterior positions of all images are also estimated 34 - 35 - 25 +{{code language="python"}} 26 +x = 1 27 +if x == 1: 28 + # indented four spaces 29 + print("x is 1.") 30 +{{/code}}