Dear Fengong Chen, could you please clarify what acquisition sequence do you use (which b-values and what size has the image)? And also what do you mean by denominating a single slice as ‘the best slice’? It looks like the original data (with the 162 slices) is not sorted into volumes by the corresponding b-values. This is the default behavior of MITK when dealing with diffusion-weighted MRI. You see the volume at once and by using the component slider ( in the context menu that appears after a right mouse click on the image node in the DataManager ) you can switch between the different b-values. If my assumptions are correct, you will find your 120th slice in the 8th component as the second slice. However, the numbers you write do not fit into my interpretation as I would expect you to have either 153 slices ( this would mean 9 b-values ) or 170 slices ( 10 b-values ). Best, Jan
From: fnchen.kth [mailto:fnchen....@gmail.com] Sent: Dienstag, 6. Oktober 2015 12:05 To: mitk-users Subject: [mitk-users] the best slice of IVIM _Fengnong Chen Dear all, My research forcus on breast cancer of IVIM. I get the best slice in original MRI-IVIM sequence, for example, the best slice is 120th in total 162 slices. But when I import the sequence into MITK, the axial just show 17 slice as the reason of being combined into a vector. So, my question is how to get the best slice in axial vector ? Thank you very much in advance. 2015-10-06 ________________________________ With best regards, Fengnong Chen. ----------------------------------------------------------- KTH Royal Institute of Technology STH School of Technology and Health Alfred Nobels Alle 10 SE-14152 Huddinge Stockholm, Sweden +46 700708477 http://www.kth.se/en/sth
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