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FMRI: Biological Basis and Experiment Design Lecture 19: Data formats and data path DICOM DICOM servers Conversion between formats Slice-time correction.

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Presentation on theme: "FMRI: Biological Basis and Experiment Design Lecture 19: Data formats and data path DICOM DICOM servers Conversion between formats Slice-time correction."— Presentation transcript:

1 fMRI: Biological Basis and Experiment Design Lecture 19: Data formats and data path DICOM DICOM servers Conversion between formats Slice-time correction and trend removal 1 light year = 5,913,000,000,000 miles?

2 DICOM – it's not just a file format

3 Typical directory after a scan

4 Mosaics time MR-ST001-SE005-0007.dcm MR-ST001-SE005-0006.dcm MR-ST001-SE005-0005.dcm MR-ST001-SE005-0004.dcm MR-ST001-SE005-0003.dcm MR-ST001-SE005-0002.dcm MR-ST001-SE005-0001.dcm

5 Getting the data home Plan A: push data to a convenient DICOM server in your department Plan B: push data to Drei (PC in console room); zip scanning session together and ftp it home. Plan C: burn CDs with data (directly from scanner, or from Drei)

6 Useful file formats and analysis packages Analyze (.hdr/.img pair) Nifti (.hdr/.img pair) ???.fmr;.amr;.vmr ??? SPM FSL AFNI BrainVoyager Freesurfer AIR, NIS

7 Converting between formats Some packages will read DICOM and convert to their preferred format Some command line tools exist (e.g. dinifti from NYU) Some tools exist (e.g. MRIcro)

8

9 Typical pre-processing path Slice-time correction Motion compensation Normalization by mean Trend removal –Linear? –High-pass filter?

10 Slice-time correction TR 1 3 5 2 4Slice order:1 3 5 2 4... Uncorrected data: erroneously assign acquired signal to start of TR Corrected data: interpolate to estimate signal at start of TR True signal Interpolate to estimate signal at start of TR

11 Trend removal - frequency domain Sgl pixel FFT Stimulus response affected because cut-off was too close to stim frequency BeforeAfter


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