Alignment and Atlases

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-92-Using the same methods as before (i.e., select marker toggle, move focus there, [Set]),you must mark these extreme points of the cerebrum➥ Using 2 or 3 image windows at a time is useful➥ Hardest marker to select is [Most inferior point] in the temporal lobe, since itis near other (non-brain) tissue:Sagittal view:most inferiorpointAxial view:most inferiorpoint➥ Once all 6 are set, press [Quality?] to see if the distances are reasonable➭ Leave [Big Talairach Box?] Pressed IN➭ Is a legacy from earliest (1994-6) days of AFNI, when 3D box size of +tlrcdatasets was 10 mm smaller in I-direction than the current default
-93- Once the quality check is passed, click on [Transform Data] to save the+tlrc header ls ⇒ The newly created +tlrc dataset, anat+tlrc.HEAD, is located in ourdemo_tlrc/ directory➥ At this point, the following anatomical datasets should be found in ourdemo_tlrc/ directory:anat+orig.HEAD anat+orig.BRIKanat+acpc.HEADanat+tlrc.HEAD➥ In addition, the following functional dataset (which I -- the instructor --created earlier) should be stored in the demo_tlrc/ directory:func_slim+orig.HEADfunc_slim+orig.BRIK➭ Note that this functional dataset is in the +orig format (not +acpc or+tlrc)
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-4-Alignment tools in AFNI (continu
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-6-• Most image registration meth
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-8-• AFNI program 3dvolreg is for
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-11-Motion correction - caveats•
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-13-align_epi_anat.py• Goal: Want
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-15-Alignment Visualization in AFNI
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-17-Rat BrainsAlignmentof12hourMang
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-19-ATLASES
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-21-ATLAS DEFINITIONSTemplate Space
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-23-Registration To Standard Spaces
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-25-• Hidden in GUI - right click
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-27-• Stage 2: Scaling to Talaira
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-29-Automatic Talairach Transformat
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-31-Templates included with AFNITT_
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-33-Applying a transform to followe
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-35-@auto_tlrc Results are Comparab
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-37-Atlas/Template Spaces Differ In
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-39-From Space To SpaceTLRCMNIMNI-A
Page 41 and 42: -41-Atlases Distributed With AFNITT
Page 43 and 44: -43-Atlases Distributed With AFNI:A
Page 45 and 46: -45-[Where am I?]Shows you where yo
Page 47 and 48: -47-• whereami can report on the
Page 49 and 50: -49-The Future …• New atlases -
Page 51 and 52: -51-Neighborhoods in Space -Transfo
Page 53 and 54: -53-• Histogram cartoons:IIIJJJ
Page 55 and 56: -55-• grayscale underlay = J(x) =
Page 57 and 58: -57-• The future for 3dAllineate:
Page 59 and 60: -59-Appendix AInter-subject, inter-
Page 61 and 62: -61-• Anatomical coverage differs
Page 63 and 64: -63- Solutions to these problems:
Page 65 and 66: -65- Recipe above does not address
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Page 69 and 70: -69-Algorithmic Features• Goal is
Page 72 and 73: -72-Mutual Information• Entropy o
Page 74 and 75: -74-Hellinger Metric• MI can be t
Page 76 and 77: -76-3dAllineateʼs Symmetrical CR
Page 78 and 79: -78-Test: Monkey EPI - Anat6 DOFHEL
Page 80 and 81: -80-Test: Monkey EPI - Anat11 DOFHE
Page 82 and 83: -82-• Listen up folks, IMPORTANT
Page 84 and 85: -84- First goal is to mark top midd
Page 86 and 87: -86-• AC-PC Markers Cheat Sheet T
Page 88 and 89: -88-Notes on positioning AC/PC mark
Page 90 and 91: -90-• Scaling to Talairach-Tourno
Page 94 and 95: -94-• Automatic creation of “fo
Page 96 and 97: -96-“Warp on demand” viewing of
Page 98 and 99: -98-• Class example - Writing ana
Page 100 and 101: -100- Examination of time series fr
Page 102 and 103: -102-Real-Time 3D Image Registratio
Page 104: -104-• Screen capture fromexample
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