[Freesurfer] rcbf-prep outputting negative values

2014-10-22 Thread Asif Jamil
Hello,

I have pcASL data from a Siemens 3T scanner which I would like to process using 
the provided rcbf-prep command. The process completes smoothly without error. 
However when I inspect my roi.dat file, I observe that all the ROI values are 
actually negative, and seem to be beyond physiological CBF range  (~60-120 
ml/100g/min). 

The roi.dat file is pasted below. Would there be any reason to suspect that the 
tag-control subtraction might be running inverted?  I was trying to find a way 
to customize the command, but seems like there’s no option to specifying the 
order of tag and control. 

Any help would be appreciated!

Best,
Asif




# Title Segmentation Statistics 
# 
# generating_program mri_segstats
# cvs_version $Id: mri_segstats.c,v 1.101 2013/08/20 15:52:54 greve Exp $
# cmdline mri_segstats --seg /www/data/fMRI/subjects/PV/mri/aparc+aseg.mgz 
--ctab /www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/roi.table --i 
/www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/rcbf.anat.nii --sum 
/www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/roi.dat 
# sysname  Darwin
# hostname MBP-4.local
# machine  x86_64
# user asif
# anatomy_type volume
# 
# SegVolFile /www/data/fMRI/subjects/PV/mri/aparc+aseg.mgz 
# SegVolFileTimeStamp  2014/10/21 08:43:42 
# ColorTable /www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/roi.table 
# ColorTableTimeStamp 2014/10/22 15:52:27 
# InVolFile  /www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/rcbf.anat.nii 
# InVolFileTimeStamp  2014/10/22 16:00:34 
# InVolFrame 0 
# Only reporting non-empty segmentations
# VoxelVolume_mm3 1 
# TableCol  1 ColHeader Index 
# TableCol  1 FieldName Index 
# TableCol  1 Units NA 
# TableCol  2 ColHeader SegId 
# TableCol  2 FieldName Segmentation Id
# TableCol  2 Units NA
# TableCol  3 ColHeader NVoxels 
# TableCol  3 FieldName Number of Voxels
# TableCol  3 Units unitless
# TableCol  4 ColHeader Volume_mm3
# TableCol  4 FieldName Volume
# TableCol  4 Units mm^3
# TableCol  5 ColHeader StructName
# TableCol  5 FieldName Structure Name
# TableCol  5 Units NA
# TableCol  6 ColHeader Mean 
# TableCol  6 FieldName Intensity Mean
# TableCol  6 Units unknown
# TableCol  7 ColHeader StdDev
# TableCol  7 FieldName Itensity StdDev
# TableCol  7 Units unknown
# TableCol  8 ColHeader Min
# TableCol  8 FieldName Intensity Min
# TableCol  8 Units unknown
# TableCol  9 ColHeader Max
# TableCol  9 FieldName Intensity Max
# TableCol  9 Units unknown
# TableCol 10 ColHeader Range
# TableCol 10 FieldName Intensity Range
# TableCol 10 Units unknown
# NRows 114 
# NTableCols 10 
# ColHeaders  Index SegId NVoxels Volume_mm3 StructName Mean StdDev Min Max 
Range  
  1   0  15692031 15692031.0  Unknown  -74.0533   
149.7173  -409.6000   212.1609   621.7609 
  2   2223002   223002.0  Left-Cerebral-White-Matter  -225.7412
41.4942  -378.468443.0771   421.5454 
  3   4  5142 5142.0  Left-Lateral-Ventricle  -213.5301
25.6550  -268.4635  -140.5092   127.9543 
  4   5   210  210.0  Left-Inf-Lat-Vent   -250.1857
11.2349  -268.3093  -227.502840.8065 
  5   7 1220112201.0  Left-Cerebellum-White-Matter-184.3329   
132.5210  -314.1348 0.   314.1348 
  6   8 3882238822.0  Left-Cerebellum-Cortex  -106.5107   
126.4406  -397.5404 0.   397.5404 
  7  10  7802 7802.0  Left-Thalamus-Proper-256.3931
10.4379  -280.3882  -205.426774.9615 
  8  11  4000 4000.0  Left-Caudate-202.6371
20.4855  -256.5304  -151.9264   104.6040 
  9  12  6375 6375.0  Left-Putamen-225.6037
14.5390  -274.2597  -175.457798.8020 
 10  13  1502 1502.0  Left-Pallidum   -253.1898
12.3024  -277.3420  -185.777591.5645 
 11  14   550  550.0  3rd-Ventricle   -225.0951
31.5825  -306.7295  -134.6138   172.1157 
 12  15   964  964.0  4th-Ventricle   -212.5151   
112.4167  -288.3225 0.   288.3225 
 13  16 1818618186.0  Brain-Stem  -234.2281   
112.8928  -319.7348 0.   319.7348 
 14  17  4114 4114.0  Left-Hippocampus-261.7396
17.4063  -339.8024  -223.4028   116.3996 
 15  18  1513 1513.0  Left-Amygdala   -253.4237 
8.8525  -288.2225  -232.877755.3447 
 16  24   847  847.0  CSF -257.5531
13.5256  -300.9257  -212.227988.6977 
 17  26   535  535.0  Left-Accumbens-area -227.1246
45.3633  -360.7124  -138.9498   221.7626 
 18  28  3786 3786.0  Left-VentralDC  -270.4991
24.1379  -308.4358  -148.3388   160.0970 
 19  3035   35.0  Left-vessel -239.3001
10.2992  -259.7188  -227.277732.4411 
 20  31  1442 1442.0  Left-choroid-plexus

Re: [Freesurfer] rcbf-prep outputting negative values

2014-10-22 Thread Douglas N Greve

I'm not sure that anyone is maintaining this code any more. However, you 
can try running

mri_convert --nskip 1 asl.nii asl.skip.nii

and then use asl.skip.nii as input. This just removes the 1st frame so 
that the tag/control will be in the expected order

doug


On 10/22/2014 10:29 AM, Asif Jamil wrote:
> Hello,
>
> I have pcASL data from a Siemens 3T scanner which I would like to 
> process using the provided rcbf-prep command. The process completes 
> smoothly without error. However when I inspect my roi.dat file, I 
> observe that all the ROI values are actually negative, and seem to be 
> beyond physiological CBF range (~60-120 ml/100g/min).
>
> The roi.dat file is pasted below. Would there be any reason to suspect 
> that the tag-control subtraction might be running inverted? I was 
> trying to find a way to customize the command, but seems like there’s 
> no option to specifying the order of tag and control.
>
> Any help would be appreciated!
>
> Best,
> Asif
>
>
>
>
> # Title Segmentation Statistics
> #
> # generating_program mri_segstats
> # cvs_version $Id: mri_segstats.c,v 1.101 2013/08/20 15:52:54 greve Exp $
> # cmdline mri_segstats --seg 
> /www/data/fMRI/subjects/PV/mri/aparc+aseg.mgz --ctab 
> /www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/roi.table --i 
> /www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/rcbf.anat.nii --sum 
> /www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/roi.dat
> # sysname Darwin
> # hostname MBP-4.local
> # machine x86_64
> # user asif
> # anatomy_type volume
> #
> # SegVolFile /www/data/fMRI/subjects/PV/mri/aparc+aseg.mgz
> # SegVolFileTimeStamp 2014/10/21 08:43:42
> # ColorTable /www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/roi.table
> # ColorTableTimeStamp 2014/10/22 15:52:27
> # InVolFile 
> /www/data/fMRI/ANODAL/PV_2.0_hum_10387/ASL/30/rcbf/rcbf.anat.nii
> # InVolFileTimeStamp 2014/10/22 16:00:34
> # InVolFrame 0
> # Only reporting non-empty segmentations
> # VoxelVolume_mm3 1
> # TableCol 1 ColHeader Index
> # TableCol 1 FieldName Index
> # TableCol 1 Units NA
> # TableCol 2 ColHeader SegId
> # TableCol 2 FieldName Segmentation Id
> # TableCol 2 Units NA
> # TableCol 3 ColHeader NVoxels
> # TableCol 3 FieldName Number of Voxels
> # TableCol 3 Units unitless
> # TableCol 4 ColHeader Volume_mm3
> # TableCol 4 FieldName Volume
> # TableCol 4 Units mm^3
> # TableCol 5 ColHeader StructName
> # TableCol 5 FieldName Structure Name
> # TableCol 5 Units NA
> # TableCol 6 ColHeader Mean
> # TableCol 6 FieldName Intensity Mean
> # TableCol 6 Units unknown
> # TableCol 7 ColHeader StdDev
> # TableCol 7 FieldName Itensity StdDev
> # TableCol 7 Units unknown
> # TableCol 8 ColHeader Min
> # TableCol 8 FieldName Intensity Min
> # TableCol 8 Units unknown
> # TableCol 9 ColHeader Max
> # TableCol 9 FieldName Intensity Max
> # TableCol 9 Units unknown
> # TableCol 10 ColHeader Range
> # TableCol 10 FieldName Intensity Range
> # TableCol 10 Units unknown
> # NRows 114
> # NTableCols 10
> # ColHeaders Index SegId NVoxels Volume_mm3 StructName Mean StdDev Min 
> Max Range
> 1 0 15692031 15692031.0 Unknown -74.0533 149.7173 -409.6000 212.1609 
> 621.7609
> 2 2 223002 223002.0 Left-Cerebral-White-Matter -225.7412 41.4942 
> -378.4684 43.0771 421.5454
> 3 4 5142 5142.0 Left-Lateral-Ventricle -213.5301 25.6550 -268.4635 
> -140.5092 127.9543
> 4 5 210 210.0 Left-Inf-Lat-Vent -250.1857 11.2349 -268.3093 -227.5028 
> 40.8065
> 5 7 12201 12201.0 Left-Cerebellum-White-Matter -184.3329 132.5210 
> -314.1348 0. 314.1348
> 6 8 38822 38822.0 Left-Cerebellum-Cortex -106.5107 126.4406 -397.5404 
> 0. 397.5404
> 7 10 7802 7802.0 Left-Thalamus-Proper -256.3931 10.4379 -280.3882 
> -205.4267 74.9615
> 8 11 4000 4000.0 Left-Caudate -202.6371 20.4855 -256.5304 -151.9264 
> 104.6040
> 9 12 6375 6375.0 Left-Putamen -225.6037 14.5390 -274.2597 -175.4577 
> 98.8020
> 10 13 1502 1502.0 Left-Pallidum -253.1898 12.3024 -277.3420 -185.7775 
> 91.5645
> 11 14 550 550.0 3rd-Ventricle -225.0951 31.5825 -306.7295 -134.6138 
> 172.1157
> 12 15 964 964.0 4th-Ventricle -212.5151 112.4167 -288.3225 0. 
> 288.3225
> 13 16 18186 18186.0 Brain-Stem -234.2281 112.8928 -319.7348 0. 
> 319.7348
> 14 17 4114 4114.0 Left-Hippocampus -261.7396 17.4063 -339.8024 
> -223.4028 116.3996
> 15 18 1513 1513.0 Left-Amygdala -253.4237 8.8525 -288.2225 -232.8777 
> 55.3447
> 16 24 847 847.0 CSF -257.5531 13.5256 -300.9257 -212.2279 88.6977
> 17 26 535 535.0 Left-Accumbens-area -227.1246 45.3633 -360.7124 
> -138.9498 221.7626
> 18 28 3786 3786.0 Left-VentralDC -270.4991 24.1379 -308.4358 -148.3388 
> 160.0970
> 19 30 35 35.0 Left-vessel -239.3001 10.2992 -259.7188 -227.2777 32.4411
> 20 31 1442 1442.0 Left-choroid-plexus -230.4919 15.5479 -280.8550 
> -169.9589 110.8961
> 21 41 223786 223786.0 Right-Cerebral-White-Matter -226.0802 45.5920 
> -388.7630 99.2566 488.0197
> 22 43 4499 4499.0 Right-Lateral-Ventricle -218.3645 29.3800 -283.5730 
> -136.7349 146.8381
> 23 44 124 124.0 Right-Inf-Lat-Vent -224.9

[Freesurfer] Aparc stats with different input

2014-10-22 Thread Makaretz, Sara Johanna
Hi,
I have a PET volume that is registered to a recon, then projected to the 
surface via vol2surf. I would like to pull stats for the PET using aparc 
regions. Should I use mri_annotation2label, then pull stats for each label? Or 
is there something similar to mri_segstats, ie. --annot lh.aparc.annot --in 
pet_surf.mgz --ctab-default --sum stats.table ?
Thank you for your help!
Sara
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Re: [Freesurfer] Aparc stats with different input

2014-10-22 Thread Douglas N Greve

I would use mri_vol2vol to map the PET into the anatomical space, then 
use mri_segstats to compute the statistics.
doug


On 10/22/2014 02:50 PM, Makaretz, Sara Johanna wrote:
> Hi,
> I have a PET volume that is registered to a recon, then projected to the 
> surface via vol2surf. I would like to pull stats for the PET using aparc 
> regions. Should I use mri_annotation2label, then pull stats for each label? 
> Or is there something similar to mri_segstats, ie. --annot lh.aparc.annot 
> --in pet_surf.mgz --ctab-default --sum stats.table ?
> Thank you for your help!
> Sara
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>
>

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
www.nmr.mgh.harvard.edu/facility/filedrop/index.html
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[Freesurfer] Creating an ROI mask for Cortical Thickness Analysis

2014-10-22 Thread Smith, Michael
Hello Freesurfer’s

I am trying to look at the cortical thickness for a specific ROI on the 
cortical surface (Primary Auditory Cortex: transverse temporal gyri).  I found 
a specific tutorial 
(https://surfer.nmr.mgh.harvard.edu/fswiki/VolumeRoiCorticalThickness) however 
the tutorial assumes I already have an ROI mask  created.  I was wondering if 
anyone had any tips on creating an ROI for the cortical surface from the 
parcellation/annotation files.  I know you can “hand-draw” ROI’s in tkmedit or 
freeview but I would prefer something less subjective that doesn’t rely on my 
untrained eye and unsteady hand! Thanks in advance.

Best,

Michael S.

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[Freesurfer] Parenchyma over CSF ratio

2014-10-22 Thread Mahmoud
Dear all,

I used the the 3 steps of longitudinal analysis explained in freesurfer
longitudinal tutorial and need to compute the ratio Parenchyma/CSF for each
of time points. Is this equivalent to compute the  (total gray matter
volume + total cortical matter volume)/CSF from aseg.stats file ?

Thank you,
Mahmoud
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Re: [Freesurfer] Creating an ROI mask for Cortical Thickness Analysis

2014-10-22 Thread Douglas N Greve

Why not just get it from the ?h.aparc.stats file?

On 10/22/2014 03:43 PM, Smith, Michael wrote:
> Hello Freesurfer’s
>
> I am trying to look at the cortical thickness for a specific ROI on 
> the cortical surface (Primary Auditory Cortex: transverse temporal 
> gyri). I found a specific tutorial 
> (https://surfer.nmr.mgh.harvard.edu/fswiki/VolumeRoiCorticalThickness) 
> however the tutorial assumes I already have an ROI mask created. I was 
> wondering if anyone had any tips on creating an ROI for the cortical 
> surface from the parcellation/annotation files. I know you can 
> “hand-draw” ROI’s in tkmedit or freeview but I would prefer something 
> less subjective that doesn’t rely on my untrained eye and unsteady 
> hand! Thanks in advance.
>
> Best,
>
> Michael S.
>
>
>
> ___
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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
www.nmr.mgh.harvard.edu/facility/filedrop/index.html
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[Freesurfer] Sulcal CSF Volume

2014-10-22 Thread Mohammed Goryawala
Hello FreeSurfer Experts,

Is it possible to estimate the sulcal CSF volume in Freesurfer processing?
If not directly are there any indirect means that can give me an estimate?

Thank you

Mohammed Goryawala, PhD
Department of Radiology
Miller School of Medicine, University of Miami
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[Freesurfer] freesurfer trouble with FTLD subjects

2014-10-22 Thread Adam Mezher
Hi All,

I'm running a number of subjects who have FTLD and their
surfarce/parcellation outputs are quite poor (especially in the frontal
lobe obviously). Are there any expert commands that can be used to attempt
to fix this issue without having to do individual edits? Most of the
subjects have underestimations in most frontal gyri and insula.

Thanks a lot,
Adam

Adam Mezher
USC Imaging Genetics Center
Marina Del Rey, CA
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Re: [Freesurfer] freesurfer trouble with FTLD subjects

2014-10-22 Thread Bruce Fischl
Hi Adam

it's impossible to say without seeing some examples. If you upload a 
problematic subject (the entire subject directory from recon-all) we will 
take a look
cheers
Bruce
On Wed, 22 Oct 2014, Adam Mezher wrote:

> Hi All,
> I'm running a number of subjects who have FTLD and their
> surfarce/parcellation outputs are quite poor (especially in the frontal lobe
> obviously). Are there any expert commands that can be used to attempt to fix
> this issue without having to do individual edits? Most of the subjects have
> underestimations in most frontal gyri and insula.
> 
> Thanks a lot,
> Adam
> 
> Adam Mezher
> USC Imaging Genetics Center
> Marina Del Rey, CA
> 
>
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[Freesurfer] longitudinal base template creation with one timepoint

2014-10-22 Thread Tracy Melzer
Dear FreeSurfer Experts,

I am interested in how the longitudinal stream creates a base template with 
only a single image. Could someone please explain how or point me to a 
reference as to how this is accomplished?

Thank you,
Tracy Melzer

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Re: [Freesurfer] longitudinal base template creation with one timepoint

2014-10-22 Thread Martin Reuter
Hi Tracy,
When you call recon-all -base simply pass only the single time point -tp.
Best Martin


Sent via my smartphone, please excuse brevity.

 Original message From: Tracy Melzer 
 Date:10/22/2014  10:59 PM  (GMT-05:00) 
To: freesurfer@nmr.mgh.harvard.edu Subject: [Freesurfer] 
longitudinal base template creation with one timepoint 
Dear FreeSurfer Experts,

I am interested in how the longitudinal stream creates a base template with 
only a single image. Could someone please explain how or point me to a 
reference as to how this is accomplished? 

Thank you,
Tracy Melzer

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Re: [Freesurfer] longitudinal base template creation with one timepoint

2014-10-22 Thread Tirrell, Lee
Hi Tracy,

You can check out this page , on our FreeSurferWiki to find out more 
information on longitudinal processing:
https://surfer.nmr.mgh.harvard.edu/fswiki/LongitudinalProcessing
Also, our database of publications related to FreeSurfer in general is here:
https://www.zotero.org/freesurfer

Best,
Lee


From: freesurfer-boun...@nmr.mgh.harvard.edu 
[mailto:freesurfer-boun...@nmr.mgh.harvard.edu] On Behalf Of Tracy Melzer
Sent: Wednesday, October 22, 2014 11:00 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: [Freesurfer] longitudinal base template creation with one timepoint

Dear FreeSurfer Experts,

I am interested in how the longitudinal stream creates a base template with 
only a single image. Could someone please explain how or point me to a 
reference as to how this is accomplished?

Thank you,
Tracy Melzer

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