Hi Ani

using sphere is as close as we come to equal area. The difference in Gaussian curvature between the sphere and the cortex make this a non-trivial problem.

cheers
Bruce


On Fri, 25 Aug 2017, Aniqa Dalowr wrote:

Also I tried using both lh.sphere and lh.sphere.reg and in both cases, the 
patches arent equal in
surface area. There is a lot of variablility in surface area and the number of 
vertices. Please see
below. Is there a way to generate roughly equal size patches ?
Thank you,

Ani

USING lh.sphere in the mris_make_face_parcellation step

mris_anatomical_stats -a lh.ic1.annot -b bert lh

computing statistics for each annotation in lh.ic1.annot.

reading volume /Applications/freesurfer5.3/subjects//bert/mri/wm.mgz...

reading input surface 
/Applications/freesurfer5.3/subjects//bert/surf/lh.white...

reading input pial surface 
/Applications/freesurfer5.3/subjects//bert/surf/lh.pial...

reading input white surface 
/Applications/freesurfer5.3/subjects//bert/surf/lh.white...

reading colortable from annotation file...

colortable with 42 entries read (originally 
/Applications/freesurfer5.3/lib/bem/ic1.tri)


table columns are:

    number of vertices

    total surface area (mm^2)

    total gray matter volume (mm^3)

    average cortical thickness +- standard deviation (mm)

    integrated rectified mean curvature

    integrated rectified Gaussian curvature

    folding index

    intrinsic curvature index

    structure name


 3003   1916   5416  2.489 1.079     0.119     0.043       36     5.9  
ic1.tri_vertex_0

 1834   1136   3495  2.706 0.877     0.125     0.098       33     9.1  
ic1.tri_vertex_1

 3900   2607   7660  2.589 0.719     0.138     0.047       65     7.2  
ic1.tri_vertex_2

 2642   1817   6685  3.022 0.701     0.138     0.051       38     5.3  
ic1.tri_vertex_3

 2584   1723   4305  2.325 0.647     0.128     0.041       30     4.5  
ic1.tri_vertex_4

 2920   1857   5725  2.444 0.597     0.140     0.055       48     5.8  
ic1.tri_vertex_5

 3273   2153   5148  2.275 0.701     0.133     0.042       43     5.1  
ic1.tri_vertex_6

 3067   2057   5496  2.511 0.899     0.121     0.034       33     4.1  
ic1.tri_vertex_7

 3062   2032   5701  2.577 0.760     0.122     0.036       73     4.8  
ic1.tri_vertex_8

 2561   1711   4119  2.324 0.843     0.122     0.036       27     3.9  
ic1.tri_vertex_9

 3771   2485   5211  1.996 0.686     0.150     0.053       57     8.4  
ic1.tri_vertex_10

 3161   2056   5323  2.256 1.418     0.115     0.063       41    10.5  
ic1.tri_vertex_11

 2901   1843   5209  2.442 0.744     0.116     0.048       39     6.2  
ic1.tri_vertex_12

 2606   1597   4923  2.738 0.690     0.122     0.059       60     8.2  
ic1.tri_vertex_13

 3201   2024   5676  2.518 1.156     0.120     0.046       47     6.1  
ic1.tri_vertex_14

 2773   1820   5356  2.494 0.709     0.138     0.048       52     5.7  
ic1.tri_vertex_15

 3014   2009   5838  2.448 0.607     0.137     0.042       40     4.7  
ic1.tri_vertex_16

 2830   1831   4750  2.330 1.164     0.121     0.048       56     4.5  
ic1.tri_vertex_17

 2562   1688   4790  2.399 0.625     0.137     0.041       34     4.2  
ic1.tri_vertex_18

 3426   2311   6400  2.410 1.448     0.136     0.148      151    12.1  
ic1.tri_vertex_19

 3174   2114   7074  2.738 1.159     0.133     0.069       57     6.4  
ic1.tri_vertex_20

 4168   2800  10961  3.074 0.904     0.146     0.150      130     9.4  
ic1.tri_vertex_21

 3168   2152   6826  2.749 0.684     0.124     0.036       36     4.7  
ic1.tri_vertex_22

 4735   3193  10350  2.681 0.653     0.152     0.057       91    11.0  
ic1.tri_vertex_23

 2135   1433   3968  2.511 0.727     0.126     0.044       24     3.6  
ic1.tri_vertex_24

 2722   1839   5346  2.594 0.871     0.121     0.034       30     3.5  
ic1.tri_vertex_25

 2334   1517   3672  2.380 0.830     0.129     0.043      128     3.7  
ic1.tri_vertex_26

 3167   2082   5127  2.295 0.600     0.136     0.046       41     6.1  
ic1.tri_vertex_27

 3160   2112   5358  2.452 0.916     0.125     0.040       39     5.1  
ic1.tri_vertex_28

 4252   2749   6928  2.203 0.636     0.143     0.051       64     9.0  
ic1.tri_vertex_29

 4375   2865   6826  2.199 0.646     0.132     0.042       54     7.4  
ic1.tri_vertex_30

 5192   3235   7301  2.004 0.656     0.161     0.080       95    19.8  
ic1.tri_vertex_31

 2115   1377   3391  2.411 0.762     0.126     0.048       59     4.0  
ic1.tri_vertex_32

 2403   1622   5521  2.877 0.790     0.131     0.045       28     4.2  
ic1.tri_vertex_33

 2128   1400   3425  2.400 1.097     0.119     0.036       24     3.3  
ic1.tri_vertex_34

 4474   2989   9551  2.636 0.632     0.153     0.087     1057    21.4  
ic1.tri_vertex_35

 3590   2437   6230  2.517 0.832     0.128     0.037       40     5.4  
ic1.tri_vertex_36

 3845   2558   6271  2.349 1.188     0.112     0.046       56     8.7  
ic1.tri_vertex_37

 2913   2084   6148  2.577 1.276     0.129     0.069       51    10.8  
ic1.tri_vertex_38

 4012   2586   6930  2.363 0.945     0.134     0.051       62     7.5  
ic1.tri_vertex_39

 3217   2108   4696  2.173 1.013     0.131     0.045       41     5.3  
ic1.tri_vertex_40

 2713   1785   4349  2.408 1.149     0.108     0.038       28     3.5  
ic1.tri_vertex_41



USING sphere.reg in the mris_make_face_parcellation step

mris_anatomical_stats -a lh.ic1.annot -b bert lh

computing statistics for each annotation in lh.ic1.annot.

reading volume /Applications/freesurfer5.3/subjects//bert/mri/wm.mgz...

reading input surface 
/Applications/freesurfer5.3/subjects//bert/surf/lh.white...

reading input pial surface 
/Applications/freesurfer5.3/subjects//bert/surf/lh.pial...

reading input white surface 
/Applications/freesurfer5.3/subjects//bert/surf/lh.white...

reading colortable from annotation file...

colortable with 42 entries read (originally 
/Applications/freesurfer5.3/lib/bem/ic1.tri)


table columns are:

    number of vertices

    total surface area (mm^2)

    total gray matter volume (mm^3)

    average cortical thickness +- standard deviation (mm)

    integrated rectified mean curvature

    integrated rectified Gaussian curvature

    folding index

    intrinsic curvature index

    structure name


 2584   1657   5000  2.640 1.040     0.120     0.041       30     4.4  
ic1.tri_vertex_0

 2173   1376   3765  2.450 1.215     0.114     0.088       43     5.0  
ic1.tri_vertex_1

 4114   2767   8489  2.654 0.747     0.141     0.049       68     7.9  
ic1.tri_vertex_2

 2252   1523   5735  3.015 0.666     0.136     0.052       32     4.1  
ic1.tri_vertex_3

 3489   2298   5803  2.350 0.626     0.129     0.041       39     6.1  
ic1.tri_vertex_4

 2291   1447   4650  2.511 0.584     0.140     0.054       38     4.3  
ic1.tri_vertex_5

 3069   2027   5018  2.342 0.656     0.127     0.045       36     4.4  
ic1.tri_vertex_6

 3280   2185   6272  2.596 0.822     0.122     0.036       36     4.6  
ic1.tri_vertex_7

 2793   1862   5136  2.564 0.802     0.120     0.035       70     4.2  
ic1.tri_vertex_8

 3018   2006   4855  2.367 0.915     0.121     0.053       48     8.4  
ic1.tri_vertex_9

 4496   2879   6014  1.969 0.655     0.158     0.060       72    11.7  
ic1.tri_vertex_10

 2780   1798   4086  2.171 1.348     0.112     0.036       30     3.9  
ic1.tri_vertex_11

 2449   1559   4574  2.538 0.761     0.117     0.042       31     4.6  
ic1.tri_vertex_12

 2663   1645   4811  2.653 0.706     0.123     0.059       61     8.3  
ic1.tri_vertex_13

 2646   1687   4989  2.629 1.017     0.122     0.047       38     5.3  
ic1.tri_vertex_14

 2772   1778   5350  2.498 0.725     0.135     0.057       53     7.5  
ic1.tri_vertex_15

 3321   2222   6174  2.399 0.609     0.135     0.040       43     4.9  
ic1.tri_vertex_16

 2587   1682   4071  2.241 1.268     0.119     0.049       33     4.7  
ic1.tri_vertex_17

 2490   1638   4703  2.407 0.655     0.137     0.042       56     4.1  
ic1.tri_vertex_18

 3013   2014   5542  2.389 1.494     0.132     0.093      123     9.0  
ic1.tri_vertex_19

 3558   2361   7437  2.711 1.091     0.133     0.108       78     9.1  
ic1.tri_vertex_20

 3877   2642  10218  3.067 0.849     0.143     0.151      119     8.1  
ic1.tri_vertex_21

 2764   1886   6179  2.792 0.694     0.126     0.036       32     4.4  
ic1.tri_vertex_22

 4841   3245  10279  2.666 0.644     0.149     0.056       89    10.9  
ic1.tri_vertex_23

 2447   1635   4160  2.408 0.766     0.123     0.042       27     3.8  
ic1.tri_vertex_24

 3231   2207   6247  2.577 0.901     0.121     0.034       35     4.1  
ic1.tri_vertex_25

 2712   1782   4440  2.424 0.820     0.130     0.041      133     4.3  
ic1.tri_vertex_26

 2493   1651   3941  2.240 0.620     0.135     0.047       32     4.6  
ic1.tri_vertex_27

 3221   2160   5530  2.401 0.866     0.131     0.042       44     5.5  
ic1.tri_vertex_28

 2861   1868   4979  2.278 0.629     0.139     0.049       42     6.1  
ic1.tri_vertex_29

 3848   2533   6384  2.237 0.626     0.134     0.043       50     7.0  
ic1.tri_vertex_30

 5010   3161   6623  1.960 0.649     0.153     0.062       81    12.7  
ic1.tri_vertex_31

 2121   1339   3709  2.530 0.675     0.127     0.070       27     8.2  
ic1.tri_vertex_32

 2595   1780   6760  3.033 0.775     0.145     0.053       38     5.6  
ic1.tri_vertex_33

 2171   1423   3370  2.315 0.978     0.117     0.041       57     3.9  
ic1.tri_vertex_34

 4394   2929   9412  2.626 0.640     0.155     0.088     1058    21.1  
ic1.tri_vertex_35

 3497   2360   6031  2.517 0.829     0.128     0.037       39     5.2  
ic1.tri_vertex_36

 5280   3516   8942  2.291 1.352     0.112     0.048       59    12.4  
ic1.tri_vertex_37

 2863   1992   5636  2.570 1.269     0.125     0.072       50    11.0  
ic1.tri_vertex_38

 4379   2793   7687  2.335 0.768     0.144     0.071       77    14.0  
ic1.tri_vertex_39

 3561   2357   5512  2.250 0.866     0.139     0.047       49     6.4  
ic1.tri_vertex_40

 3079   2042   4960  2.378 1.119     0.117     0.038       38     4.7  
ic1.tri_vertex_41


On Fri, Aug 25, 2017 at 3:16 PM, Aniqa Dalowr <aniqa...@gmail.com> wrote:
      Thank you for your quick reply. This is dividing the cortex into 642 
patches. Is there a
      way to divide it into say 50 patches ? Can I specify the number ?
      Thank you,

Ani

On Fri, Aug 25, 2017 at 2:56 PM, Bruce Fischl <fis...@nmr.mgh.harvard.edu> 
wrote:
      mris_make_face_parcellation should be able to do this
      On Fri, 25 Aug 2017, Aniqa Dalowr wrote:

            Hi All,
            I want to divide the cortex into patches that have the ~ same 
surface
            area.
            Is there a quick way to do that ?

            Please let me know,

            Thanks

            Ani 


_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer


The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.




_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer


The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.

Reply via email to