Problemas con el procesamiento de FBB y como no morir en el intento

bulk conversion

Voy a escribir un procedimiento nuevo para la conversion de DCM a NIfTI aprovechando que tengo nuevos procedimientos y software para todo.

Primero,

[osotolongo@detritus facehbi]$ ls /nas/clinic/facehbi
FACEHBI-F001B  FACEHBI-F018B  FACEHBI-F036B  FACEHBI-F055B  FACEHBI-F072B  FACEHBI-F088B  FACEHBI-F105B  FACEHBI-F122B	FACEHBI-F139B  FACEHBI-F155B  FACEHBI-F171B  FACEHBI-F191B  FACEHBI-F208B
FACEHBI-F002B  FACEHBI-F019B  FACEHBI-F037B  FACEHBI-F056B  FACEHBI-F073B  FACEHBI-F089B  FACEHBI-F106B  FACEHBI-F123B	FACEHBI-F140B  FACEHBI-F156B  FACEHBI-F173B  FACEHBI-F192B  FACEHBI-F209B
FACEHBI-F003B  FACEHBI-F020B  FACEHBI-F038B  FACEHBI-F057B  FACEHBI-F074B  FACEHBI-F090B  FACEHBI-F107B  FACEHBI-F124B	FACEHBI-F141B  FACEHBI-F157B  FACEHBI-F174B  FACEHBI-F193B  FACEHBI-F210B
FACEHBI-F004B  FACEHBI-F021B  FACEHBI-F039B  FACEHBI-F058B  FACEHBI-F075B  FACEHBI-F091B  FACEHBI-F108B  FACEHBI-F125B	FACEHBI-F142B  FACEHBI-F158B  FACEHBI-F175B  FACEHBI-F194B  FACEHBI-F211B
FACEHBI-F005B  FACEHBI-F022B  FACEHBI-F040B  FACEHBI-F059B  FACEHBI-F076B  FACEHBI-F092B  FACEHBI-F109B  FACEHBI-F126B	FACEHBI-F143B  FACEHBI-F159B  FACEHBI-F177B  FACEHBI-F195B  FACEHBI-F212B
FACEHBI-F006B  FACEHBI-F023B  FACEHBI-F041B  FACEHBI-F060B  FACEHBI-F077B  FACEHBI-F093B  FACEHBI-F110B  FACEHBI-F127B	FACEHBI-F144B  FACEHBI-F160B  FACEHBI-F178B  FACEHBI-F196B  FACEHBI-F213B
FACEHBI-F007B  FACEHBI-F024B  FACEHBI-F042B  FACEHBI-F061B  FACEHBI-F078B  FACEHBI-F094B  FACEHBI-F111B  FACEHBI-F128B	FACEHBI-F145B  FACEHBI-F161B  FACEHBI-F179B  FACEHBI-F197B  FACEHBI-F214B
FACEHBI-F008B  FACEHBI-F025B  FACEHBI-F043B  FACEHBI-F062B  FACEHBI-F079B  FACEHBI-F095B  FACEHBI-F112B  FACEHBI-F129B	FACEHBI-F146B  FACEHBI-F162B  FACEHBI-F181B  FACEHBI-F198B  FACEHBI-F215B
FACEHBI-F009B  FACEHBI-F026B  FACEHBI-F044B  FACEHBI-F063B  FACEHBI-F080B  FACEHBI-F096B  FACEHBI-F113B  FACEHBI-F130B	FACEHBI-F147B  FACEHBI-F163B  FACEHBI-F182B  FACEHBI-F199B
FACEHBI-F010B  FACEHBI-F027B  FACEHBI-F047B  FACEHBI-F064B  FACEHBI-F081B  FACEHBI-F097B  FACEHBI-F115B  FACEHBI-F131B	FACEHBI-F148B  FACEHBI-F164B  FACEHBI-F183B  FACEHBI-F200B
FACEHBI-F011B  FACEHBI-F028B  FACEHBI-F048B  FACEHBI-F065B  FACEHBI-F082B  FACEHBI-F098B  FACEHBI-F116B  FACEHBI-F132B	FACEHBI-F149B  FACEHBI-F165B  FACEHBI-F184B  FACEHBI-F201B
FACEHBI-F012B  FACEHBI-F029B  FACEHBI-F049B  FACEHBI-F066B  FACEHBI-F083B  FACEHBI-F099B  FACEHBI-F117B  FACEHBI-F133B	FACEHBI-F150B  FACEHBI-F166B  FACEHBI-F185B  FACEHBI-F202B
FACEHBI-F013B  FACEHBI-F030B  FACEHBI-F050B  FACEHBI-F068B  FACEHBI-F084B  FACEHBI-F101B  FACEHBI-F118B  FACEHBI-F134B	FACEHBI-F151B  FACEHBI-F167B  FACEHBI-F186B  FACEHBI-F203B
FACEHBI-F014B  FACEHBI-F031B  FACEHBI-F052B  FACEHBI-F069B  FACEHBI-F085B  FACEHBI-F102B  FACEHBI-F119B  FACEHBI-F135B	FACEHBI-F152B  FACEHBI-F168B  FACEHBI-F188B  FACEHBI-F204B
FACEHBI-F015B  FACEHBI-F033B  FACEHBI-F053B  FACEHBI-F070B  FACEHBI-F086B  FACEHBI-F103B  FACEHBI-F120B  FACEHBI-F136B	FACEHBI-F153B  FACEHBI-F169B  FACEHBI-F189B  FACEHBI-F205B
FACEHBI-F017B  FACEHBI-F035B  FACEHBI-F054B  FACEHBI-F071B  FACEHBI-F087B  FACEHBI-F104B  FACEHBI-F121B  FACEHBI-F137B	FACEHBI-F154B  FACEHBI-F170B  FACEHBI-F190B  FACEHBI-F207B
[osotolongo@detritus facehbi]$ dcm2niix -o tmp -z y /nas/clinic/facehbi/FACEHBI-F001B/DICOM/
Chris Rorden's dcm2niiX version v1.0.20180622 (JP2:OpenJPEG) (JP-LS:CharLS) GCC5.5.0 (64-bit Linux)
Found 620 DICOM file(s)
Convert 109 DICOM as tmp/DICOM_FACEHBI_Florbetaben_20min_20141211120511_5 (400x400x109x1)
compress: "/usr/local/mricron/pigz_mricron" -n -f -6 "tmp/DICOM_FACEHBI_Florbetaben_20min_20141211120511_5.nii"
Convert 75 DICOM as tmp/DICOM_FACEHBI_20141211120511_3 (512x512x75x1)
compress: "/usr/local/mricron/pigz_mricron" -n -f -6 "tmp/DICOM_FACEHBI_20141211120511_3.nii"
Convert 436 DICOM as tmp/DICOM_FACEHBI_Florbetaben_4x5min_20141211120511_4 (400x400x109x4)
compress: "/usr/local/mricron/pigz_mricron" -n -f -6 "tmp/DICOM_FACEHBI_Florbetaben_4x5min_20141211120511_4.nii"
Conversion required 105.374635 seconds (6.340000 for core code).
[osotolongo@detritus facehbi]$ ls tmp
DICOM_FACEHBI_20141211120511_3.json    DICOM_FACEHBI_Florbetaben_20min_20141211120511_5.json	DICOM_FACEHBI_Florbetaben_4x5min_20141211120511_4.json
DICOM_FACEHBI_20141211120511_3.nii.gz  DICOM_FACEHBI_Florbetaben_20min_20141211120511_5.nii.gz	DICOM_FACEHBI_Florbetaben_4x5min_20141211120511_4.nii.gz
[osotolongo@detritus facehbi]$ for x in tmp/*.nii.gz; do fslinfo ${x}; done
data_type      INT16
dim1           512
dim2           512
dim3           75
dim4           1
datatype       4
pixdim1        0.585938
pixdim2        0.585938
pixdim3        3.000000
pixdim4        0.000000
cal_max        0.0000
cal_min        0.0000
file_type      NIFTI-1+
filename       tmp/DICOM_FACEHBI_Florbetaben_20min_20141211120511_5.nii.gz
data_type      FLOAT32
dim1           400
dim2           400
dim3           109
dim4           1
datatype       16
pixdim1        1.018210
pixdim2        1.018210
pixdim3        2.027008
pixdim4        0.000000
cal_max        0.0000
cal_min        0.0000
file_type      NIFTI-1+
filename       tmp/DICOM_FACEHBI_Florbetaben_4x5min_20141211120511_4.nii.gz
data_type      FLOAT32
dim1           400
dim2           400
dim3           109
dim4           4
datatype       16
pixdim1        1.018210
pixdim2        1.018210
pixdim3        2.027008
pixdim4        1.000000
cal_max        0.0000
cal_min        0.0000
file_type      NIFTI-1+

y me hago un scriptcillo para convertir los DCM, escoger el adecuado usando fslinfo y hacer un fslsplit en el directorio final,

update_fbb.pl

#!/usr/bin/perl
 
use strict;
use warnings;
use NEURO qw(load_study);
use Data::Dump qw(dump);
use File::Find::Rule;
 
my $study = "facehbi";
my %std = load_study($study);
my $src_dir = "/nas/clinic/facehbi";
my $output_dir = $std{'PET-FBB'};
my @other_exts = ("nii.gz","json");
 
opendir(my $dh, $src_dir) || die "Can't opendir $src_dir: $!";
my @adqs = grep {/^[A-Za-z]/} readdir($dh);
closedir $dh;
 
foreach my $adq (sort @adqs) {
	(my $subject = $adq) =~ s/.*-F(.*)B$/0$1/;
	my $order = 'dcm2niix -z y -o '.$std{'DATA'}.'/tmp/ '.$src_dir.'/'.$adq.'/DICOM';
	print "$order\n";
	system($order);
	my @conv_files = find(file => 'name' => "*.nii.gz", in => $std{'DATA'}.'/tmp/');
	foreach my $nii_file (@conv_files){
		$order = 'fslinfo '.$nii_file;
		my %xinfo;
		foreach (qx/$order/){
			my ( $key, $value ) = /(\S+)\s+(\S+)\s*.*/;
			$xinfo{$key} =$value;
		}
		if($xinfo{"dim4"}>1){
			print "Choosing and moving files\n";
			$order = 'fslsplit '.$nii_file.' '.$output_dir.'/smc'.$subject.'s -t';
			print "$order\n";
			system($order);
		}
	}
	print "Cleaning house\n";
	$order = "rm $std{'DATA'}/tmp/*";
	system($order);
}

Lo lanzo desde el directorio del proyecto,

[osotolongo@detritus facehbi]$ ./update_fbb.pl

y ya esta, los fbb me quedan ordenados correctamente.

de DICOM a NiFTI

Necesitamos convertir los DICOM de FBB a formato NiFTI-1 para trabajar con FSL. El servidor DICOM corta el numero de slices por directorio a 500 por lo que inicialmente hubo muchisimos problemas de conversion y procesamiento.

Luego hay que buscar por todas las subcarpetas del DICOM las imagenes 4x5min que estan desordenadas. Para convertir uno de los sujetos ha de hacerse algo asi,

$ for x in `find /nas/raw_images/facehbi/fbb/FACEHBI-F001B/DICOM/ -type f`; do if [[ `dckey -k "SeriesDescription" $x 2>&1 | grep  "4x5min"` ]]; then cp $x /nas/facehbi/tmp_2nifti/; fi; done; y=$(ls /nas/facehbi/tmp_2nifti/ | head -n 1); dcm2nii -o /nas/facehbi/tmp/ /nas/facehbi/tmp_2nifti/$y;

que da una salida muy ruidosa, pero funciona. Para hacerlos todos de una tacada habria que iterar esto por todos los sujetos.

for s in `ls -d /nas/clinic/* | grep FACEHBI | grep "B$"`; do sbj=$(echo $s |sed 's/.*-F\(.*\)B$/\1/');  for x in `find ${s}/DICOM/ -type f`; do if [[ `dckey -k "SeriesDescription" $x 2>&1 | grep  "4x5min"` ]]; then cp $x /nas/facehbi/tmp_2nifti/; fi; done; y=$(ls /nas/facehbi/tmp_2nifti/ | head -n 1); dcm2nii -o /nas/facehbi/tmp/ /nas/facehbi/tmp_2nifti/$y; conv=$(ls /nas/facehbi/tmp/ | head -n 1); fslsplit /nas/facehbi/tmp/${conv} /nas/facehbi/fbb_first/smc0${sbj}s -t; rm -rf /nas/facehbi/tmp/*; rm -rf /nas/facehbi/tmp_2nifti/*; done

si queremos aprovechar un archivo yet.txt (ver aqui)

$ for sbj in `awk -F";" '{print $1}' yet.txt | sed 's/0//;'`; do s="/nas/clinic/FACEHBI-F${sbj}B";  for x in `find ${s}/DICOM/ -type f`; do if [[ `dckey -k "SeriesDescription" $x 2>&1 | grep  "4x5min"` ]]; then cp $x /nas/facehbi/tmp_2nifti/; fi; done; y=$(ls /nas/facehbi/tmp_2nifti/ | head -n 1); dcm2nii -o /nas/facehbi/tmp/ /nas/facehbi/tmp_2nifti/$y; conv=$(ls /nas/facehbi/tmp/ | head -n 1); fslsplit /nas/facehbi/tmp/${conv} /nas/facehbi/fbb/smc0${sbj}s -t; rm -rf /nas/facehbi/tmp/*; rm -rf /nas/facehbi/tmp_2nifti/*; done

Correccion de movimiento

Ahora tenemos 4 archivos representando la integracion de 5 min y hay que corregistrarlos al espacio de usuario. Lo primero es traer el archivo de freesurfer y luego corregistrar cada uo de los fbb al user space. despues se ha de unirlos temporalmente y hacer un mcflirt.

lo primero seria traerse la mri del directorio de freesurfer

get_fs_subj

y luego corregistrar cada imagen al espacio del sujeto. Hay 4 variantes para esto.

1.- Intentando registrar cada imagen independientemente.

fbb_reg

2.- Usando la informacion de un registro para el resto (-useg)

fbb_regc

3.- Usando la informacion solo del cerebro extraido para hacer el corregistro (-useb)

fbb_regb

4.- el mas complicado, usando una mascara. Este metodo se probo con el corregistro de PiBs y usa un umbral de intensidad (-usem)

fbb_regm

fbbtemp_regm.sh

#!/bin/sh
 
study=$1
shift
 
id=$1
shift
 
tdir=$1
shift
 
wdir=$1
shift
 
#sok=$1
#shift
 
treshold=$1
shift
 
debug=1
 
#Now get the uncorrected PETs and register to user space MRI
bsc=`printf "${id}s%04d" $sok`
${FSLDIR}/bin/fslreorient2std ${tdir}/${bsc} ${tdir}/${bsc}_tmp
if [ $treshold = 0 ] ; then
        ${FSLDIR}/bin/fslmaths ${tdir}/${bsc}_tmp -thr ${treshold} -bin ${tdir}/${bsc}_tmp_fbb_mask
else
        ${FSLDIR}/bin/fslmaths ${tdir}/${bsc}_tmp -thrP ${treshold} -bin ${tdir}/${bsc}_tmp_fbb_mask
fi
${FSLDIR}/bin/flirt -ref ${wdir}/${id}_struc -in ${tdir}/${bsc}_tmp_fbb_mask -omat ${tdir}/${bsc}_tmp_fbb -dof 9
${FSLDIR}/bin/flirt -ref ${wdir}/${id}_struc -in ${tdir}/${bsc} -applyxfm -init ${tdir}/${bsc}_tmp_fbb -out ${tdir}/${bsc}_reg -omat ${tdir}/${bsc}_pet2struc.mat
 
for i in {0..3}; do 
        if [ "$i" != "$sok" ]; then
                tf=`printf "${id}s%04d" $i`
                ${FSLDIR}/bin/fslreorient2std ${tdir}/${tf} ${tdir}/${id}_tmp
                if [ $treshold = 0 ] ; then
                        ${FSLDIR}/bin/fslmaths ${tdir}/${id}_tmp -thr ${treshold} -bin ${tdir}/${tf}_tmp_fbb_mask
                else
                        ${FSLDIR}/bin/fslmaths ${tdir}/${id}_tmp -thrP ${treshold} -bin ${tdir}/${tf}_tmp_fbb_mask
                fi
                ${FSLDIR}/bin/flirt -ref ${wdir}/${id}_struc -in ${tdir}/${tf}_tmp_fbb_mask -omat ${tdir}/${tf}_tmp_fbb -init ${tdir}/${bsc}_pet2struc.mat -dof 9
                ${FSLDIR}/bin/flirt -ref ${wdir}/${id}_struc -in ${tdir}/${tf} -applyxfm -init ${tdir}/${tf}_tmp_fbb -out ${tdir}/${tf}_reg
        fi
done
a=`for i in {0..3}; do printf " ${tdir}/${id}s%04d_reg " $i; done`
${FSLDIR}/bin/fslmerge -t ${wdir}/${id}_tmp_mvc $a
${FSLDIR}/bin/mcflirt -in ${wdir}/${id}_tmp_mvc -out ${wdir}/${id}_tmp_corr
${PIPEDIR}/bin/4dmean.pl ${wdir}/${id}_tmp_corr
${FSLDIR}/bin/flirt -ref ${wdir}/${id}_struc -in ${wdir}/${id}_mean -omat ${wdir}/${id}_fbb2struc.mat -out ${wdir}/${id}_fbb
 
if [ $debug = 0 ] ; then
    rm ${tdir}/${id}_tmp*
    rm ${wdir}/${id}_tmp*
fi

Esto lo he intentado agrupar en el script fbb_correct.pl,

fbb_correct.pl (chunk)

my $study;
my $cfile;
my $wbrain = 0;
my $wguide = 0;
my $wmask = 0;
my $sok = 0;

@ARGV = ("-h") unless @ARGV;
while (@ARGV and $ARGV[0] =~ /^-/) {
    $_ = shift;
    last if /^--$/;
    if (/^-e/) { $study = shift; chomp($study);}
    if (/^-cut/) { $cfile = shift; chomp($cfile);}
    if (/^-useg/) { $sok = shift; $wguide = 1;}
    if (/^-useb/) { $sok = shift; $wbrain = 1;}
    if (/^-usem/) { $sok = shift; $wmask = 1;}
    if (/^-h/) { print_help $ENV{'PIPEDIR'}.'/doc/fbb_reg.hlp'; exit;}
}

y despues,

foreach my $subject (@ok_pets){
        $pm->start and next;
        my $order;
        if($wmask){
                $order = "fbbtemp_regm.sh ".$study." ".$pets{$subject}.$subject." ".$petnc_dir." ".$w_dir." ".$sok;
        }elsif($wguide){
                $order = "fbbtemp_regc.sh ".$study." ".$pets{$subject}.$subject." ".$petnc_dir." ".$w_dir." ".$sok;
        }elsif($wbrain){
                $order = "fbbtemp_regb.sh ".$study." ".$pets{$subject}.$subject." ".$petnc_dir." ".$w_dir." ".$sok;
        }else{
                $order = "fbbtemp_reg.sh ".$study." ".$pets{$subject}.$subject." ".$petnc_dir." ".$w_dir;
        }
        print "$order\n";
        system($order);
        $pm->finish;
}
$pm->wait_all_children;

Resumiendo

si todo va bien basta con hacer:

$ fbb_correct.pl -e facehbi 
$ parallel_fbb_rois_metrics.pl facehbi

Postprocessing (carrot)

$ cd /home/osotolongo/Documents/ACE/facehbi
$ R CMD BATCH selected_mri.r
$ sed 's/"//g' facehbi_mri_selected.csv | awk -F"," '{if($1!="Subject") printf("%04d;%s;%s;%s;%s;%s;%s\n",$1,$2,$3,$4,$5,$6,$7); else printf("%s;%s;%s;%s;%s;%s;%s\n",$1,$2,$3,$4,$5,$6,$7)}' > facehbi_mri_selected_reformatted.csv
$ join -t";" -j 1 facehbi_fbb_fs_suvr_predef.csv facehbi_mri_selected_reformatted.csv > facehbi_fbb_mri.csv
$ join -t";" -j 1 facehbi_fbb_mri.csv facehbi_dti.csv > facehbi_fbb_mri_dti.csv
$ awk 'NR<2{print $0;next}{print $0| "sort -k1"}' demographics.csv | sed 's/, /;/g' > facehbi_demographics.csv
$ join -t";" -j 1 facehbi_demographics.csv facehbi_fbb_mri_dti.csv > facehbi_data.csv
$ sed 's/;/ /g' facehbi_data.csv > facehbi_data.dat

Note this: extract_data | awk 'NR<3{print $0;next}{print $0| “sort -r”}'

$ head -n 1 facehbi_data.csv | sed 's/;/\n/g' | cat -n
     1	Subject
     2	Gender
     3	Education
     4	Age
     5	FBB
     6	HV
     7	aHV
     8	CMT
     9	aCMT
    10	WMH
    11	nWMH
    12	Unclassified_FA_Mean
    13	Unclassified_FA_STD
    14	Unclassified_MD_Mean
    15	Unclassified_MD_STD
    16	Middle cerebellar peduncle_FA_Mean
    17	Middle cerebellar peduncle_FA_STD
    18	Middle cerebellar peduncle_MD_Mean
    19	Middle cerebellar peduncle_MD_STD
    20	Medial lemniscus L_FA_Mean
    21	Medial lemniscus L_FA_STD
    22	Medial lemniscus L_MD_Mean
    23	Medial lemniscus L_MD_STD
    24	Inferior cerebellar peduncle R  _FA_Mean
    25	Inferior cerebellar peduncle R  _FA_STD
    26	Inferior cerebellar peduncle R  _MD_Mean
    27	Inferior cerebellar peduncle R  _MD_STD
    28	Inferior cerebellar peduncle L_FA_Mean
    29	Inferior cerebellar peduncle L_FA_STD
    30	Inferior cerebellar peduncle L_MD_Mean
    31	Inferior cerebellar peduncle L_MD_STD
    32	Superior cerebellar peduncle R_FA_Mean
    33	Superior cerebellar peduncle R_FA_STD
    34	Superior cerebellar peduncle R_MD_Mean
    35	Superior cerebellar peduncle R_MD_STD
    36	Superior cerebellar peduncle L_FA_Mean
    37	Superior cerebellar peduncle L_FA_STD
    38	Superior cerebellar peduncle L_MD_Mean
    39	Superior cerebellar peduncle L_MD_STD
    40	Cerebral peduncle R_FA_Mean
    41	Cerebral peduncle R_FA_STD
    42	Cerebral peduncle R_MD_Mean
    43	Cerebral peduncle R_MD_STD
    44	Cerebral peduncle L_FA_Mean
    45	Cerebral peduncle L_FA_STD
    46	Cerebral peduncle L_MD_Mean
    47	Cerebral peduncle L_MD_STD
    48	Anterior limb of internal capsule R_FA_Mean
    49	Anterior limb of internal capsule R_FA_STD
    50	Anterior limb of internal capsule R_MD_Mean
    51	Anterior limb of internal capsule R_MD_STD
    52	Anterior limb of internal capsule L_FA_Mean
    53	Anterior limb of internal capsule L_FA_STD
    54	Anterior limb of internal capsule L_MD_Mean
    55	Anterior limb of internal capsule L_MD_STD
    56	Posterior limb of internal capsule R_FA_Mean
    57	Posterior limb of internal capsule R_FA_STD
    58	Posterior limb of internal capsule R_MD_Mean
    59	Posterior limb of internal capsule R_MD_STD
    60	Pontine crossing tract (a part of MCP)_FA_Mean
    61	Pontine crossing tract (a part of MCP)_FA_STD
    62	Pontine crossing tract (a part of MCP)_MD_Mean
    63	Pontine crossing tract (a part of MCP)_MD_STD
    64	Posterior limb of internal capsule L_FA_Mean
    65	Posterior limb of internal capsule L_FA_STD
    66	Posterior limb of internal capsule L_MD_Mean
    67	Posterior limb of internal capsule L_MD_STD
    68	Retrolenticular part of internal capsule R_FA_Mean
    69	Retrolenticular part of internal capsule R_FA_STD
    70	Retrolenticular part of internal capsule R_MD_Mean
    71	Retrolenticular part of internal capsule R_MD_STD
    72	Retrolenticular part of internal capsule L_FA_Mean
    73	Retrolenticular part of internal capsule L_FA_STD
    74	Retrolenticular part of internal capsule L_MD_Mean
    75	Retrolenticular part of internal capsule L_MD_STD
    76	Anterior corona radiata R_FA_Mean
    77	Anterior corona radiata R_FA_STD
    78	Anterior corona radiata R_MD_Mean
    79	Anterior corona radiata R_MD_STD
    80	Anterior corona radiata L_FA_Mean
    81	Anterior corona radiata L_FA_STD
    82	Anterior corona radiata L_MD_Mean
    83	Anterior corona radiata L_MD_STD
    84	Superior corona radiata R_FA_Mean
    85	Superior corona radiata R_FA_STD
    86	Superior corona radiata R_MD_Mean
    87	Superior corona radiata R_MD_STD
    88	Superior corona radiata L_FA_Mean
    89	Superior corona radiata L_FA_STD
    90	Superior corona radiata L_MD_Mean
    91	Superior corona radiata L_MD_STD
    92	Posterior corona radiata R_FA_Mean
    93	Posterior corona radiata R_FA_STD
    94	Posterior corona radiata R_MD_Mean
    95	Posterior corona radiata R_MD_STD
    96	Posterior corona radiata L_FA_Mean
    97	Posterior corona radiata L_FA_STD
    98	Posterior corona radiata L_MD_Mean
    99	Posterior corona radiata L_MD_STD
   100	Posterior thalamic radiation (include optic radiation) R_FA_Mean
   101	Posterior thalamic radiation (include optic radiation) R_FA_STD
   102	Posterior thalamic radiation (include optic radiation) R_MD_Mean
   103	Posterior thalamic radiation (include optic radiation) R_MD_STD
   104	Genu of corpus callosum_FA_Mean
   105	Genu of corpus callosum_FA_STD
   106	Genu of corpus callosum_MD_Mean
   107	Genu of corpus callosum_MD_STD
   108	Posterior thalamic radiation (include optic radiation) L_FA_Mean
   109	Posterior thalamic radiation (include optic radiation) L_FA_STD
   110	Posterior thalamic radiation (include optic radiation) L_MD_Mean
   111	Posterior thalamic radiation (include optic radiation) L_MD_STD
   112	Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) R_FA_Mean
   113	Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) R_FA_STD
   114	Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) R_MD_Mean
   115	Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) R_MD_STD
   116	Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) L_FA_Mean
   117	Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) L_FA_STD
   118	Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) L_MD_Mean
   119	Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) L_MD_STD
   120	External capsule R_FA_Mean
   121	External capsule R_FA_STD
   122	External capsule R_MD_Mean
   123	External capsule R_MD_STD
   124	External capsule L_FA_Mean
   125	External capsule L_FA_STD
   126	External capsule L_MD_Mean
   127	External capsule L_MD_STD
   128	Cingulum (cingulate gyrus) R_FA_Mean
   129	Cingulum (cingulate gyrus) R_FA_STD
   130	Cingulum (cingulate gyrus) R_MD_Mean
   131	Cingulum (cingulate gyrus) R_MD_STD
   132	Cingulum (cingulate gyrus) L_FA_Mean
   133	Cingulum (cingulate gyrus) L_FA_STD
   134	Cingulum (cingulate gyrus) L_MD_Mean
   135	Cingulum (cingulate gyrus) L_MD_STD
   136	Cingulum (hippocampus) R_FA_Mean
   137	Cingulum (hippocampus) R_FA_STD
   138	Cingulum (hippocampus) R_MD_Mean
   139	Cingulum (hippocampus) R_MD_STD
   140	Cingulum (hippocampus) L_FA_Mean
   141	Cingulum (hippocampus) L_FA_STD
   142	Cingulum (hippocampus) L_MD_Mean
   143	Cingulum (hippocampus) L_MD_STD
   144	Fornix (cres) / Stria terminalis (can not be resolved with current resolution) R_FA_Mean
   145	Fornix (cres) / Stria terminalis (can not be resolved with current resolution) R_FA_STD
   146	Fornix (cres) / Stria terminalis (can not be resolved with current resolution) R_MD_Mean
   147	Fornix (cres) / Stria terminalis (can not be resolved with current resolution) R_MD_STD
   148	Body of corpus callosum_FA_Mean
   149	Body of corpus callosum_FA_STD
   150	Body of corpus callosum_MD_Mean
   151	Body of corpus callosum_MD_STD
   152	Fornix (cres) / Stria terminalis (can not be resolved with current resolution) L_FA_Mean
   153	Fornix (cres) / Stria terminalis (can not be resolved with current resolution) L_FA_STD
   154	Fornix (cres) / Stria terminalis (can not be resolved with current resolution) L_MD_Mean
   155	Fornix (cres) / Stria terminalis (can not be resolved with current resolution) L_MD_STD
   156	Superior longitudinal fasciculus R_FA_Mean
   157	Superior longitudinal fasciculus R_FA_STD
   158	Superior longitudinal fasciculus R_MD_Mean
   159	Superior longitudinal fasciculus R_MD_STD
   160	Superior longitudinal fasciculus L_FA_Mean
   161	Superior longitudinal fasciculus L_FA_STD
   162	Superior longitudinal fasciculus L_MD_Mean
   163	Superior longitudinal fasciculus L_MD_STD
   164	Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) R_FA_Mean
   165	Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) R_FA_STD
   166	Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) R_MD_Mean
   167	Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) R_MD_STD
   168	Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) L_FA_Mean
   169	Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) L_FA_STD
   170	Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) L_MD_Mean
   171	Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) L_MD_STD
   172	Uncinate fasciculus R_FA_Mean
   173	Uncinate fasciculus R_FA_STD
   174	Uncinate fasciculus R_MD_Mean
   175	Uncinate fasciculus R_MD_STD
   176	Uncinate fasciculus L_FA_Mean
   177	Uncinate fasciculus L_FA_STD
   178	Uncinate fasciculus L_MD_Mean
   179	Uncinate fasciculus L_MD_STD
   180	Tapetum R_FA_Mean
   181	Tapetum R_FA_STD
   182	Tapetum R_MD_Mean
   183	Tapetum R_MD_STD
   184	Tapetum L_FA_Mean
   185	Tapetum L_FA_STD
   186	Tapetum L_MD_Mean
   187	Tapetum L_MD_STD
   188	Splenium of corpus callosum_FA_Mean
   189	Splenium of corpus callosum_FA_STD
   190	Splenium of corpus callosum_MD_Mean
   191	Splenium of corpus callosum_MD_STD
   192	Fornix (column and body of fornix)_FA_Mean
   193	Fornix (column and body of fornix)_FA_STD
   194	Fornix (column and body of fornix)_MD_Mean
   195	Fornix (column and body of fornix)_MD_STD
   196	Corticospinal tract R_FA_Mean
   197	Corticospinal tract R_FA_STD
   198	Corticospinal tract R_MD_Mean
   199	Corticospinal tract R_MD_STD
   200	Corticospinal tract L_FA_Mean
   201	Corticospinal tract L_FA_STD
   202	Corticospinal tract L_MD_Mean
   203	Corticospinal tract L_MD_STD
   204	Medial lemniscus R_FA_Mean
   205	Medial lemniscus R_FA_STD
   206	Medial lemniscus R_MD_Mean
   207	Medial lemniscus R_MD_STD
   208	Anterior thalamic radiation L_FA_Mean
   209	Anterior thalamic radiation L_FA_STD
   210	Anterior thalamic radiation L_MD_Mean
   211	Anterior thalamic radiation L_MD_STD
   212	Forceps minor_FA_Mean
   213	Forceps minor_FA_STD
   214	Forceps minor_MD_Mean
   215	Forceps minor_MD_STD
   216	Inferior fronto-occipital fasciculus L_FA_Mean
   217	Inferior fronto-occipital fasciculus L_FA_STD
   218	Inferior fronto-occipital fasciculus L_MD_Mean
   219	Inferior fronto-occipital fasciculus L_MD_STD
   220	Inferior fronto-occipital fasciculus R_FA_Mean
   221	Inferior fronto-occipital fasciculus R_FA_STD
   222	Inferior fronto-occipital fasciculus R_MD_Mean
   223	Inferior fronto-occipital fasciculus R_MD_STD
   224	Inferior longitudinal fasciculus L_FA_Mean
   225	Inferior longitudinal fasciculus L_FA_STD
   226	Inferior longitudinal fasciculus L_MD_Mean
   227	Inferior longitudinal fasciculus L_MD_STD
   228	Inferior longitudinal fasciculus R_FA_Mean
   229	Inferior longitudinal fasciculus R_FA_STD
   230	Inferior longitudinal fasciculus R_MD_Mean
   231	Inferior longitudinal fasciculus R_MD_STD
   232	Superior longitudinal fasciculus L_FA_Mean
   233	Superior longitudinal fasciculus L_FA_STD
   234	Superior longitudinal fasciculus L_MD_Mean
   235	Superior longitudinal fasciculus L_MD_STD
   236	Superior longitudinal fasciculus R_FA_Mean
   237	Superior longitudinal fasciculus R_FA_STD
   238	Superior longitudinal fasciculus R_MD_Mean
   239	Superior longitudinal fasciculus R_MD_STD
   240	Uncinate fasciculus L_FA_Mean
   241	Uncinate fasciculus L_FA_STD
   242	Uncinate fasciculus L_MD_Mean
   243	Uncinate fasciculus L_MD_STD
   244	Uncinate fasciculus R_FA_Mean
   245	Uncinate fasciculus R_FA_STD
   246	Uncinate fasciculus R_MD_Mean
   247	Uncinate fasciculus R_MD_STD
   248	Superior longitudinal fasciculus (temporal part) L_FA_Mean
   249	Superior longitudinal fasciculus (temporal part) L_FA_STD
   250	Superior longitudinal fasciculus (temporal part) L_MD_Mean
   251	Superior longitudinal fasciculus (temporal part) L_MD_STD
   252	Anterior thalamic radiation R_FA_Mean
   253	Anterior thalamic radiation R_FA_STD
   254	Anterior thalamic radiation R_MD_Mean
   255	Anterior thalamic radiation R_MD_STD
   256	Superior longitudinal fasciculus (temporal part) R_FA_Mean
   257	Superior longitudinal fasciculus (temporal part) R_FA_STD
   258	Superior longitudinal fasciculus (temporal part) R_MD_Mean
   259	Superior longitudinal fasciculus (temporal part) R_MD_STD
   260	Corticospinal tract L_FA_Mean
   261	Corticospinal tract L_FA_STD
   262	Corticospinal tract L_MD_Mean
   263	Corticospinal tract L_MD_STD
   264	Corticospinal tract R_FA_Mean
   265	Corticospinal tract R_FA_STD
   266	Corticospinal tract R_MD_Mean
   267	Corticospinal tract R_MD_STD
   268	Cingulum (cingulate gyrus) L_FA_Mean
   269	Cingulum (cingulate gyrus) L_FA_STD
   270	Cingulum (cingulate gyrus) L_MD_Mean
   271	Cingulum (cingulate gyrus) L_MD_STD
   272	Cingulum (cingulate gyrus) R_FA_Mean
   273	Cingulum (cingulate gyrus) R_FA_STD
   274	Cingulum (cingulate gyrus) R_MD_Mean
   275	Cingulum (cingulate gyrus) R_MD_STD
   276	Cingulum (hippocampus) L_FA_Mean
   277	Cingulum (hippocampus) L_FA_STD
   278	Cingulum (hippocampus) L_MD_Mean
   279	Cingulum (hippocampus) L_MD_STD
   280	Cingulum (hippocampus) R_FA_Mean
   281	Cingulum (hippocampus) R_FA_STD
   282	Cingulum (hippocampus) R_MD_Mean
   283	Cingulum (hippocampus) R_MD_STD
   284	Forceps major_FA_Mean
   285	Forceps major_FA_STD
   286	Forceps major_MD_Mean
   287	Forceps major_MD_STD

Detritus Wiki

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Problemas con el procesamiento de FBB y como no morir en el intento

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