目的
- 画像の切り取り・マスキング ~Masking~
FSLを用いる場合
コマンド
FSLで画像の切り取り・マスキングをするには、fslmaths
と-mas
オプションを使用する。
fslmaths
のヘルプは、次の通り。
クリックして展開
Usage: fslmaths [-dt <datatype>] <first_input> [operations and inputs] <output> [-odt <datatype>] Datatype information: -dt sets the datatype used internally for calculations (default float for all except double images) -odt sets the output datatype ( default is float ) Possible datatypes are: char short int float double input "input" will set the datatype to that of the original image Binary operations: (some inputs can be either an image or a number) -add : add following input to current image -sub : subtract following input from current image -mul : multiply current image by following input -div : divide current image by following input -rem : modulus remainder - divide current image by following input and take remainder -mas : use (following image>0) to mask current image -thr : use following number to threshold current image (zero anything below the number) -thrp : use following percentage (0-100) of ROBUST RANGE to threshold current image (zero anything below the number) -thrP : use following percentage (0-100) of ROBUST RANGE of non-zero voxels and threshold below -uthr : use following number to upper-threshold current image (zero anything above the number) -uthrp : use following percentage (0-100) of ROBUST RANGE to upper-threshold current image (zero anything above the number) -uthrP : use following percentage (0-100) of ROBUST RANGE of non-zero voxels and threshold above -max : take maximum of following input and current image -min : take minimum of following input and current image -seed : seed random number generator with following number -restart : replace the current image with input for future processing operations -save : save the current working image to the input filename Basic unary operations: -exp : exponential -log : natural logarithm -sin : sine function -cos : cosine function -tan : tangent function -asin : arc sine function -acos : arc cosine function -atan : arc tangent function -sqr : square -sqrt : square root -recip : reciprocal (1/current image) -abs : absolute value -bin : use (current image>0) to binarise -binv : binarise and invert (binarisation and logical inversion) -fillh : fill holes in a binary mask (holes are internal - i.e. do not touch the edge of the FOV) -fillh26 : fill holes using 26 connectivity -index : replace each nonzero voxel with a unique (subject to wrapping) index number -grid <value> <spacing> : add a 3D grid of intensity <value> with grid spacing <spacing> -edge : edge strength -tfce <H> <E> <connectivity>: enhance with TFCE, e.g. -tfce 2 0.5 6 (maybe change 6 to 26 for skeletons) -tfceS <H> <E> <connectivity> <X> <Y> <Z> <tfce_thresh>: show support area for voxel (X,Y,Z) -nan : replace NaNs (improper numbers) with 0 -nanm : make NaN (improper number) mask with 1 for NaN voxels, 0 otherwise -rand : add uniform noise (range 0:1) -randn : add Gaussian noise (mean=0 sigma=1) -inm <mean> : (-i i ip.c) intensity normalisation (per 3D volume mean) -ing <mean> : (-I i ip.c) intensity normalisation, global 4D mean) -range : set the output calmin/max to full data range Matrix operations: -tensor_decomp : convert a 4D (6-timepoint )tensor image into L1,2,3,FA,MD,MO,V1,2,3 (remaining image in pipeline is FA) Kernel operations (set BEFORE filtering operation if desired): -kernel 3D : 3x3x3 box centered on target voxel (set as default kernel) -kernel 2D : 3x3x1 box centered on target voxel -kernel box <size> : all voxels in a cube of width <size> mm centered on target voxel -kernel boxv <size> : all voxels in a cube of width <size> voxels centered on target voxel, CAUTION: size should be an odd number -kernel boxv3 <X> <Y> <Z>: all voxels in a cuboid of dimensions X x Y x Z centered on target voxel, CAUTION: size should be an odd number -kernel gauss <sigma> : gaussian kernel (sigma in mm, not voxels) -kernel sphere <size> : all voxels in a sphere of radius <size> mm centered on target voxel -kernel file <filename> : use external file as kernel Spatial Filtering operations: N.B. all options apart from -s use the default kernel or that _previously_ specified by -kernel -dilM : Mean Dilation of non-zero voxels -dilD : Modal Dilation of non-zero voxels -dilF : Maximum filtering of all voxels -dilall : Apply -dilM repeatedly until the entire FOV is covered -ero : Erode by zeroing non-zero voxels when zero voxels found in kernel -eroF : Minimum filtering of all voxels -fmedian : Median Filtering -fmean : Mean filtering, kernel weighted (conventionally used with gauss kernel) -fmeanu : Mean filtering, kernel weighted, un-normalised (gives edge effects) -s <sigma> : create a gauss kernel of sigma mm and perform mean filtering -subsamp2 : downsamples image by a factor of 2 (keeping new voxels centred on old) -subsamp2offc : downsamples image by a factor of 2 (non-centred) Dimensionality reduction operations: (the "T" can be replaced by X, Y or Z to collapse across a different dimension) -Tmean : mean across time -Tstd : standard deviation across time -Tmax : max across time -Tmaxn : time index of max across time -Tmin : min across time -Tmedian : median across time -Tperc <percentage> : nth percentile (0-100) of FULL RANGE across time -Tar1 : temporal AR(1) coefficient (use -odt float and probably demean first) Basic statistical operations: -pval : Nonparametric uncorrected P-value, assuming timepoints are the permutations; first timepoint is actual (unpermuted) stats image -pval0 : Same as -pval, but treat zeros as missing data -cpval : Same as -pval, but gives FWE corrected P-values -ztop : Convert Z-stat to (uncorrected) P -ptoz : Convert (uncorrected) P to Z -rank : Convert data to ranks (over T dim) -ranknorm: Transform to Normal dist via ranks Multi-argument operations: -roi <xmin> <xsize> <ymin> <ysize> <zmin> <zsize> <tmin> <tsize> : zero outside roi (using voxel coordinates). Inputting -1 for a size will set it to the full image extent for that dimension. -bptf <hp_sigma> <lp_sigma> : (-t in ip.c) Bandpass temporal filtering; nonlinear highpass and Gaussian linear lowpass (with sigmas in volumes, not seconds); set either sigma<0 to skip that filter -roc <AROC-thresh> <outfile> [4Dnoiseonly] <truth> : take (normally binary) truth and test current image in ROC analysis against truth. <AROC-thresh> is usually 0.05 and is limit of Area-under-ROC measure FP axis. <outfile> is a text file of the ROC curve (triplets of values: FP TP threshold). If the truth image contains negative voxels these get excluded from all calculations. If <AROC-thresh> is positive then the [4Dnoiseonly] option needs to be set, and the FP rate is determined from this noise-only data, and is set to be the fraction of timepoints where any FP (anywhere) is seen, as found in the noise-only 4d-dataset. This is then controlling the FWE rate. If <AROC-thresh> is negative the FP rate is calculated from the zero-value parts of the <truth> image, this time averaging voxelwise FP rate over all timepoints. In both cases the TP rate is the average fraction of truth=positive voxels correctly found. Combining 4D and 3D images: If you apply a Binary operation (one that takes the current image and a new image together), when one is 3D and the other is 4D, the 3D image is cloned temporally to match the temporal dimensions of the 4D image. e.g. fslmaths inputVolume -add inputVolume2 output_volume fslmaths inputVolume -add 2.5 output_volume fslmaths inputVolume -add 2.5 -mul inputVolume2 output_volume fslmaths 4D_inputVolume -Tmean -mul -1 -add 4D_inputVolume demeaned_4D_inputVolume
基本的な使い方は、以下の通り。
fslmaths <入力画像> -mas <マスク画像> <出力画像>
使用例
頭蓋除去されていないFA画像とマスク画像(緑)を、重ね合わせて表示した画像を以下に示す。
頭蓋除去されていないFA画像(FA.nii.gz)をマスク画像(mask.nii.gz)でマスキングするには、以下のコマンドを実行する。
fslmaths FA.nii.gz -mas mask.nii.gz FA_masked.nii.gz
マスキングして、頭蓋除去したFA画像は以下。
MRtrixを用いる場合
コマンド
MRtrixで画像の切り取り・マスキングをするには、mrcalc
と-mult
オプションを使用する。
mrcalc
のヘルプは、次の通り。
クリックして展開
SYNOPSIS Apply generic voxel-wise mathematical operations to images USAGE mrcalc [ options ] operand [ operand ... ] operand an input image, intensity value, or the special keywords 'rand' (random number between 0 and 1) or 'randn' (random number from unit std.dev. normal distribution) or the mathematical constants 'e' and 'pi'. DESCRIPTION This command will only compute per-voxel operations. Use 'mrmath' to compute summary statistics across images or along image axes. This command uses a stack-based syntax, with operators (specified using options) operating on the top-most entries (i.e. images or values) in the stack. Operands (values or images) are pushed onto the stack in the order they appear (as arguments) on the command-line, and operators (specified as options) operate on and consume the top-most entries in the stack, and push their output as a new entry on the stack. As an additional feature, this command will allow images with different dimensions to be processed, provided they satisfy the following conditions: for each axis, the dimensions match if they are the same size, or one of them has size one. In the latter case, the entire image will be replicated along that axis. This allows for example a 4D image of size [ X Y Z N ] to be added to a 3D image of size [ X Y Z ], as if it consisted of N copies of the 3D image along the 4th axis (the missing dimension is assumed to have size 1). Another example would a single-voxel 4D image of size [ 1 1 1 N ], multiplied by a 3D image of size [ X Y Z ], which would allow the creation of a 4D image where each volume consists of the 3D image scaled by the corresponding value for that volume in the single-voxel image. EXAMPLE USAGES Double the value stored in every voxel: $ mrcalc a.mif 2 -mult r.mif This performs the operation: r = 2*a for every voxel a,r in images a.mif and r.mif respectively. A more complex example: $ mrcalc a.mif -neg b.mif -div -exp 9.3 -mult r.mif This performs the operation: r = 9.3*exp(-a/b) Another complex example: $ mrcalc a.mif b.mif -add c.mif d.mif -mult 4.2 -add -div r.mif This performs: r = (a+b)/(c*d+4.2). Rescale the densities in a SH l=0 image: $ mrcalc ODF_CSF.mif 4 pi -mult -sqrt -div ODF_CSF_scaled.mif This applies the spherical harmonic basis scaling factor: 1.0/sqrt(4*pi), such that a single-tissue voxel containing the same intensities as the response function of that tissue should contain the value 1.0. basic operations -abs (multiple uses permitted) |%1| : return absolute value (magnitude) of real or complex number -neg (multiple uses permitted) -%1 : negative value -add (multiple uses permitted) (%1 + %2) : add values -subtract (multiple uses permitted) (%1 - %2) : subtract nth operand from (n-1)th -multiply (multiple uses permitted) (%1 * %2) : multiply values -divide (multiple uses permitted) (%1 / %2) : divide (n-1)th operand by nth -min (multiple uses permitted) min (%1, %2) : smallest of last two operands -max (multiple uses permitted) max (%1, %2) : greatest of last two operands comparison operators -lt (multiple uses permitted) (%1 < %2) : less-than operator (true=1, false=0) -gt (multiple uses permitted) (%1 > %2) : greater-than operator (true=1, false=0) -le (multiple uses permitted) (%1 <= %2) : less-than-or-equal-to operator (true=1, false=0) -ge (multiple uses permitted) (%1 >= %2) : greater-than-or-equal-to operator (true=1, false=0) -eq (multiple uses permitted) (%1 == %2) : equal-to operator (true=1, false=0) -neq (multiple uses permitted) (%1 != %2) : not-equal-to operator (true=1, false=0) conditional operators -if (multiple uses permitted) (%1 ? %2 : %3) : if first operand is true (non-zero), return second operand, otherwise return third operand -replace (multiple uses permitted) (%1, %2 -> %3) : Wherever first operand is equal to the second operand, replace with third operand power functions -sqrt (multiple uses permitted) sqrt (%1) : square root -pow (multiple uses permitted) %1^%2 : raise (n-1)th operand to nth power nearest integer operations -round (multiple uses permitted) round (%1) : round to nearest integer -ceil (multiple uses permitted) ceil (%1) : round up to nearest integer -floor (multiple uses permitted) floor (%1) : round down to nearest integer logical operators -not (multiple uses permitted) !%1 : NOT operator: true (1) if operand is false (i.e. zero) -and (multiple uses permitted) (%1 && %2) : AND operator: true (1) if both operands are true (i.e. non-zero) -or (multiple uses permitted) (%1 || %2) : OR operator: true (1) if either operand is true (i.e. non-zero) -xor (multiple uses permitted) (%1 ^^ %2) : XOR operator: true (1) if only one of the operands is true (i.e. non-zero) classification functions -isnan (multiple uses permitted) isnan (%1) : true (1) if operand is not-a-number (NaN) -isinf (multiple uses permitted) isinf (%1) : true (1) if operand is infinite (Inf) -finite (multiple uses permitted) finite (%1) : true (1) if operand is finite (i.e. not NaN or Inf) complex numbers -complex (multiple uses permitted) (%1 + %2 i) : create complex number using the last two operands as real,imaginary components -polar (multiple uses permitted) (%1 /_ %2) : create complex number using the last two operands as magnitude,phase components (phase in radians) -real (multiple uses permitted) real (%1) : real part of complex number -imag (multiple uses permitted) imag (%1) : imaginary part of complex number -phase (multiple uses permitted) phase (%1) : phase of complex number (use -abs for magnitude) -conj (multiple uses permitted) conj (%1) : complex conjugate -proj (multiple uses permitted) proj (%1) : projection onto the Riemann sphere exponential functions -exp (multiple uses permitted) exp (%1) : exponential function -log (multiple uses permitted) log (%1) : natural logarithm -log10 (multiple uses permitted) log10 (%1) : common logarithm trigonometric functions -cos (multiple uses permitted) cos (%1) : cosine -sin (multiple uses permitted) sin (%1) : sine -tan (multiple uses permitted) tan (%1) : tangent -acos (multiple uses permitted) acos (%1) : inverse cosine -asin (multiple uses permitted) asin (%1) : inverse sine -atan (multiple uses permitted) atan (%1) : inverse tangent hyperbolic functions -cosh (multiple uses permitted) cosh (%1) : hyperbolic cosine -sinh (multiple uses permitted) sinh (%1) : hyperbolic sine -tanh (multiple uses permitted) tanh (%1) : hyperbolic tangent -acosh (multiple uses permitted) acosh (%1) : inverse hyperbolic cosine -asinh (multiple uses permitted) asinh (%1) : inverse hyperbolic sine -atanh (multiple uses permitted) atanh (%1) : inverse hyperbolic tangent Data type options -datatype spec specify output image data type. Valid choices are: float32, float32le, float32be, float64, float64le, float64be, int64, uint64, int64le, uint64le, int64be, uint64be, int32, uint32, int32le, uint32le, int32be, uint32be, int16, uint16, int16le, uint16le, int16be, uint16be, cfloat32, cfloat32le, cfloat32be, cfloat64, cfloat64le, cfloat64be, int8, uint8, bit. Standard options -info display information messages. -quiet do not display information messages or progress status; alternatively, this can be achieved by setting the MRTRIX_QUIET environment variable to a non-empty string. -debug display debugging messages. -force force overwrite of output files (caution: using the same file as input and output might cause unexpected behaviour). -nthreads number use this number of threads in multi-threaded applications (set to 0 to disable multi-threading). -config key value (multiple uses permitted) temporarily set the value of an MRtrix config file entry. -help display this information page and exit. -version display version information and exit.
基本的な使い方は、以下の通り。入力画像とバイナリーマスク画像(二値画像)を掛け算することで、マスキングをする。
mrcalc <入力画像> <バイナリーマスク画像> -mult <出力画像>
使用例
頭蓋除去されていないFA画像とマスク画像(緑)を、重ね合わせて表示した画像を以下に示す。
頭蓋除去されていないFA画像(FA.nii.gz)をマスク画像(mask.nii.gz)でマスキングするには、以下のコマンドを実行する。
mrcalc FA.nii.gz mask.nii.gz -mult FA_masked.nii.gz
マスキングして、頭蓋除去したFA画像は以下。