📦 mia-tools

M

• mia-2davgmasked(1)Evaluate average intensities of an image series.✨
• mia-2dbinarycombine(1)Combine two binary images.✨
• mia-2dcost(1)Evaluate the similarity between two 2D images.✨
• mia-2ddeform(1)Transform a 2D image by means of a vector field.✨
• mia-2ddistance(1)Distance between binary masks.✨
• mia-2deval-transformquantity(1)Evaluate derivative of a transformation✨
• mia-2dfluid(1)Fluid dynamic 2D registration✨
• mia-2dfluid-syn-registration(1)Non-linear registration of 2D images by using a diffeomorphic SyN registration✨
• mia-2dforce(1)Registering force between two 2D images.✨
• mia-2dfuzzysegment(1)A fuzzy c-means segmentation of a 2D image✨
• mia-2dgrayimage-combine-to-rgb(1)combine gray scale images to an rgb image.✨
• mia-2dgroundtruthreg(1)Registration of a series of 2D images✨
• mia-2dimagecombine-dice(1)Evaluate the dice index between two binary 2D images.✨
• mia-2dimagecombiner(1)Combine two 2D images.✨
• mia-2dimagecreator(1)Create a synthetic 2D image.✨
• mia-2dimagefilter(1)Run filters on a 2D image.✨
• mia-2dimagefilterstack(1)Run filters on a series of 2D images.✨
• mia-2dimagefullstats(1)Evaluate some stats over an image.✨
• mia-2dimageregistration(1)Run a 2d image registration.✨
• mia-2dimageselect(1)Select one image from a multi-record file.✨
• mia-2dimageseries-maximum-intensity-projection(1)Evaluate maximum per-pixel intensities of an image series.✨
• mia-2dimagestack-cmeans(1)Calculate the c-means classification for a series of images.✨
• mia-2dimagestats(1)Evaluate some statistics of a 2D image.✨
• mia-2dlerp(1)Linearly combine two 2D images.✨
• mia-2dmany2one-nonrigid(1)Registration of a series of 2D images✨
• mia-2dmulti-force(1)Registration force between two images✨
• mia-2dmultiimageregistration(1)Non-linear registration of 2D images.✨
• mia-2dmultiimageto3d(1)Convert a 2D multi-record image to a 3D image.✨
• mia-2dmultiimagevar(1)Evaluate the intensity variation of pixels in a series of images.✨
• mia-2dmyocard-ica(1)Run an ICA analysis on a series of 2D images✨
• mia-2dmyocard-icaseries(1)Run an ICA analysis on a series of 2D images✨
• mia-2dmyocard-segment(1)Work in progress✨
• mia-2dmyoica-full(1)Run a registration of a series of 2D images.✨
• mia-2dmyoica-nonrigid(1)Run a registration of a series of 2D images.✨
• mia-2dmyoica-nonrigid-parallel(1)Run a registration of a series of 2D images.✨
• mia-2dmyoica-nonrigid2(1)Run a registration of a series of 2D images.✨
• mia-2dmyoicapgt(1)Run a registration of a series of 2D images.✨
• mia-2dmyomilles(1)Run a registration of a series of 2D images.✨
• mia-2dmyoperiodic-nonrigid(1)Run a registration of a series of 2D images.✨
• mia-2dmyopgt-nonrigid(1)Run a registration of a series of 2D images.✨
• mia-2dmyoserial-nonrigid(1)Run a serial registration of a series of 2D images.✨
• mia-2dmyoseries-compdice(1)Evaluate the dice index between segmentations.✨
• mia-2dmyoseries-dice(1)Evaluate the dice index between segmentations.✨
• mia-2dmyoset-all2one-nonrigid(1)Non-linear registration of a series of 2D images.✨
• mia-2dsegcompare(1)Evaluate the Hausdorff distance between segmentations.✨
• mia-2dseghausdorff(1)Evaluate the Hausdorff distance between segmentations.✨
• mia-2dsegment-ahmed(1)Run a fuzzy c-means segmentation of a 2D image.✨
• mia-2dsegment-fuzzyw(1)Run a fuzzy c-means segmentation of a 2D image.✨
• mia-2dsegment-local-cmeans(1)Run a c-means segmentation of a 2D image.✨
• mia-2dsegment-local-kmeans(1)Run a k-means segmentation of a 2D image.✨
• mia-2dsegment-per-pixel-kmeans(1)Run a k-means segmentation of a 2D image.✨
• mia-2dsegmentcropbox(1)Evaluate a crop-box around a manual segmentation.✨
• mia-2dsegseriesstats(1)Evaluate time-intensity curves in masked regions of image series.✨
• mia-2dsegshift(1)Translate a segmentation by the given amount.✨
• mia-2dsegshiftperslice(1)Translate a segmentation by the given amount.✨
• mia-2dseries-mincorr(1)Evaluate minimal correlation of time-intensity curves.✨
• mia-2dseries-sectionmask(1)Evaluate masks from a segmentation.✨
• mia-2dseries-segdistance(1)Evaluate mean distance between segmentations.✨
• mia-2dseries2dordermedian(1)Evaluate time-intensity median 2nd order derivative of a series.✨
• mia-2dseries2sets(1)Combine images of a series to sets.✨
• mia-2dseriescorr(1)Evaluate the time-intensity correlation in a series of images.✨
• mia-2dseriesgradMAD(1)Evaluate the time-intensity gradient MAD in a series of images.✨
• mia-2dseriesgradvariation(1)Evaluate the time-intensity gradient variation in a series of images.✨
• mia-2dserieshausdorff(1)Evaluate Hausdorff distance between segmentation sets.✨
• mia-2dseriessmoothgradMAD(1)Evaluate pixel-wise time-intensity gradient of a 2D image series.✨
• mia-2dseriestovolume(1)Create a 3D volume from a segmentation series.✨
• mia-2dstack-cmeans-presegment(1)Pre-classify the input image series by using a c-means estimator✨
• mia-2dstackfilter(1)Filter a series of 2D images in a 3D fashion.✨
• mia-2dto3dimage(1)Combine a series of 2D images to a volume.✨
• mia-2dto3dimageb(1)Combine a series of 2D images to a volume.✨
• mia-2dtrackpixelmovement(1)Track positions in 2D✨
• mia-2dtransform(1)Transform a 2D image.✨
• mia-2dtransformation-to-strain(1)Green strain tensor.✨
• mia-3dbinarycombine(1)Combine two binary images.✨
• mia-3dbrainextractT1(1)Extract the brain from a 3D T1 MRI head image.✨
• mia-3dcombine-imageseries(1)Combine images.✨
• mia-3dcombine-mr-segmentations(1)Combine segmentations.✨
• mia-3dcost(1)Evaluate similarity of two 3D images.✨
• mia-3dcost-translatedgrad(1)Evaluate the cost gradient between two images and convert it to a spline representation.✨
• mia-3dcrispsegment(1)Label segmentation according to probabilities.✨
• mia-3ddeform(1)Transform a 3D image by means of a vector field.✨
• mia-3ddistance(1)Evaluate the distance between two binary shapes.✨
• mia-3ddistance-stats(1)Evaluate distance statistics for two labeled images.✨
• mia-3deval-transformquantity(1)Evaluate derivative of a transformation✨
• mia-3dfield2norm(1)Evaluate the norm image of a 3D vector field.✨
• mia-3dfluid(1)Fluid dynamic 3D registration✨
• mia-3dfluid-syn-registration(1)Non-linear registration of 3D images by using a diffeomorphic SyN registration✨
• mia-3dforce(1)Evaluate the registration force between two 3D images.✨
• mia-3dfuzzysegment(1)Fuzzy c-means segmentation of a 3D image.✨
• mia-3dgetsize(1)Print the dimensions of a 3D image.✨
• mia-3dgetslice(1)Extract slices from a 3D image.✨
• mia-3dimageaddattributes(1)Add attributes to the meta data of a 3D image.✨
• mia-3dimagecombine(1)Combine two 3D images.✨
• mia-3dimagecreator(1)Create a synthetic 3D image.✨
• mia-3dimagefilter(1)Filter a 3D images.✨
• mia-3dimagefilterstack(1)Filter a series of 3D images.✨
• mia-3dimageselect(1)Select one image from multi-image file.✨
• mia-3dimagestatistics-in-mask(1)Evaluate statistics within a masked region of the input data.✨
• mia-3dimagestats(1)Evaluate some image statistics.✨
• mia-3disosurface-from-stack(1)Extract an ist-surface froma a 3D image.✨
• mia-3disosurface-from-volume(1)Extract an ist-surface froma a 3D image.✨
• mia-3dlandmarks-distances(1)Evaluate per landmark distances between 3D landmark sets.✨
• mia-3dlandmarks-transform(1)Transform 3D landmark positions.✨
• mia-3dlerp(1)Linearly combine two 3D images.✨
• mia-3dmany2one-nonrigid(1)Registration of series of 3D images✨
• mia-3dmaskseeded(1)Mask an area by seeded region growing✨
• mia-3dmotioncompica-nonrigid(1)Non-linear registration of a series of 3D images.✨
• mia-3dnonrigidreg(1)Non-linear registration of 3D images✨
• mia-3dnonrigidreg-alt(1)Non-linear registration of 3D images.✨
• mia-3dprealign-nonrigid(1)Registration of a series of 3D images.✨
• mia-3dpropose-boundingbox(1)Evaluate a bounding box for the image.✨
• mia-3drigidreg(1)Linear registration of 3D images.✨
• mia-3dsegment-ahmed(1)Run a fuzzy c-means segmentation of a 3D image.✨
• mia-3dsegment-local-cmeans(1)Run a c-means segmentation of a 3D image.✨
• mia-3dserial-nonrigid(1)Serial registration of 3D images.✨
• mia-3dseries-track-intensity(1)Track intensities of pixels in series of 3D images.✨
• mia-3dtrackpixelmovement(1)Track positions in 3D✨
• mia-3dtransform(1)Transform a 3D image.✨
• mia-3dtransform2vf(1)Create Vectorfield from a transformation.✨
• mia-3dvectorfieldcreate(1)3D vector field creation.✨
• mia-3dvf2transform(1)Convert a 3D vectorfield from a 3D transformation.✨
• mia-3dvfcompare(1)Compare two Vectorfields.✨
• mia-cmeans(1)C-means classification of a histogram.✨
• mia-filenumberpattern(1)File name number pattern analysis✨
• mia-labelsort(1)Create sorted histogram mapping✨
• mia-mesh-deformable-model(1)Fit a mesh by using a deformable model.✨
• mia-mesh-to-maskimage(1)Create a binary mask from the mesh surfac.✨
• mia-meshdistance-to-stackmask(1)Evaluate the distance between a binary shape given as reference and a mesh.✨
• mia-meshfilter(1)Run filters on a 3D mesh.✨
• mia-multihist(1)histogram of a series of 2D images✨
• mia-myowavelettest(1)Wavelet based curve analysis✨
• mia-plugin-help(1)Print help about plug-in groups✨
• mia-raw2image(1)Convert raw data into a 2D image✨
• mia-raw2volume(1)Convert raw data into a 3D image✨
• mia-wavelettrans(1)Column wise wavelet transform✨