Tools for Myocardial Perfusion Analysis
Prev | Chapter 2. Program Reference | Next

## Tools for Myocardial Perfusion Analysis

These programs provide various means to evaluate statistics and comparisons for series of images that stem from myocardial perfusion imaging.

mia-2dmyocard-ica

This program is used to run a ICA on a series of myocardial perfusion images to create sythetic references that can be used for motion correction by image registration. If the aim is to run a full motion compensation then it is better to create a segmentation set and use mia-2dmyoica-nonrigid. If the input data is given by means of a segmentation set, then on can also use mia-2dmyocard-icaseries. This program is essentially used to test different options on how to run the ICA forreference image creation.

mia-2dmyocard-icaseries

This program is used to run a ICA on a series of myocardial perfusion images given in a segmentation set in order to create sythetic references that can be used for motion correction by image registration. If the aim is to run a full motion compensation then it is better run mia-2dmyoica-nonrigid, since this program is essentially the same without the registration bits.

mia-2dmyoseries-compdice

This program is used to evaluate the per-frame dice index of segmented regions of two image series

mia-2dmyoseries-dice

This program is used to evaluate the per-frame dice index of segmented regions of an image with respect to the segmentation of a reference frame from the same series.

mia-2dsegcompare

This program is used to evaluate the Hausdorff distance between each frame of a perfusion time series of the input set to the corresponding frame of the reference set and prints the result to stdout.

mia-2dseghausdorff

Get the per-slice Hausdorff distance of a segmentation with respect to a given reference frame and print it to stdout.

mia-2dsegmentcropbox

This program is used on a segmentation set and evaluates a bounding box that encloses the segmentation in all slices. This bounding box is then used to crop the original images, correct the segmentation and store a new segmentation set with the cropped images. The cropped images will be of the same type as the original images. If no segmentation is given in the set, the result is undefined.

mia-2dsegseriesstats

This program is used evaluate various time-intensity curves over a series of images given by a segmentation set. Specifically, the program is tailored to evaluate average intensities and variations of sections the left ventricle myocardium. The segmentation set must contain the segmentations for all slices that will be accessed during evaluation.

mia-2dsegshift

This program move the segmentation(s) of an image series by using a shift that is equal for all slices. The program also may remove images from the begin of the series. The program can be used to correct the segmentation of the images if the images where cropped.

mia-2dsegshiftperslice

This program move the segmentation(s) of an image series by using a shift that is given on a per-slice base. The program can be used to correct the segmentation of the images if a linear registration was executed that only applies a translation and does not correct the segmentation automatically.

mia-2dseries-mincorr

Given a set of images of temporal succession, this program evaluates the minimal correlation of the time-intensity curve between neighboring pixels.

mia-2dseries-sectionmask

Evaluate the masks for the sections of a segmented frame.

mia-2dseries-segdistance

Get the mean distance of a segmentation boundary to the reference boundary.

mia-2dseries2dordermedian

This program evaluates the pixel-wise median of the absolute values of the gauss filtered 2nd order temporal derivative of a series of images. In addition, it can be used to output the time-intensity curve of a given pixel.The program supports slice-wise spacial pre-filtering by giving additional filters as free parameters (filter/2dimage).

mia-2dseries2sets

This program takes all image files that are given as free parameters on the command line and creates segmentation sets based on information found in the images. Used information is the z-location of the slice and the acquisition number. The code is tailored to use the according descriptors defined in the DICOM standard. All images with the same slice location will be grouped together in one segmentation set and ordered according to their acquisition number. Slice locations are rounded to three digits accuracy to make proper comparison of floating point values feasible.

mia-2dseriescorr

Given a set of images of temporal succession, evaluates images that represent the time-intensity correlation in horizontal and vertical direction as well as average correlation of each pixel with its neighbors. All input images must be of the same pixel type and size.

mia-2dseriesgradMAD

Given a set of images of temporal succession, evaluates the pixel-wise temporal gradient and then its median average distance (MAD) and stores the result in an image. Spacial pre-filtering may be applied as given additional plugin(s) (filter/2dimage).

mia-2dseriesgradvariation

Given a set of images of temporal succession, this program evaluates the gradient variation of the pixel-wise time-intensity curves of this series. If the input image set provides a segmentation, then this segmentation can be used to create a bounding box and restrict evaluation to this box.

mia-2dserieshausdorff

Get the per-slice Hausdorff distance of a segmentation with respect to a given reference segmentation set.

mia-2dseriessmoothgradMAD

Given a set of images of temporal succession, evaluate the temporal pixel-wise gaussian and evaluate pixel-wise its MAD.A spacial pre-filtering may be applied by specifying additional plugins (filter/2dimage)

mia-2dseriestovolume

Obtaines a 3D volume image by combining the images of the segmentation set.

Prev | Up | Next
mia-2dtrackpixelmovement | Home | mia-2dmyocard-ica