Plugin type: 3dimage/fullcost

This class of cost functions evaluates the cost resulting from the use of a certain transformation. This may include a penalty term that ensures the smoothness of a transformation or the evaluation of a similarity measure between a transformed study data set and a reference data set. These cost functions can be combined and weighted.

Plugins:

image labelimage maskedimage taggedssd

image

Generalized image similarity cost function that also handles multi-resolution processing. The actual similarity measure is given es extra parameter.. Supported parameters are:

NameTypeDefaultDescription
costfactoryssdCost function kernel. For supported plug-ins see Plugin type: 3dimage/cost
debugbool0Save intermediate resuts for debugging
refstring(input)Reference image
srcstring(input)Study image
weightfloat1weight of cost function

labelimage

Similarity cost function that maps labels of two images and handles label-preserving multi-resolution processing.. Supported parameters are:

NameTypeDefaultDescription
maxlabelint in [2, 32000]256maximum number of labels to consider
refstring(input)Reference image
srcstring(input)Study image
weightfloat1weight of cost function

maskedimage

Generalized masked image similarity cost function that also handles multi-resolution processing. The provided masks should be densly filled regions in multi-resolution procesing because otherwise the mask information may get lost when downscaling the image. The mask may be pre-filtered - after pre-filtering the masks must be of bit-type.The reference mask and the transformed mask of the study image are combined by binary AND. The actual similarity measure is given es extra parameter.. Supported parameters are:

NameTypeDefaultDescription
costfactoryssdCost function kernel. For supported plug-ins see Plugin type: 3dimage/maskedcost
refstring(input)Reference image
ref-maskstring(input)Reference image mask (binary)
ref-mask-filterfactory Filter to prepare the reference mask image, the output must be a binary image.. For supported plug-ins see Plugin type: 3dimage/filter
srcstring(input)Study image
src-maskstring(input)Study image mask (binary)
src-mask-filterfactory Filter to prepare the study mask image, the output must be a binary image.. For supported plug-ins see Plugin type: 3dimage/filter
weightfloat1weight of cost function

taggedssd

Evaluates the Sum of Squared Differences similarity measure by using three tagged image pairs. The cost function value is evaluated based on all image pairs, but the gradient is composed by composing its component based on the tag direction.. Supported parameters are:

NameTypeDefaultDescription
refxstring(input)Reference image X-tag
refystring(input)Reference image Y-tag
refzstring(input)Reference image Z-tag
srcxstring(input)Study image X-tag
srcystring(input)Study image Y-tag
srczstring(input)Study image Z-tag
weightfloat1weight of cost function

Plugin consumers:

mia-3dcost mia-3dmany2one-nonrigid mia-3dnonrigidreg mia-3dnonrigidreg-alt mia-3dprealign-nonrigid mia-3dserial-nonrigid