Skull stripping: Difference between revisions
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'''Skull stripping''' (also known as '''brain extraction''' or '''head peeling''') is a term used to describe the separation of [[brain]] and non-brain [[tissue]] of the [[head]] of [[vertebrate]]s, and humans in particular. | '''Skull stripping''' (also known as '''brain extraction''', '''brain peeling''' or '''head peeling''') is a term used to describe the separation of [[brain]] and non-brain [[tissue]] of the [[head]] of [[vertebrate]]s, and humans in particular. | ||
While having its origins in [[anatomical]] [[dissection]]s (where ''brain extraction'' is more commonly used), the term is nowadays mostly employed to describe the application of [[image segmentation]] techniques to [[neuroimaging]] data of the vertebrate head. Such data are typically acquired [[in vivo]] or [[in situ]], i.e. with the [[brain]] inside the head of a living or dead subject. To analyze the brain separately (e.g. by means of [[brain morphometry]]), its share of the image has to be "peeled off" from the surrounding tissue — mainly the [[skull]], [[skin]] and [[muscles]] of the head — as well as [[cerebrospinal fluid]]. | While having its origins in [[anatomical]] [[dissection]]s (where ''brain extraction'' is more commonly used), the term is nowadays mostly employed to describe the application of [[image segmentation]] techniques to [[neuroimaging]] data of the vertebrate head. Such data are typically acquired [[in vivo]] or [[in situ]], i.e. with the [[brain]] inside the head of a living or dead subject. To analyze the brain separately (e.g. by means of [[brain morphometry]]), its share of the image has to be "peeled off" from the surrounding tissue — mainly the [[skull]], [[skin]] and [[muscles]] of the head — as well as [[cerebrospinal fluid]]. | ||
==Algorithms== | ==Algorithms== | ||
A common classification of skull stripping algorithms distinguishes between approaches based on [[mathematical morphology]] and [[thresholding]], on [[edge detection]], on [[a priori information]], or [[deformable-surface algorithm]]s. Various combinations thereof are also frequently employed. | A common classification of skull stripping algorithms distinguishes between approaches based on [[mathematical morphology]] and [[thresholding]], on [[edge detection]], on [[a priori information]], or [[deformable-surface algorithm]]s. Various combinations thereof are also frequently employed.[[Category:Suggestion Bot Tag]] | ||
Latest revision as of 06:00, 19 October 2024
Skull stripping (also known as brain extraction, brain peeling or head peeling) is a term used to describe the separation of brain and non-brain tissue of the head of vertebrates, and humans in particular.
While having its origins in anatomical dissections (where brain extraction is more commonly used), the term is nowadays mostly employed to describe the application of image segmentation techniques to neuroimaging data of the vertebrate head. Such data are typically acquired in vivo or in situ, i.e. with the brain inside the head of a living or dead subject. To analyze the brain separately (e.g. by means of brain morphometry), its share of the image has to be "peeled off" from the surrounding tissue — mainly the skull, skin and muscles of the head — as well as cerebrospinal fluid.
Algorithms
A common classification of skull stripping algorithms distinguishes between approaches based on mathematical morphology and thresholding, on edge detection, on a priori information, or deformable-surface algorithms. Various combinations thereof are also frequently employed.