2001
DOI: 10.1002/1097-0193(200104)12:4<203::aid-hbm1016>3.0.co;2-x
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Integrated volume visualization of functional image data and anatomical surfaces using normal fusion

Abstract: A generic method, called normal fusion, for integrated three-dimensional (3D) visualization of functional data with surfaces extracted from anatomical image data is described. The first part of the normal fusion method derives quantitative values from functional input data by sampling the latter along a path determined by the (inward) normal of a surface extracted from anatomical data; the functional information is thereby projected onto the anatomical surface independently of the viewpoint. Fusion of the anat… Show more

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Cited by 17 publications
(4 citation statements)
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“…However, it is also conceivable that more refined analyses will lead to a further functional parcellation of the areas involved. a Attention [684] b Calculation [684] c Activation arising from a working memory task [66] d Processing of incorrect arithmetic equations [461] e Maternal love [39] f Performance of a verbal working memory task [583] g Reading aloud irregular words [289] h Meditative state [418] j Finger opposition task [713] k Visual-spatial orienting [450] l Coherence processes in language comprehension [184] m Executive function in working memory [523] n Embarrassment [724] o Perception of visual motion: V5…”
Section: Reviews Of Functional Neuroimaging Resultsmentioning
confidence: 99%
“…However, it is also conceivable that more refined analyses will lead to a further functional parcellation of the areas involved. a Attention [684] b Calculation [684] c Activation arising from a working memory task [66] d Processing of incorrect arithmetic equations [461] e Maternal love [39] f Performance of a verbal working memory task [583] g Reading aloud irregular words [289] h Meditative state [418] j Finger opposition task [713] k Visual-spatial orienting [450] l Coherence processes in language comprehension [184] m Executive function in working memory [523] n Embarrassment [724] o Perception of visual motion: V5…”
Section: Reviews Of Functional Neuroimaging Resultsmentioning
confidence: 99%
“…HSV method proposed in Ref. [ 12 ] fused the MRI and SPECT images by employing a color encoding mechanism. It provides better structural and metabolic features with less spectral distortion.…”
Section: Related Workmentioning
confidence: 99%
“…They combined segmented structures and vessels with functional areas from magnetoencephalography (MEG) and fMRI data in a neuro-navigation application. As one of the most notable early techniques where surfaces are used for combined information, Stokking et al presented a visualization method that combines functional input data and a surface extracted from anatomical data [SZV01]. They map fMRI values onto a brain surface using the surface normal and evaluate their technique on both registered (S)PE(C)T/MRI and fMRI/MRI.…”
Section: Neurosurgerymentioning
confidence: 99%