Literature DB >> 17036153

Comparison of fMRI coregistration results between human experts and software solutions in patients and healthy subjects.

Andreas Gartus1, Alexander Geissler, Thomas Foki, Amir Reza Tahamtan, Gerald Pahs, Markus Barth, Katja Pinker, Siegfried Trattnig, Roland Beisteiner.   

Abstract

Functional magnetic resonance imaging (fMRI) performed by echo-planar imaging (EPI) is often highly distorted, and it is therefore necessary to coregister the functional to undistorted anatomical images, especially for clinical applications. This pilot study provides an evaluation of human and automatic coregistration results in the human motor cortex of normal and pathological brains. Ten healthy right-handed subjects and ten right-handed patients performed simple right hand movements during fMRI. A reference point chosen at a characteristic anatomical location within the fMRI sensorimotor activations was transferred to the high resolution anatomical MRI images by three human fMRI experts and by three automatic coregistration programs. The 3D distance between the median localizations of experts and programs was calculated and compared between patients and healthy subjects. Results show that fMRI localization on anatomical images was better with the experts than software in 70% of the cases and that software performance was worse for patients than healthy subjects (unpaired t-test: P = 0.040). With 45.6 mm the maximum disagreement between experts and software was quite large. The inter-rater consistency was better for the fMRI experts compared to the coregistration programs (ANOVA: P = 0.003). We conclude that results of automatic coregistration should be evaluated carefully, especially in case of clinical application.

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Year:  2006        PMID: 17036153     DOI: 10.1007/s00330-006-0459-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  42 in total

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7.  A framework to analyze cerebral mean diffusivity using surface guided diffusion mapping in diffusion tensor imaging.

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8.  The benefits of skull stripping in the normalization of clinical fMRI data.

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9.  Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors.

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  9 in total

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