Automatic Segmentation of the Optic Radiation Using DTI in Healthy Subjects and Patients with Glaucoma

El-Rafei, Ahmed; Engelhorn, Tobias; Waerntges, Simone; Doerfler, Arnd; Hornegger, Joachim; Michelson, Georg

doi:10.1007/978-94-007-0011-6_1

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Algorithm For Semi-automated Segmentation Of the Optic Radia1

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“…The previously developed algorithm of our group for automated segmentation of the optic radiation in DTI slices is described in detail elsewhere [17]. Briefly, the algorithm relies on the physiological properties of the optic radiation (anterior-posterior diffusion direction) to obtain an automated estimation of the optic radiation.…”

Section: Algorithm For Semi-automated Segmentation Of the Optic Radiamentioning

confidence: 99%

Cluster Analysis of Glaucoma Patients Using the Retinal Nerve Fiber Layer Thickness of the Optic Nerve and DTI Parameters of the Optic Radiation

Michelson¹,

Wärntges

Engelhorn³

et al. 2012

J Clinic Experiment Ophthalmol

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and diffusivity of the Brownian motion of water molecules. They may be derived from the so-called diffusion tensor [10]. The diffusion tensor can be represented by an ellipsoid, which is characterized by three eigenvalues (λ 1 , λ 2, and λ 3) and three eigenvectors in a local frame of each image voxel. Diffusivity is estimated by the average of the three eigenvalues and anisotropy means that the diffusion has directionality in parts of the brain [11,12]. The fractional anisotropy (FA) gives information about the magnitude portion of the diffusion tensor caused by anisotropy [13,14]. The mean diffusivity (MD) represents the

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Section: Algorithm For Semi-automated Segmentation Of the Optic Radiamentioning

confidence: 99%

Cluster Analysis of Glaucoma Patients Using the Retinal Nerve Fiber Layer Thickness of the Optic Nerve and DTI Parameters of the Optic Radiation

Michelson¹,

Wärntges

Engelhorn³

et al. 2012

J Clinic Experiment Ophthalmol

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Glaucoma Classification Based on Histogram Analysis of Diffusion Tensor Imaging Measures in the Optic Radiation

El-Rafei

Engelhorn

Wärntges

et al. 2011

Computer Analysis of Images and Patterns

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Automatic Segmentation of the Optic Radiation Using DTI in Healthy Subjects and Patients with Glaucoma

Cited by 2 publications

References 40 publications

Cluster Analysis of Glaucoma Patients Using the Retinal Nerve Fiber Layer Thickness of the Optic Nerve and DTI Parameters of the Optic Radiation

Cluster Analysis of Glaucoma Patients Using the Retinal Nerve Fiber Layer Thickness of the Optic Nerve and DTI Parameters of the Optic Radiation

Glaucoma Classification Based on Histogram Analysis of Diffusion Tensor Imaging Measures in the Optic Radiation

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