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Distinguishing and quantification of the human visual pathways using high-spatial-resolution diffusion tensor tractography
Authors:Arash Kamali  Khader M. Hasan  Pavani Adapa  Azadeh Razmandi  Zafer Keser  John Lincoln  Larry A. Kramer
Affiliation:1. Department of Diagnostic Radiology, University of Medicine and Dentistry of New Jersey Cooper, Camden, NJ, USA;2. Department of Diagnostic & Interventional Imaging, University of Texas at Houston, Houston, TX, USA;3. Department of Diagnostic Radiology, University of Nebraska, Omaha, NE, USA;4. Department of Physical Medicine and Rehabilitation, University of Texas at Houston and TIRR Memorial Hermann NeuroRecovery Research Center, Houston, TX, USA;5. Department of Neurology, University of Texas at Houston, Houston, TX, USA
Abstract:Quantification of the living human visual system using MRI methods has been challenging, but several applications demand a reliable and time-efficient data acquisition protocol. In this study, we demonstrate the utility of high-spatial-resolution diffusion tensor fiber tractography (DTT) in reconstructing and quantifying the human visual pathways. Five healthy males, age range 24–37 years, were studied after approval of the institutional review board (IRB) at The University of Texas Health Science Center at Houston. We acquired diffusion tensor imaging (DTI) data with 1-mm slice thickness on a 3.0-Tesla clinical MRI scanner and analyzed the data using DTT with the fiber assignment by continuous tractography (FACT) algorithm. By utilizing the high-spatial-resolution DTI protocol with FACT algorithm, we were able to reconstruct and quantify bilateral optic pathways including the optic chiasm, optic tract, optic radiations free of contamination from neighboring white matter tracts.
Keywords:Diffusion tensor imaging   Diffusion tensor tractography   High spatial resolution   Human visual system   Visual pathways   Retinogeniculocalcarine tract   Optic nerve   Optic chiasm   Optic tract   Optic radiations   Calcarine cortex   Occipital lobe
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