Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …

Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

The optic nerve is known to be one of the largest nerve bundles in the human central
nervous system. There have been many studies of optic nerve imaging and post-processing …

In this paper, we propose an automatic method to segment the five main brain sub-regions
(ie left/right hemispheres, left/right cerebellum and brainstem) from magnetic resonance …

Purpose Three-dimensional orbital wall modeling is a time-consuming process because of
the presence of pseudoforamina. We developed an automated three-dimensional modeling …

Known for its distinct role in memory, the hippocampus is one of the most studied regions of
the brain. Recent advances in magnetic resonance imaging have allowed for high-contrast …

Purpose Pathological conditions associated with the optic nerve (ON) can cause structural
changes in the nerve. Quantifying these changes could provide further understanding of …

Purpose Our goal is to develop an accurate, automated tool to characterize the optic nerve
(ON) and cerebrospinal fluid (CSF) to better understand ON changes in disease. Methods …

Purpose: The authors sought to examine relationships between CT metrics derived via an
automated method and clinical parameters of extraocular muscle changes in thyroid eye …

Examining volumetric differences of the amygdala and anterior-posterior regions of the
hippocampus is important for understanding cognition and clinical disorders. However, the …