22 March 2016 Short term reproducibility of a high contrast 3-D isotropic optic nerve imaging sequence in healthy controls
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Abstract
The optic nerve (ON) plays a crucial role in human vision transporting all visual information from the retina to the brain for higher order processing. There are many diseases that affect the ON structure such as optic neuritis, anterior ischemic optic neuropathy and multiple sclerosis. Because the ON is the sole pathway for visual information from the retina to areas of higher level processing, measures of ON damage have been shown to correlate well with visual deficits. Increased intracranial pressure has been shown to correlate with the size of the cerebrospinal fluid (CSF) surrounding the ON. These measures are generally taken at an arbitrary point along the nerve and do not account for changes along the length of the ON. We propose a high contrast and high-resolution 3-D acquired isotropic imaging sequence optimized for ON imaging. We have acquired scan-rescan data using the optimized sequence and a current standard of care protocol for 10 subjects. We show that this sequence has superior contrast-to-noise ratio to the current standard of care while achieving a factor of 11 higher resolution. We apply a previously published automatic pipeline to segment the ON and CSF sheath and measure the size of each individually. We show that these measures of ON size have lower short- term reproducibility than the population variance and the variability along the length of the nerve. We find that the proposed imaging protocol is (1) useful in detecting population differences and local changes and (2) a promising tool for investigating biomarkers related to structural changes of the ON.
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Robert L. Harrigan, Robert L. Harrigan, Alex K. Smith, Alex K. Smith, Louise A. Mawn, Louise A. Mawn, Seth A. Smith, Seth A. Smith, Bennett A. Landman, Bennett A. Landman, "Short term reproducibility of a high contrast 3-D isotropic optic nerve imaging sequence in healthy controls", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97831L (22 March 2016); doi: 10.1117/12.2216834; https://doi.org/10.1117/12.2216834
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