A new semi-quantitative approach for analysing 3T diffusion tensor imaging of optic fibres and its clinical evaluation in glaucoma

Academic Radiology
Tobias EngelhornArnd Doerfler

Abstract

Diffusion tensor imaging can depict rarefaction of the optical fibers. Manual segmentation is time consuming. The purposes of the study were (1) to present a new semiquantitative segmentation approach for analyzing 3-T diffusion tensor imaging of optical fibers and (2) to clinically test the new approach by comparing optic fiber rarefaction in patients with glaucoma to that in age-matched, healthy controls. To perform semiautomated and quantitative segmentation of the optical radiation, a Mathcad-based software program was developed. The results were compared to the manual evaluation of the images performed by two experienced neuroradiologists. The eyes of 42 subjects (22 patients with glaucoma and 20 controls) aged 37 to 86 years were assessed in full ophthalmologic examinations. Magnetic resonance imaging was performed using a 3-T high-field scanner. The evaluation using the new approach matched 94% with manually acquired rarefaction of the optical radiation; Cronbach's α was >0.81 for calculation of the manually and semiautomatically derived volumes. The new approach seems to be robust and is clearly faster compared to the more tedious manual segmentation. Using diffusion tensor imaging at 3 T, it could be shown that there w...Continue Reading

References

Jan 23, 1996·Proceedings of the National Academy of Sciences of the United States of America·D M Dacey
Sep 27, 2007·Journal of Magnetic Resonance Imaging : JMRI·Philipp StaempfliSpyridon Kollias

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Citations

Feb 19, 2013·Japanese Journal of Ophthalmology·Hideki MuraiManabu Mochizuki
Apr 29, 2014·Graefe's Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Für Klinische Und Experimentelle Ophthalmologie·Norlina M RamliNorlisah Ramli
Mar 3, 2017·Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft·T EngelhornG Michelson

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