Home A New Semi-quantitative Approach for Analysing 3T Diffusion Tensor Imaging of Optic Fibres and Its Clinical Evaluation in Glaucoma
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A New Semi-quantitative Approach for Analysing 3T Diffusion Tensor Imaging of Optic Fibres and Its Clinical Evaluation in Glaucoma

Rationale and Objectives

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.

Materials and Methods

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.

Results

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.

Conclusion

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 was increasing atrophy of the optical radiation (fourth neuron) with increasing age in patients with glaucoma. Compared to age-matched, healthy patients, more pronounced atrophy of the fourth neuron was found in patients with glaucoma.

Whether glaucoma-related rarefaction of the optical radiation exists is still dubious, because there are no experimental or clinical studies dealing with this topic. Loss of ganglion cells in the retina and their axons representing the third neuron and atrophy of the fourth neuron have been described in diseases such as traumatic injury and glaucoma . The axons of various retinal ganglion cell subtypes, differing in specific morphology and function, exit the eyeball and finally converge to anatomically distinguishable layers of the lateral geniculate nucleus (LGN) , where a loss of neural cells has also been described for glaucoma .

Diffusion tensor imaging (DTI) can depict the optic nerve (third neuron) and optical radiation (fourth neuron) . However, manual analysis is time consuming. We used DTI with a newly developed semiautomatic segmentation approach to assess rarefaction of the fourth neuron in 20 control subjects aged 45 to 83 years and in 22 severely ill patients with glaucoma aged 37 to 86 years.

Materials and methods

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Figure 1, The various steps of the algorithm for segmentation and quantification of the optical radiation are shown. In panel A2, the green channel from the diffusion tensor image from panel A1 is extracted for the red-green-blue (RGB) images, and threshold operation is performed in the green channel of every selected slice. The white pixel in panel A2, G image, represents green values above a computed threshold value, which is based on the image's histogram. In panel A3, the optical radiation is segmented on the basis of the binarized image. The selected region of interest is the part of optical radiation with fiber tracts emerging from the lateral geniculate nucleus to the primary visual cortex. The resulting area is calculated with pixel per pixel summation. In panel A4, the volume is calculated as area times slice thickness. To determine the overall optical radiation volume, the different slice volumes are summed.

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Results

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Figure 2, Age-related rarefaction of the optical radiation (fourth neuron) in healthy controls is shown.

Figure 3, Comparison of age-related rarefaction of the optical radiation (fourth neuron) in severely ill patients with glaucoma and healthy subjects.

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Discussion

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Conclusion

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References

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