Paper
3 March 2007 Automatic delineation of the optic nerves and chiasm on CT images
Michael Gensheimer, Anthony Cmelak, Kenneth Niermann, Benoit M. Dawant
Author Affiliations +
Abstract
Delineating critical structures for radiotherapy of the brain is required for advanced radiotherapy technologies to determine if the dose from the proposed treatment will impair the functionality of the structures. Employing an automatic segmentation computer module in the radiation oncology treatment planning process has the potential to significantly increase the efficiency, cost-effectiveness, and, ultimately, clinical outcome of patients undergoing radiation therapy. In earlier work, we have shown that atlas-based segmentation of large structures such as the brainstem or the cerebellum was an achievable objective. We have also shown that smaller structures such as the optic nerves or optic chiasm were more difficult to segment automatically. In this work, we present an extension to this approach in which atlas-based segmentation is followed by a series of additional steps. We show that this new approach substantially improves our previous results. We also show that we can segment CT images alone when we previously relied on a combination of MR and CT images.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Gensheimer, Anthony Cmelak, Kenneth Niermann, and Benoit M. Dawant "Automatic delineation of the optic nerves and chiasm on CT images", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651216 (3 March 2007); https://doi.org/10.1117/12.711182
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CITATIONS
Cited by 15 scholarly publications.
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KEYWORDS
Nerve

Image segmentation

Computed tomography

Magnetic resonance imaging

Optic nerve

Radiotherapy

Tissue optics

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