[ITK-users] New Submission: Head and Neck Segmentation Based on Anatomical Knowledge

[MIDAS Journal]

Hello,

A new submission has been added to the MIDAS Journal.

Title: Head and Neck Segmentation Based on Anatomical Knowledge
Authors: Aghdasi N., Li Y., Berens A., Moe K., Hannaford B.
Abstract: We present a fully automatic method for segmenting the head and neck structures, such as optic nerve and mandible in CT images using anatomical landmarks and prior knowledge. The aim is to use spatial relationship of landmarks along with image processing techniques to detect these structures robustly and efficiently. Utilizing prior knowledge and reliable anatomical landmarks to define an optimal Region of Interest (ROI) which contains the optic nerve or mandible is an effective way for fast localization and successful segmentation. This approach is robust to CT data with variable voxel resolution and does not require large training data sets. 

Download and review this publication at: http://hdl.handle.net/10380/3545

Generated by the MIDAS Journal

You are receiving this email because you asked to be informed by the MIDAS Journal for new submissions. To change your email preference visit http://midasjournal.org/ .