- 4112 users, 635 publications, 769 reviews -
Automatic Mandible Segmentation on CT Images Using Prior Anatomical Knowledge
|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3545|
Submitted by Nava Aghdasi on 03-03-2016.
We present a fully automatic method for segmenting mandible in CT images using anatomic landmarks and prior knowledge. The aim is to utilize spatial relationship of anatomic landmarks with image processing techniques to detect mandible robustly and efficiently. Applying prior knowledge and reliable anatomical landmarks to define an optimal Region of Interest (ROI) which contains the mandible is an effective way for fast localization and successful segmentation. This approach can be used to segment other structures such as optic nerves by defining a new set of relevant landmarks. This approach is robust to CT data with different scanner setting and does not require large training data sets.
|Download Paper , View Paper|
|Keywords:||Anatomical Knowledge, Mandible, Optic nerve, CT|
Linked Publications more
A MultipleImageIterator for iterating over multiple images simultaneously
by Schaerer J.
InsightToolkit Kinetic Analysis (itk::ka) Library
by Dowson N., Baker C., Raffelt D., Smith J., Thomas P., Salvado O., Rose S.
Recommended Publications more
Automatic Segmentation of Structures in CT Head and Neck Images using a Coupled Shape Model
by Jung F., Knapp O., Wesarg S.
ITK in Biomedical Research and Commercial Applications
by McCormick M., Aylward S., Johnson H., Lowekamp B.
Send a message to the author