Automated Extraction of Anatomical Measurements From Temporal Bone CT Imaging.
Andy S DingAlexander LuZhaoshuo LiDeepa GalaiyaMasaru IshiiJeffrey H SiewerdsenRussell H TaylorFrancis X CreightonPublished in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2022)
This is the first study to automatically extract relevant temporal bone anatomical measurements from CT scans using segmentation propagation. Measurements from these models can streamline preoperative planning, improve future segmentation techniques, and help develop future image-guided or robot-assisted systems for temporal bone procedures.
Keyphrases
- robot assisted
- deep learning
- bone mineral density
- computed tomography
- dual energy
- contrast enhanced
- image quality
- convolutional neural network
- current status
- bone loss
- bone regeneration
- high resolution
- machine learning
- minimally invasive
- postmenopausal women
- positron emission tomography
- magnetic resonance imaging
- oxidative stress
- patients undergoing
- fluorescence imaging
- single cell