Automatic Cephalometric Evaluation of Patients Suffering from Sleep-Disordered Breathing
Innovative Products and Technologies
Technology Offer
Automatic Cephalometric Evaluation of Patients Suffering from Sleep-Disordered Breathing
- RAMOT at Tel Aviv University Ltd.
- From Israel
- Responsive
- Innovative Products and Technologies
Summary of the technology
We address the problem of automatically analyzing lateral cephalo¬metric images as a diagnostic tool for Sleep Disordered Breathing (SDB). First, multiple landmarks and anatomical structures that were previously associated with SDB are localized. Then statistical regression is applied in order to esti¬mate the Respiratory Disturbance Index (RDI), which is the standard measure for the severity of obstructive sleep apnea. The landmark localization is based on a new registration method that is based on Local Affine Frames (LAF). Multiple LAFs are sampled per image based on random selection of triplets of keypoints, and are used to register the input image to the training images. The landmarks are then projected from the training images to the query image. Following a re¬finement step, the tongue, velum and pharyngeal wall are localized.
Project ID : 8-2011-273
Details of the Technology Offer
Obstructive sleep apnea is a condition in which the flow of air pauses or decreases during breathing during sleep. Some people have anatomical differences in the throat area that causes breathing to stop for periods of time (often more than 10 seconds). Sleep apnea sufferers often wake up unrefreshed in the morning and suffer excessive daytime sleepiness (EDS), usually having no idea of the cause since they are totally unaware of the apnea episodes.
This a joint project with Mor Research Applications. for mor information click here:
http://www.mor-research.com/project/sleep-apnea-diagnosis-system/?tid=83