Chapter title |
Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images
|
---|---|
Chapter number | 14 |
Book title |
Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound
|
Published in |
Imaging for patient-customized simulations and systems for point-of-care ultrasound : International Workshops, BIVPCS 2017 and POCUS 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings. B..., September 2017
|
DOI | 10.1007/978-3-319-67552-7_14 |
Pubmed ID | |
Book ISBNs |
978-3-31-967551-0, 978-3-31-967552-7
|
Authors |
Samuel Gerber, Maeliss Jallais, Hastings Greer, Matt McCormick, Sean Montgomery, Bradley Freeman, Deborah Kane, Deepak Chittajallu, Neal Siekierski, Stephen Aylward |
Abstract |
We present an algorithm to automatically estimate the diameter of the optic nerve sheath from ocular ultrasound images. The optic nerve sheath diameter provides a proxy for measuring intracranial pressure, a life threating condition frequently associated with head trauma. Early treatment of elevated intracranial pressures greatly improves outcomes and drastically reduces the mortality rate. We demonstrate that the proposed algorithm combined with a portable ultrasound device presents a viable path for early detection of elevated intracranial pressure in remote locations and without access to trained medical imaging experts. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 24% |
Other | 3 | 14% |
Student > Master | 3 | 14% |
Student > Doctoral Student | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Other | 3 | 14% |
Unknown | 3 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 29% |
Engineering | 5 | 24% |
Agricultural and Biological Sciences | 2 | 10% |
Neuroscience | 1 | 5% |
Computer Science | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 29% |