Task-specific uncertainty estimation for medical CT measurements
<p>Computed tomography (CT) is an important imaging technology for medical diagnosis purposes. However, by improving the CT scanners with regard to scan resolution and times, the use of CT is no longer limited to the diagnostic field. Different minimally invasive procedures are image-guided. C...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-12-01
|
Series: | Journal of Sensors and Sensor Systems |
Online Access: | https://www.j-sens-sens-syst.net/7/627/2018/jsss-7-627-2018.pdf |
Summary: | <p>Computed tomography (CT) is an important imaging technology for medical
diagnosis purposes. However, by improving the CT scanners with regard to scan
resolution and times, the use of CT is no longer limited to the diagnostic
field. Different minimally invasive procedures are image-guided.
CT-based surgical navigation utilizes 3-D measurements. Therefore,
uncertainties in the imaging and image processing lead to erroneous initial
conditions for the navigation process and result in a higher risk of
unintended injuries of anatomical risk structures. To minimize the risk of
unintended injuries, the uncertainties of the imaging process need to be
estimated and considered during the planning of minimally invasive surgery.
The estimation of uncertainties for medical measurements is still at the
beginning though. Within this contribution, we show that it is important to
consider the uncertainty of different measurement tasks during surgical
planning using the example of minimally invasive surgery to the lateral skull
base. A method for the task-specific uncertainty estimation is used to
estimate the uncertainties for defined measurement tasks. Afterwards, we will
discuss how the results have to be considered during the surgical planning
process.</p> |
---|---|
ISSN: | 2194-8771 2194-878X |