A Parametric Level Set-Based Approach to Difference Imaging in Electrical Impedance Tomography
- Submitting institution
-
The University of Sheffield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 5717
- Type
- D - Journal article
- DOI
-
10.1109/tmi.2018.2857839
- Title of journal
- IEEE Transactions on Medical Imaging
- Article number
- -
- First page
- 145
- Volume
- 38
- Issue
- 1
- ISSN
- 0278-0062
- Open access status
- Deposit exception
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work presents a novel and robust medical imaging framework to be used in rapid lung diagnostics. The proposed methodology maximizes resilience against noise and modelling errors by utilizing difference reconstruction. To this end, the framework enables easily interpretable images and high-speed computation via the integration of shape and level set topology parameterization. These key features are demonstrated experimentally using pig, gold-standard tank, and simulated data. It is shown that the proposed imaging framework outperforms contemporary methods in interpretability of image changes, imaging speed, and accuracy of reconstructions; thus establishing the method as the cutting edge in difference electrical imaging.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -