EIT reconstruction algorithms: pitfalls, challenges and recent developments
By William Robert Breckon Lionheart. Physiological Measurement, 2003
521 citations recorded by the source corpus.
We review developments, issues and challenges in electrical impedance tomography (EIT) for the 4th Conference on Biomedical Applications of Electrical Impedance Tomography, held at Manchester in 2003. We focus on the necessity for three-dimensional data collection and reconstruction, efficient solution of the forward problem, and both present and future reconstruction algorithms. We also suggest common pitfalls or ‘inverse crimes’ to avoid.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/7498c2e06c80e50aa1035ad4cc117c7440ba96cf
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In Biomedical Engineering
- Marvin M. Doyley
- Richard H. Bayford
- Colin Carpenter
- Subhadra Srinivasan
- Brian W. Pogue
- Matthew Eames
- Keith D. Paulsen
- Phaneendra K. Yalavarthy
In Electrical and Electronic Engineering
- Marvin M. Doyley
- Richard H. Bayford
- Andy Adler
- H. Dehghani
- Colin Carpenter
- Subhadra Srinivasan
- Brian W. Pogue
- Matthew Eames
In Mathematical Physics
- Marvin M. Doyley
- Richard H. Bayford
- H. Dehghani
- Colin Carpenter
- Subhadra Srinivasan
- Brian W. Pogue
- Matthew Eames
- Keith D. Paulsen
Citations in the corpus
- Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction (2008, methodology): “To avoid inverse crime in image reconstruction [56], a second mesh was generated, with fewer degrees of freedom consisting of a total of 1785 nodes corresponding to 3418 linear triangular elements.”
- GREIT: a unified approach to 2D linear EIT reconstruction of lung images (2009, methodology): “• Regional pneumothorax / pleural effusion: These data were measured in anesthetized ventilated supine pigs as part of the study of Hahn et al (2006) using the Goe MF II EIT system and performed at the University of Göttingen, Germany.”
- Model-based elastography: a survey of approaches to the inverse elasticity problem (2012, background): “However, the main requirement for an efficient mesh generator is that it should be capable of meshing an object that is composed of both smooth and irregular surfaces (Lionheart 2004).”
- Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group (2016, unknown): “For an introduction to these algorithm developments, see (25-27).”
- Recent advances in diffuse optical imaging (2005, background): “It requires ionizing radiation and its benefits for younger women are unclear (Lucassen et al 2004).”
- A Miniature Electrical Impedance Tomography Sensor and 3-D Image Reconstruction for Cell Imaging (2017, background): “Tremendous progress has been made in advancing EIT image reconstruction algorithms in the past decades and comprehensive reviews can be found in [24] and [25].”