Shape-Driven EIT Reconstruction Using Fourier Representations
| Autor: | Danping Gu, Dong Liu, Danny Smyl, Jiangfeng Du, Anil Kumar Khambampati, Jiansong Deng |
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| Rok vydání: | 2021 |
| Předmět: |
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Iterative reconstruction 030218 nuclear medicine & medical imaging Reduction (complexity) 03 medical and health sciences symbols.namesake 0302 clinical medicine Electric Impedance Image Processing Computer-Assisted Electrical and Electronic Engineering Tomography Electrical impedance tomography Topology (chemistry) ComputingMethodologies_COMPUTERGRAPHICS Radiological and Ultrasound Technology Topology optimization Computer Science Applications Fourier transform symbols Tomography X-Ray Computed Algorithm Algorithms Software Curse of dimensionality |
| Zdroj: | IEEE Transactions on Medical Imaging. 40:481-490 |
| ISSN: | 1558-254X 0278-0062 |
| DOI: | 10.1109/tmi.2020.3030024 |
| Popis: | Shape-driven approaches have been proposed as an effective strategy for the electrical impedance tomography (EIT) reconstruction problem in recent years. In order to augment the shape-driven approaches, we propose a new method that transforms the shape to be reconstructed as basic primitives directly modeled by using Fourier representations. To allow automatic topological changes between the basic primitives and surrounding objects simultaneously, Boolean operations are employed. The Boolean operations with direct representation of primitives can be utilized for dimensionality and ill-posedness reduction, enabling feasible shape and topology optimization with shape-driven approaches. As a proof of principle, we leverage the proposed method for two dimensional shape reconstruction in EIT with various conductivity distributions. We demonstrate that our method is able to improve EIT reconstructions by enabling accurate shape and topology optimization. |
| Databáze: | OpenAIRE |
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