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SU‐E‐I‐77: A Phantom to Assess EIT/CT Imaging System
Author(s) -
Krishnan K,
Liu J,
Thomas S,
Kohli K
Publication year - 2013
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4814188
Subject(s) - imaging phantom , electrical impedance tomography , scanner , tomography , materials science , image quality , biomedical engineering , iterative reconstruction , voltage , electrode , nuclear medicine , medical imaging , physics , optics , computer science , artificial intelligence , medicine , image (mathematics) , quantum mechanics
Purpose: Fusion of Electrical Impedance Tomography (EIT) and Computed Tomography (CT) can potentially provide functional EIT information along with high resolution anatomical information from CT. In this study, we have developed a phantom for evaluating an EIT/CT imaging system. Methods: An electrically conductive phantom was prepared by pouring a molten mixture of gelatin solution and glycerol into a cylindrical container. The mixture was then allowed to solidify. A cylindrical cavity was then created at the center of the medium. Sixteen electrodes were attached equi‐distantly around the phantom. A fixed current was injected through a pair of electrodes, and the induced boundary voltages across all pairs of neighboring electrodes were measured sequentially. The entire voltage measurement process was repeated for all combinations of electrodes through which the current was injected. EIT images were obtained from the boundary voltage data using EIDORS software. The CT data was acquired using a Phillips CT Scanner. EIT and CT data were also collected when the central cavity of the medium was filled with de‐ionized water and 0.9% saline separately. The two images were combined using the boundary and statistical information, extracted using the morphological image processing modules of Matlab. Image quality was evaluated by measuring the entropy of the CT, EIT and the fused images. Results: Phantom regions of saline and distilled water show distinct contrast as compared to CT which fails to differentiate the regions. The location of the contrast objects was found to match their expected locations with respect to CT. Conclusion: We have developed a phantom to assess EIT/CT image quality. The phantom can be extended to include measures such as signal to noise, contrast to noise, relative information content and geometric accuracy of an EIT/CT imaging system.