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Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging

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Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging. / Miao, Zhenzhuang; Kosmas, Panagiotis; Ahsan, Syed.

In: Diagnostics, Vol. 8, No. 3, 52, 2018.

Research output: Contribution to journalArticle

Harvard

Miao, Z, Kosmas, P & Ahsan, S 2018, 'Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging', Diagnostics, vol. 8, no. 3, 52. https://doi.org/10.3390/diagnostics8030052

APA

Miao, Z., Kosmas, P., & Ahsan, S. (2018). Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging. Diagnostics, 8(3), [52]. https://doi.org/10.3390/diagnostics8030052

Vancouver

Miao Z, Kosmas P, Ahsan S. Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging. Diagnostics. 2018;8(3). 52. https://doi.org/10.3390/diagnostics8030052

Author

Miao, Zhenzhuang ; Kosmas, Panagiotis ; Ahsan, Syed. / Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging. In: Diagnostics. 2018 ; Vol. 8, No. 3.

Bibtex Download

@article{973b869f69ce40669f369e2ea799e591,
title = "Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging",
abstract = "This paper studies how limited information in data acquired by a wideband microwave tomography (MWT) system can affect the quality of reconstructed images. Limitations can arise from experimental errors, mismatch between the system and its model in the imaging algorithm, or losses in the immersion and coupling medium which are required to moderate this mismatch. We also present a strategy for improving reconstruction performance by discarding data that is dominated by experimental errors. The approach relies on recording transmitted signals in a wide frequency range, and then correlating the data in different frequencies. We apply this method to our wideband MWT prototype, which has been developed in our previous work. Using this system, we present results from simulated and experimental data which demonstrate the practical value of the frequency selection approach. We also propose a K-neighbour method to identify low quality data in a robust manner. The resulting enhancement in imaging quality suggests that this approach can be useful for various medical imaging scenarios, provided that data from multiple frequencies can be acquired and used in the reconstruction process",
keywords = "microwave tomography, medical imaging, reconstruction",
author = "Zhenzhuang Miao and Panagiotis Kosmas and Syed Ahsan",
year = "2018",
doi = "10.3390/diagnostics8030052",
language = "English",
volume = "8",
journal = "Diagnostics (Basel, Switzerland)",
issn = "2075-4418",
publisher = "Dental materials in vivo : Aging and related phenomena. George Eliades, Theodore Eliades, William A Brantley & David C Watts. Quintessence Publishing Co Ltd, ISBN 0-86715-399-7. Br Dent J",
number = "3",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging

AU - Miao, Zhenzhuang

AU - Kosmas, Panagiotis

AU - Ahsan, Syed

PY - 2018

Y1 - 2018

N2 - This paper studies how limited information in data acquired by a wideband microwave tomography (MWT) system can affect the quality of reconstructed images. Limitations can arise from experimental errors, mismatch between the system and its model in the imaging algorithm, or losses in the immersion and coupling medium which are required to moderate this mismatch. We also present a strategy for improving reconstruction performance by discarding data that is dominated by experimental errors. The approach relies on recording transmitted signals in a wide frequency range, and then correlating the data in different frequencies. We apply this method to our wideband MWT prototype, which has been developed in our previous work. Using this system, we present results from simulated and experimental data which demonstrate the practical value of the frequency selection approach. We also propose a K-neighbour method to identify low quality data in a robust manner. The resulting enhancement in imaging quality suggests that this approach can be useful for various medical imaging scenarios, provided that data from multiple frequencies can be acquired and used in the reconstruction process

AB - This paper studies how limited information in data acquired by a wideband microwave tomography (MWT) system can affect the quality of reconstructed images. Limitations can arise from experimental errors, mismatch between the system and its model in the imaging algorithm, or losses in the immersion and coupling medium which are required to moderate this mismatch. We also present a strategy for improving reconstruction performance by discarding data that is dominated by experimental errors. The approach relies on recording transmitted signals in a wide frequency range, and then correlating the data in different frequencies. We apply this method to our wideband MWT prototype, which has been developed in our previous work. Using this system, we present results from simulated and experimental data which demonstrate the practical value of the frequency selection approach. We also propose a K-neighbour method to identify low quality data in a robust manner. The resulting enhancement in imaging quality suggests that this approach can be useful for various medical imaging scenarios, provided that data from multiple frequencies can be acquired and used in the reconstruction process

KW - microwave tomography

KW - medical imaging

KW - reconstruction

U2 - 10.3390/diagnostics8030052

DO - 10.3390/diagnostics8030052

M3 - Article

VL - 8

JO - Diagnostics (Basel, Switzerland)

JF - Diagnostics (Basel, Switzerland)

SN - 2075-4418

IS - 3

M1 - 52

ER -

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