2D EIT for biomedical imaging: Design, measurement, simulation, and image reconstruction

Lim, Kim; Shi, Guining; McCarter, Kyle; George, R.T.; Ybarra, Gary; Joines, William T.; Wartenberg, S.A.; Liu, Qing

doi:10.1002/mop.22938

Cited by 2 publications

(2 citation statements)

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“…Two major categories of image reconstruction methods are analytical reconstruction (AR) and iterative reconstruction (IR). [5][6][7] Recently, various IRAs have been developed for the image reconstruction of PA, including back-projection algorithm, [8][9][10] time-reversal, 11 spatial phase-controlled algorithm, 12,13 fast Fourier transform, 14,15 delay-and-sum reconstruction, [16][17][18][19] and algebraic reconstruction technique (ART). 20 All of these methods have their own advantages and disadvantages, but studying the details of their advantages and disadvantages is beyond the scope of this article.…”

Section: Introductionmentioning

confidence: 99%

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Modified algebraic reconstruction technique based on circular scanning geometry to improve processing time in photoacoustic tomography

Darband

Qorbani

Aghdam

2023

Micro & Optical Tech Letters

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Photoacoustic imaging is low-risk, and noninvasive tool for imaging biological tissues that acoustically respond to absorbed irradiating nonionized short laser pulse by tissue, then the image of light energy absorption distribution in the tissue has been reconstructed by image reconstruction algorithms. Indeed, photoacoustic tomography is a hybrid imaging modality that combines pure optical and acoustic imaging methods to take advantage of them, therefore, it contains high optical contrast with good ultrasonic resolution. However, improving its main parts is challenging. One of the most important parts of photoacoustic imaging is image reconstruction using appropriate algorithms. There are various image reconstruction methods. Image reconstruction based on an algebraic algorithm can reconstruct a clear image without artifact, but the algorithm is typically timeconsuming. This paper deals with this drawback of the algorithm. Simulations demonstrate significant improvement in the processing time of reconstructed images achieved by our proposed algorithm as compared to the phase-controlled algorithm. Based on the image reconstruction algorithm in circular scanning geometry presented in this article, the processing time required to create a 2D tomographic image is reduced from 60 to 3.89 s compared to our previous work, which was based on a phase-controlled algorithm. This improvement was based on inspiration from the experiences of our past works in dealing with various image reconstruction algorithms, which ultimately led to improvement in the calculation time.

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Section: Introductionmentioning

confidence: 99%

“…One of the most important parts of the PAI system in determining sensitivity and resolution is the image reconstruction algorithm (IRA). Two major categories of image reconstruction methods are analytical reconstruction (AR) and iterative reconstruction (IR) 5–7 …”

Section: Introductionmentioning

confidence: 99%