Image reconstruction with diffraction tomography using different inverse Radon transform algorithms

Yazgan, B.; Paker, Selçuk; Kartal, Mesut

doi:10.1109/ibed.1992.247107

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…Microwave penetration in a variety of specific materials had provided light for the development of a prototype application for image reconstruction aimed at obtaining information on the internal structure of a physical object [8]. A mathematical model of computed tomography (CT) image reconstruction is defined as a quantitative explanation of radiation interaction with the particle object matter.…”

Section: Methodsmentioning

confidence: 99%

Prototype Model Approach for Developing a Computed Tomography Scanner Application

Yusoff¹,

Sulaiman²,

Shafinah³

et al. 2022

Novel Perspectives of Engineering Research Vol. 8

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The development of software applications for image reconstruction systems is critical in the computed tomography (CT) research study. An experimental prototype was the research tool used to create a series of useful prototypes for evaluating reconstruction methods. The prototype model approach has a short development period when developing an initial prototype for the user. A CT scanner software prototype was created using the MATLAB image processing toolbox together with the Graphical User Interface (GUI) and Graphical User Interface Development Environment (GUIDE). The prototype model was chosen to guide the development of the prototype application and, more importantly, to provide a platform for updating a system using existing knowledge. The prototype model was capable of creating synthetic CT scanner datasets, displaying a sinogram image from the synthetic datasets, constructing images using the back projection technique, and displaying cross-section images. This study yielded two kinds of images: unfiltered and blurry images and filtered and clear images. This study also concentrated on two-dimensional parallel-beam and fan-beam geometry configuration; the principle of transforming fan-beam datasets into parallel-beam datasets was implemented using the classic rebinning concept.

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Section: Methodsmentioning

confidence: 99%

Prototype Model Approach for Developing a Computed Tomography Scanner Application

Yusoff¹,

Sulaiman²,

Shafinah³

et al. 2022

Novel Perspectives of Engineering Research Vol. 8

View full text Add to dashboard Cite

show abstract

“…Microwave penetration in a variety of specific materials had provided light for the development of a prototype application for image reconstruction aimed in obtaining information on the internal structure of a physical object [5]. A mathematical model of computed tomography (CT) image reconstruction is defined as a quantitative explanation of radiation interaction with the particle object matter.…”

Section: Methodsmentioning

confidence: 99%

Development of Computed Tomography Scanner Application: Prototype Model Approach

Yusoff

Sulaiman

Shafinah³

et al. 2016

IJSET

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The development of software application for image reconstruction system is essential in the research study of computed tomography (CT). An experimental prototype was the research tool used in developing a series of useful prototype to evaluate the reconstruction methods. A CT scanner software prototype was created using the MATLAB image processing toolbox together with the Graphical User Interface (GUI) and Graphical User Interface Development Environment (GUIDE). The prototype model was selected to guide the development of the prototype application and mainly to provide a platform to update a system from the available knowledge. The prototype model was capable in creating a CT scanner synthetic datasets, display a sinogram image from the synthetic datasets, construct images using back projection technique and displaying cross-section images. Two types of images were acquired from this research, the first type was the unfiltered and blurred image and the second type was the filtered and clear image. This research also focused on two-dimensional parallel-beam and fan-beam geometry configuration; the principle of transforming fan-beam datasets into parallel-beam datasets was carried out using the classical rebinning concept.

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“…Generally, three different inverse Radon transform methods are direct inverse Radon transform (DIRT), filtered back-projection (FBP) and convolution filtered back-projection (CFBP) [20]. DIRT is computationally efficient, but it introduces some artifact.…”

Section: Inverse Radon Transformmentioning

confidence: 99%

A Wavelet Multiscale De-Noising Algorithm Based on Radon Transform

Zhu¹,

Yang²,

Zhou³

et al. 2012

Wavelet Transforms and Their Recent Applications in Biology and Geoscience

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Image reconstruction with diffraction tomography using different inverse Radon transform algorithms

Cited by 6 publications

References 2 publications

Prototype Model Approach for Developing a Computed Tomography Scanner Application

Prototype Model Approach for Developing a Computed Tomography Scanner Application

Development of Computed Tomography Scanner Application: Prototype Model Approach

A Wavelet Multiscale De-Noising Algorithm Based on Radon Transform

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