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2 edition of Filtering techniques in image reconstruction applied to X-ray computed tomography found in the catalog.

Filtering techniques in image reconstruction applied to X-ray computed tomography

K. T. D. Yeung

Filtering techniques in image reconstruction applied to X-ray computed tomography

by K. T. D. Yeung

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Published by University of Birmingham in Birmingham .
Written in English


Edition Notes

Thesis (Ph.D.) - University of Birmingham, Centre for Computing and Computer Science.

Statementby K.T.D. Yeung.
ID Numbers
Open LibraryOL13869864M

Medical imaging modalities have revolutionized health-care approaches by offering a better understanding of the human anatomy. Discovery of x-rays allowed the exploiting of the micro-scaled information of human anatomy. Computed tomography is one of the well-known imaging modalities using x-rays to create images of medical and non-medical objects. CT imaging has several variety of Author: Groundai.   Despite its non-quantitative nature, lambda tomography has a major mathematical advantage over approximate local tomography. Thanks to the simplified reconstruction requirement, lambda tomography eliminates non-local filtering, and image reconstruction can be done with high computational efficiency [].Faridani et al. studied the properties of the Calderon operator and its Cited by: 6.

The footing of medical imagination can be said to be the solution of reverse mathematical jobs. In instance of X-ray imaging, image Reconstruction or iterative Reconstruction is procedure that is used to retrace 2-D or 3-D images from the sum of the x-ray attenuated at a . Iterative Reconstruction for X-Ray Computed Tomography Using Prior-Image Induced Nonlocal Regularization Abstract: Repeated X-ray computed tomography (CT) scans are often required in several specific applications such as perfusion imaging, image-guided biopsy needle, image-guided intervention, and radiotherapy with noticeable by:

  Principles of Computed Tomography (CT) • First Generation (G1) CT Scanners: • It employ a pencil X-ray beam and a single detector. 9. Principles of Computed Tomography (CT) • Second Generation (G2) CT scanners • Operates on same principle as G1 scanners, but the beam used is in the shape of a fan.   Abstract: New designs of future computed tomography (CT) scanners called sparse-view CT and interior CT have been considered in the CT community. Since these CTs measure only incomplete projection data, a key to put these CT scanners to practical use is a development of advanced image reconstruction methods.


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Filtering techniques in image reconstruction applied to X-ray computed tomography by K. T. D. Yeung Download PDF EPUB FB2

X-ray Computed Tomography (CT) is a nondestructive technique for visualizing interior features within solid objects, and for obtaining digital information on their 3-D geometries and properties. A CT image is typically called a slice, as it corresponds to what the object being scanned would look like if it were sliced open along a plane.

X-Ray Computed Tomography in Biomedical Engineering 1 3. historical photographs related to the development of computed tomography techniques. A significant role was also played by Ms. Claire Protherough, on The z-Filtering Reconstruction Algorithm Discrete Implementation of the z-filtering.

X-ray computed tomography (XRCT) became the technique of choice to visualize microstructure of pharmaceutical granules. It is a nondestructive technique that assesses the three-dimensional distribution of density within the object. The principles and recent advances of the technique can be found in a recent review paper (Maire & Withers, ).In most instances, a sample is rotated or CT revolutionized the medical x-ray field with its unprecedented ability to visualize the anatomic structure of the body.

Figure shows a typical medical CT image. Computed tomography was originally introduced to the marketplace under the names Computed Axial Tomography and CAT scanner. These terms are now frowned upon in the medical field. Filtering in SPECT Image Reconstruction M a r i aL y r aa n dA g a p iP l o u s s i Department of Radiology, Radiation Physics Unit, University of Athens, 76, V as.

X-ray computed tomography (CT) is one of the approved technologies for screening checked airline baggage for explosive devices in the U.S. Explosives in cargo pose a similar threat as in luggage.

Performing research exploiting x-ray image reconstruction techniques obviously requires some preliminary knowledge—basic principles, requirements, challenges, etc.

The first part of this chapter should provide a starting point to further reading and becoming familiar with the concepts. X-ray absorption or radiography is a technique based on the same principle as X-ray tomography, but the attenuation of the beam emitted by the X-ray source is registered by sheets of film or an image-intensifier camera.

The registered images are recorded on a cine camera or a video recorder and transferred to a computer for processing and analysis. In this paper we will discuss the various filtering techniques for better reconstruction of object. Keywords: Computed Tomography, Sinogram, Sheep Logan Phantom, image reconstruction, filtered back projection, and image enhancement.

*** INTRODUCTION We begin by explaining the process of CT reconstruction, working of scanner, and the. The last chapter of the book is devoted to the techniques of using a fast analytical algorithm to reconstruct an image that is equivalent to an iterative reconstruction.

These techniques are the author’s most recent research results. This book is intended for students, engineers, and researchers who are interested in medical image reconstruction.5/5(2). Image Reconstruction Techniques. Lifeng Yu, PhD. Mayo Clinic, Rochester, MN.

Shuai Leng, PhD. Mayo Clinic, Rochester, MN (Updated Sept. ) Image reconstruction in CT is a mathematical process that generates tomographic images from X-ray projection data acquired at many different angles around the patient.

Image reconstruction has. Abstract. In this chapter, the physical and mathematical principles of X-ray computed tomography are summarised. First, the fundamentals of X-ray physics are covered, with details on generation, propagation and attenuation of X-rays, including a brief introduction to phase-contrast and dark-field by: 4.

1 Introduction. X-ray computed tomography (CT) has a revolutionary effect in fields ranging from nondestructive testing to medical applications. In medical imaging applications such as dedicated breast CT [] and cardiac-CT [], one common method to reduce the radiation risk is to narrow the collimation of X-ray beam to focus on particular lesion by: 5.

Advanced X-ray computed tomography methods: High resolution CT, quantitative CT, 4DCT and phase contrast CT Johann KASTNER1, Bernhard PLANK1 and Christoph HEINZL1 1University of Applied Sciences Upper Austria, Stelzhamerstra Wels, Austria Abstract During the last years, a number of novel X-ray imaging and data processing methods have been developed.

The need to observe roots in their natural undisturbed state within soil, both spatially and temporally, is a challenge that continues to occupy researchers studying the rhizosphere. This paper reviews how over the last 30 years the application of X-ray Computed Tomography (CT) has demonstrated considerable promise for root visualisation by:   Since its introduction in [1, 2], computed tomography (CT) has evolved into a highly successful and indispensable diagnostic success story of CT is reflected by the number of annual CT exams, which increased yearly with % over the last decade resulting in a total of 80 million CT scans in in the USA [].After this first tomographic imaging modality was introduced, its Cited by: Abstract: This paper describes a statistical image reconstruction method for X-ray computed tomography (CT) that is based on a physical model that accounts for the polyenergetic X-ray source spectrum and the measurement nonlinearities caused by energy-dependent attenuation.

We assume that the object consists of a given number of nonoverlapping materials, such as soft tissue and by: It covers the fundamentals of computerized tomography, including all the computational and mathematical procedures underlying data collection, image reconstruction and image display.

Among the new topics covered are: spiral CT, fully 3D positron emission tomography, the linogram mode of backprojection, and state of the art 3D imaging by:   X-ray computed tomography (CT) has a widespread application in clinical diagnosis and treatment. However, excessive dose may induce malignancy, leukemia and other hereditary diseases, which has become a public concern.

Therefore, reducing X-ray radiation, while maintaining clinically usable image quality, has become the vital target of modern : Jie Li, Wenkun Zhang, Ailong Cai, Linyuan Wang, Ningning Liang, Zhizhong Zheng, Lei Li, Bin Yan. X-ray Computed Tomography Advanced Lab Course No.

79 Abstract Computed tomography (CT) is a non-destructive X-ray imaging method, which allows to visualize three-dimensional X-ray absorption properties of an object.

In this lab course you will learn the basics about X-ray imaging and computed tomography using a simple CT setup. Next to. Statistical Image Reconstruction for Polyenergetic X-ray Computed Tomography Idris A. Elbakri and Jeffrey A.

Fessler, Senior Member, IEEE y IEEE T-MI, 21(2), Feb. ABSTRACT This paper describes a statistical image reconstruction method for X-ray CT that is based on a physical model that accounts for the polyenergetic X-ray source spectrum.

Browsing through sealed historical manuscripts by using 3-D computed tomography with low-brilliance X-ray sources of the book. Next, we applied an algorithm reconstruction techniques. Cited by: 1.Summary This chapter contains sections titled: Introduction to X‐Ray Imaging X‐Ray Generation X‐Ray Interaction with Matter X‐Ray Detection Electronics for X‐Ray Detection CT Imaging Principle CT S Author: Krzysztof Iniewski.