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3D electron density imaging using si...

Van Uytven, Eric Peter.

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3D electron density imaging using single scattered x rays with application to breast CT and mammographic screening.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	3D electron density imaging using single scattered x rays with application to breast CT and mammographic screening./
Author:	Van Uytven, Eric Peter.
Description:	192 p.
Notes:	Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2426.
Contained By:	Dissertation Abstracts International68-04B.
Subject:	Physics, Radiation. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR26315
ISBN:	9780494263150

3D electron density imaging using single scattered x rays with application to breast CT and mammographic screening.
Van Uytven, Eric Peter.

3D electron density imaging using single scattered x rays with application to breast CT and mammographic screening. - 192 p.

Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2426.

Thesis (Ph.D.)--University of Manitoba (Canada), 2007.

Screening mammography is the current standard in detecting breast cancer. However, its fundamental disadvantage is that it projects a 3D object into a 2D image. Small lesions are difficult to detect when superimposed over layers of normal tissue. Commercial Computed Tomography (CT) produces a true 3D image yet has a limited role in mammography due to relatively low resolution and contrast.

ISBN: 9780494263150Subjects--Topical Terms:

1019212
Physics, Radiation.

3D electron density imaging using single scattered x rays with application to breast CT and mammographic screening.
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020 $a 9780494263150
035 $a (UMI)AAINR26315
035 $a AAINR26315
040 $a UMI $c UMI
100 1 $a Van Uytven, Eric Peter. $3 1271395
245 1 0 $a 3D electron density imaging using single scattered x rays with application to breast CT and mammographic screening.
300 $a 192 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2426.
502 $a Thesis (Ph.D.)--University of Manitoba (Canada), 2007.
520 $a Screening mammography is the current standard in detecting breast cancer. However, its fundamental disadvantage is that it projects a 3D object into a 2D image. Small lesions are difficult to detect when superimposed over layers of normal tissue. Commercial Computed Tomography (CT) produces a true 3D image yet has a limited role in mammography due to relatively low resolution and contrast.
520 $a With the intent of enhancing mammography and breast CT, we have developed an algorithm which can produce 3D electron density images using a single projection. Imaging an object with x rays produces a characteristic scattered photon spectrum at the detector plane. A known incident beam spectrum, beam shape, and arbitrary 3D matrix of electron density values enable a theoretical scattered photon distribution to be calculated. An iterative minimization algorithm is used to make changes to the electron density voxel matrix to reduce regular differences between the theoretical and the experimentally measured distributions. The object is characterized by the converged electron density image.
520 $a This technique has been validated in simulation using data produced by the EGSnrc Monte Carlo code system. At both mammographic and CT energies, a scanning polychromatic pencil beam was used to image breast tissue phantoms containing lesion-like inhomogeneities. The resulting Monte Carlo data is processed using a Nelder-Mead iterative algorithm (MATLAB) to produce the 3D matrix of electron density values. Resulting images have confirmed the ability of the algorithm to detect various 1x1x2.5 mm3 lesions with calcification content as low as 0.5% (p<0.005) at a dose comparable to mammography.
590 $a School code: 0303.
650 4 $a Physics, Radiation. $3 1019212
690 $a 0756
710 2 $a University of Manitoba (Canada). $3 1018707
773 0 $t Dissertation Abstracts International $g 68-04B.
790 $a 0303
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR26315