2011
DOI: 10.1016/j.nima.2011.05.064
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Monte Carlo design of optimal wire mesh collimator for breast tumor imaging process

Abstract: This paper presents the modeling of breast tumor imaging process using wire mesh collimator gamma camera. Previous studies showed that the wire mesh collimator has a potential to improve the sensitivity of the tumor detection. In this paper, we extend our research significantly, to find an optimal configuration of the wire mesh collimator specifically for semi-compressed breast tumor detection, by looking into four major factors: weight, sensitivity, spatial resolution and tumor contrast. The numbers of layers… Show more

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Cited by 14 publications
(9 citation statements)
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“…The newly proposed multilayer collimator in high-resolution mode is similar to the wire-mesh collimator. As a result, this study is consistent with previous reports [7][8][9][10][11][12].…”
Section: Discussionsupporting
confidence: 94%
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“…The newly proposed multilayer collimator in high-resolution mode is similar to the wire-mesh collimator. As a result, this study is consistent with previous reports [7][8][9][10][11][12].…”
Section: Discussionsupporting
confidence: 94%
“…It is made from a series of wire grids [7][8][9][10][11][12]. Generally, a conventional collimator is overspecified in terms of its path length in the material composing the collimator [8].…”
Section: Discussionmentioning
confidence: 99%
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“…This study is extension works that have been published in [6][7][8][9][10][11]. Previously, simulations have been done to determine the spatial resolution when a point source locates at various distances above the wire mesh collimator's top surface.…”
Section: [Ntroductionmentioning
confidence: 92%
“…We previously presented a report on the validation of this MCNP5 code and also algorithm developed in this study (Musarudin et al, 2013). In addition, MCNP5 code also had been used previously for single photon emission computed tomography and gamma camera modeling (Alnafea et al, 2006;Saripan et al, 2007Saripan et al, , 2009Saad et al, 2011;Roslan et al, 2010).…”
Section: Image Reconstructionmentioning
confidence: 99%