Literature DB >> 15248571

Microcalcification detection using cone-beam CT mammography with a flat-panel imager.

Xing Gong1, Aruna A Vedula, Stephen J Glick.   

Abstract

The purpose of this study was to investigate microcalcification detectability using CT mammography with a flat-panel imager. To achieve this, a computer simulation was developed to model an amorphous-silicon, CsI based flat-panel imager system using a linear cascaded model. The breast was modelled as a hemi-ellipsoid shape with composition of 50% adipose and 50% glandular tissue. Microcalcifications were modelled as small spheres having a composition of calcium carbonate. The results show that with a mean glandular dose equivalent to that typically used in two-view screening mammography, CT mammography with a flat-panel detector is capable of providing images where most microcalcifications are detectable. A receiver operating characteristic (ROC) study was conducted by five physicist observers viewing simulated CT mammography reconstructions. The results suggest that the microcalcification with its diameter equal to or greater than 0.175 mm can be detected with an average area under the ROC curve (AUC) greater than 0.95 using 0.1 or 0.2 mm pixelized detectors. The results also indicate that the optimal pixel size of the detector is around 0.2 mm for microcalcification detection, based on the trade-off between detectability of microcalcifications and the time required for data acquisition and reconstruction.

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Year:  2004        PMID: 15248571     DOI: 10.1088/0031-9155/49/11/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  30 in total

1.  High resolution dual detector volume-of-interest cone beam breast CT--Demonstration with a bench top system.

Authors:  Youtao Shen; Ying Yi; Yuncheng Zhong; Chao-Jen Lai; Xinming Liu; Zhicheng You; Shuaiping Ge; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  A general method for cupping artifact correction of cone-beam breast computed tomography images.

Authors:  Xiaolei Qu; Chao-Jen Lai; Yuncheng Zhong; Ying Yi; Chris C Shaw
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-10-29       Impact factor: 2.924

3.  Flat-panel versus 64-channel computed tomography for in vivo quantitative characterization of aortic atherosclerotic plaques.

Authors:  Ibrahim Aboshady; Dianna D Cody; Evan M Johnson; Amir Gahremanpour; Deborah Vela; Kamal G Khalil; Herbert L Dupont; James T Willerson; L Maximilian Buja; Gregory W Gladish
Journal:  Int J Cardiol       Date:  2010-12-24       Impact factor: 4.164

4.  A post-reconstruction method to correct cupping artifacts in cone beam breast computed tomography.

Authors:  M C Altunbas; C C Shaw; L Chen; C Lai; X Liu; T Han; T Wang
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

5.  Visibility of microcalcification in cone beam breast CT: effects of X-ray tube voltage and radiation dose.

Authors:  Chao-Jen Lai; Chris C Shaw; Lingyun Chen; Mustafa C Altunbas; Xinming Liu; Tao Han; Tianpeng Wang; Wei T Yang; Gary J Whitman; Shu-Ju Tu
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

6.  Monte Carlo and phantom study of the radiation dose to the body from dedicated CT of the breast.

Authors:  Ioannis Sechopoulos; Srinivasan Vedantham; Sankararaman Suryanarayanan; Carl J D'Orsi; Andrew Karellas
Journal:  Radiology       Date:  2008-02-21       Impact factor: 11.105

7.  Cone beam breast CT with a high pitch (75 μm), thick (500 μm) scintillator CMOS flat panel detector: visibility of simulated microcalcifications.

Authors:  Youtao Shen; Yuncheng Zhong; Chao-Jen Lai; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2013-10       Impact factor: 4.071

8.  Penalized-Likelihood Reconstruction With High-Fidelity Measurement Models for High-Resolution Cone-Beam Imaging.

Authors:  Steven Tilley; Matthew Jacobson; Qian Cao; Michael Brehler; Alejandro Sisniega; Wojciech Zbijewski; J Webster Stayman
Journal:  IEEE Trans Med Imaging       Date:  2018-04       Impact factor: 10.048

Review 9.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

10.  Dedicated breast computed tomography: volume image denoising via a partial-diffusion equation based technique.

Authors:  Jessie Q Xia; Joseph Y Lo; Kai Yang; Carey E Floyd; John M Boone
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

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