Literature DB >> 12894980

Why should breast tumour detection go three dimensional?

Zikuan Chen1, Ruola Ning.   

Abstract

Although x-ray mammography is widely developed for breast tumour detection, it suffers from spatial superposition in its two-dimensional (2D) representation of a three-dimensional (3D) breast structure. Accordingly, 3D breast imaging, such as cone-beam computed tomography (CT), arises at the historic moment. In this paper, we theoretically elucidate the spatial superposition effect associated with x-ray mammography on breast tumour detection. This explanation is based on the line integral of x-ray traversing a composite breast model. As a result, we can characterize the difficulty of detecting small tumours in terms of local intensity contrast in x-ray images. In comparison, we also introduce cone-beam CT breast imaging for 3D breast volume representation, which offers advantages for breast mass segmentation and measurement. The discussion is demonstrated with an experiment with a breast surgical specimen. In conclusion, we strongly believe that 3D volumetric representation allows for more accurate breast tumour detection.

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Mesh:

Year:  2003        PMID: 12894980     DOI: 10.1088/0031-9155/48/14/312

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


  10 in total

1.  Automated detection of mass lesions in dedicated breast CT: a preliminary study.

Authors:  I Reiser; R M Nishikawa; M L Giger; J M Boone; K K Lindfors; K Yang
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  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

3.  Noise power properties of a cone-beam CT system for breast cancer detection.

Authors:  Kai Yang; Alexander L C Kwan; Shih-Ying Huang; Nathan J Packard; John M Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  Computed tomography for imaging the breast.

Authors:  John M Boone; Alex L C Kwan; Kai Yang; George W Burkett; Karen K Lindfors; Thomas R Nelson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

Review 5.  Dedicated breast computed tomography: the optimal cross-sectional imaging solution?

Authors:  Karen K Lindfors; John M Boone; Mary S Newell; Carl J D'Orsi
Journal:  Radiol Clin North Am       Date:  2010-09       Impact factor: 2.303

6.  Breast density quantification with cone-beam CT: a post-mortem study.

Authors:  Travis Johnson; Huanjun Ding; Huy Q Le; Justin L Ducote; Sabee Molloi
Journal:  Phys Med Biol       Date:  2013-12-07       Impact factor: 3.609

7.  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

8.  An X-Ray computed tomography/positron emission tomography system designed specifically for breast imaging.

Authors:  John M Boone; Kai Yang; George W Burkett; Nathan J Packard; Shih-ying Huang; Spencer Bowen; Ramsey D Badawi; Karen K Lindfors
Journal:  Technol Cancer Res Treat       Date:  2010-02

9.  Validation of a power-law noise model for simulating small-scale breast tissue.

Authors:  I Reiser; A Edwards; R M Nishikawa
Journal:  Phys Med Biol       Date:  2013-08-12       Impact factor: 3.609

Review 10.  Dedicated breast CT: state of the art-Part I. Historical evolution and technical aspects.

Authors:  Yueqiang Zhu; Avice M O'Connell; Yue Ma; Aidi Liu; Haijie Li; Yuwei Zhang; Xiaohua Zhang; Zhaoxiang Ye
Journal:  Eur Radiol       Date:  2021-08-03       Impact factor: 7.034

  10 in total

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