Literature DB >> 20082528

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

John M Boone1, Kai Yang, George W Burkett, Nathan J Packard, Shih-ying Huang, Spencer Bowen, Ramsey D Badawi, Karen K Lindfors.   

Abstract

Mammography has served the population of women who are at-risk for breast cancer well over the past 30 years. While mammography has undergone a number of changes as digital detector technology has advanced, other modalities such as computed tomography have experienced technological sophistication over this same time frame as well. The advent of large field of view flat panel detector systems enable the development of breast CT and several other niche CT applications, which rely on cone beam geometry. The breast, it turns out, is well suited to cone beam CT imaging because the lack of bones reduces artifacts, and the natural tapering of the breast anteriorly reduces the x-ray path lengths through the breast at large cone angle, reducing cone beam artifacts as well. We are in the process of designing a third prototype system which will enable the use of breast CT for image guided interventional procedures. This system will have several copies fabricated so that several breast CT scanners can be used in a multi-institutional clinical trial to better understand the role that this technology can bring to breast imaging.

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Year:  2010        PMID: 20082528      PMCID: PMC3051345          DOI: 10.1177/153303461000900104

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  35 in total

1.  Glandular breast dose for monoenergetic and high-energy X-ray beams: Monte Carlo assessment.

Authors:  J M Boone
Journal:  Radiology       Date:  1999-10       Impact factor: 11.105

2.  Computer modeling of the spatial resolution properties of a dedicated breast CT system.

Authors:  Kai Yang; Alexander L C Kwan; John M Boone
Journal:  Med Phys       Date:  2007-06       Impact factor: 4.071

3.  Breast MRI and 18F FDG PET/CT in the management of breast cancer.

Authors:  Andrei Iagaru; Rinat Masamed; Sravanthi Keesara; Peter S Conti
Journal:  Ann Nucl Med       Date:  2007-01       Impact factor: 2.668

4.  Cone-beam volume CT breast imaging: feasibility study.

Authors:  Biao Chen; Ruola Ning
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

5.  Breast imaging with positron emission tomography and fluorine-18 fluorodeoxyglucose: use and limitations.

Authors:  N Avril; C A Rosé; M Schelling; J Dose; W Kuhn; S Bense; W Weber; S Ziegler; H Graeff; M Schwaiger
Journal:  J Clin Oncol       Date:  2000-10-15       Impact factor: 44.544

6.  Initial characterization of a dedicated breast PET/CT scanner during human imaging.

Authors:  Spencer L Bowen; Yibao Wu; Abhijit J Chaudhari; Lin Fu; Nathan J Packard; George W Burkett; Kai Yang; Karen K Lindfors; David K Shelton; Rosalie Hagge; Alexander D Borowsky; Steve R Martinez; Jinyi Qi; John M Boone; Simon R Cherry; Ramsey D Badawi
Journal:  J Nucl Med       Date:  2009-08-18       Impact factor: 10.057

7.  PET characteristics of a dedicated breast PET/CT scanner prototype.

Authors:  Yibao Wu; Spencer L Bowen; Kai Yang; Nathan Packard; Lin Fu; George Burkett; Jinyi Qi; John M Boone; Simon R Cherry; Ramsey D Badawi
Journal:  Phys Med Biol       Date:  2009-06-17       Impact factor: 3.609

8.  Rethinking screening for breast cancer and prostate cancer.

Authors:  Laura Esserman; Yiwey Shieh; Ian Thompson
Journal:  JAMA       Date:  2009-10-21       Impact factor: 56.272

9.  Characterizing anatomical variability in breast CT images.

Authors:  Kathrine G Metheany; Craig K Abbey; Nathan Packard; John M Boone
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

Review 10.  Breast CT.

Authors:  Stephen J Glick
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

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  9 in total

1.  MORPHOMETRY FOR EARLY MONITORING OF TREATMENT RESPONSE IN RHEUMATOID ARTHRITIS.

Authors:  Anand A Joshi; Richard M Leahy; Ramsey D Badawi; Abhijit J Chaudhari
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2013

2.  Quantification with a dedicated breast PET/CT scanner.

Authors:  Spencer L Bowen; Andrea Ferrero; Ramsey D Badawi
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

3.  Radiation doses in cone-beam breast computed tomography: a Monte Carlo simulation study.

Authors:  Ying Yi; Chao-Jen Lai; Tao Han; Yuncheng Zhong; Youtao Shen; Xinming Liu; Shuaiping Ge; Zhicheng You; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

4.  Differentiation of ductal carcinoma in-situ from benign micro-calcifications by dedicated breast computed tomography.

Authors:  Shadi Aminololama-Shakeri; Craig K Abbey; Peymon Gazi; Nicolas D Prionas; Anita Nosratieh; Chin-Shang Li; John M Boone; Karen K Lindfors
Journal:  Eur J Radiol       Date:  2015-10-01       Impact factor: 3.528

5.  Preliminary performance characterization of DbPET2.1, a PET scanner dedicated to the imaging of the breast and extremities.

Authors:  Andrea Ferrero; Qiyu Peng; George W Burkett; Buddika Sumanasena; William W Moses; Ramsey D Badawi
Journal:  Biomed Phys Eng Express       Date:  2015-06-09

6.  Conspicuity of suspicious breast lesions on contrast enhanced breast CT compared to digital breast tomosynthesis and mammography.

Authors:  Shadi Aminololama-Shakeri; Craig K Abbey; Javier E López; Andrew M Hernandez; Peymon Gazi; John M Boone; Karen K Lindfors
Journal:  Br J Radiol       Date:  2019-04-03       Impact factor: 3.039

Review 7.  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

8.  Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imaging.

Authors:  Marco Caballo; Domenico R Pangallo; Wendelien Sanderink; Andrew M Hernandez; Su Hyun Lyu; Filippo Molinari; John M Boone; Ritse M Mann; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2020-12-10       Impact factor: 4.071

9.  Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features.

Authors:  Marco Caballo; Andrew M Hernandez; Su Hyun Lyu; Jonas Teuwen; Ritse M Mann; Bram van Ginneken; John M Boone; Ioannis Sechopoulos
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-29
  9 in total

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