Literature DB >> 15984689

Development of ultrasound tomography for breast imaging: technical assessment.

Nebojsa Duric1, Peter Littrup, Alex Babkin, David Chambers, Stephen Azevedo, Roman Pevzner, Mikhail Tokarev, Earle Holsapple, Olsi Rama, Robert Duncan.   

Abstract

Ultrasound imaging is widely used in medicine because of its benign characteristics and real-time capabilities. Physics theory suggests that the application of tomographic techniques may allow ultrasound imaging to reach its full potential as a diagnostic tool allowing it to compete with other tomographic modalities such as x-ray computer tomography, and MRI. This paper describes the construction and use of a prototype tomographic scanner and reports on the feasibility of implementing tomographic theory in practice and the potential of ultrasound (US) tomography in diagnostic imaging. Data were collected with the prototype by scanning two types of phantoms and a cadaveric breast. A specialized suite of algorithms was developed and utilized to construct images of reflectivity and sound speed from the phantom data. The basic results can be summarized as follows. (i) A fast, clinically relevant US tomography scanner can be built using existing technology. (ii) The spatial resolution, deduced from images of reflectivity, is 0.4 mm. The demonstrated 10 cm depth-of-field is superior to that of conventional ultrasound and the image contrast is improved through the reduction of speckle noise and overall lowering of the noise floor. (iii) Images of acoustic properties such as sound speed suggest that it is possible to measure variations in the sound speed of 5 m/s. An apparent correlation with x-ray attenuation suggests that the sound speed can be used to discriminate between various types of soft tissue. (iv) Ultrasound tomography has the potential to improve diagnostic imaging in relation to breast cancer detection.

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Year:  2005        PMID: 15984689     DOI: 10.1118/1.1897463

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  30 in total

1.  Refraction corrected transmission ultrasound computed tomography for application in breast imaging.

Authors:  Shengying Li; Marcel Jackowski; Donald P Dione; Trond Varslot; Lawrence H Staib; Klaus Mueller
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

2.  Scattering calculation and image reconstruction using elevation-focused beams.

Authors:  David P Duncan; Jeffrey P Astheimer; Robert C Waag
Journal:  J Acoust Soc Am       Date:  2009-05       Impact factor: 1.840

3.  An improved automatic time-of-flight picker for medical ultrasound tomography.

Authors:  Cuiping Li; Lianjie Huang; Nebojsa Duric; Haijiang Zhang; Charlotte Rowe
Journal:  Ultrasonics       Date:  2008-06-07       Impact factor: 2.890

4.  Shape-based ultrasound tomography using a Born model with application to high intensity focused ultrasound therapy.

Authors:  Başak Ulker Karbeyaz; Eric L Miller; Robin O Cleveland
Journal:  J Acoust Soc Am       Date:  2008-05       Impact factor: 1.840

5.  Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience.

Authors:  Yuji Ikedo; Takako Morita; Daisuke Fukuoka; Takeshi Hara; Gobert Lee; Hiroshi Fujita; Etsuo Takada; Tokiko Endo
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-03-14       Impact factor: 2.924

6.  Modification of Kirchhoff migration with variable sound speed and attenuation for acoustic imaging of media and application to tomographic imaging of the breast.

Authors:  Steven Schmidt; Nebojsa Duric; Cuiping Li; Olivier Roy; Zhi-Feng Huang
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

7.  Self-characterization of commercial ultrasound probes in transmission acoustic inverse scattering: transducer model and volume integral formulation.

Authors:  Mark Haynes; Sacha A M Verweij; Mahta Moghaddam; Paul L Carson
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2014-03       Impact factor: 2.725

8.  Using ultrasound tomography to identify the distributions of density throughout the breast.

Authors:  Mark Sak; Neb Duric; Peter Littrup; Mark E Sherman; Gretchen L Gierach
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-04

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.  Using Speed of Sound Imaging to Characterize Breast Density.

Authors:  Mark Sak; Neb Duric; Peter Littrup; Lisa Bey-Knight; Haythem Ali; Patricia Vallieres; Mark E Sherman; Gretchen L Gierach
Journal:  Ultrasound Med Biol       Date:  2016-09-29       Impact factor: 2.998

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