Literature DB >> 15972196

Automated quantitative volumetric breast ultrasound data-acquisition system.

J A Shipley1, F A Duck, D A Goddard, M R Hillman, M Halliwell, M G Jones, B T Thomas.   

Abstract

This paper describes the development and initial testing of an automated ultrasound imaging technique to acquire quantitative volumetric breast data; the clinical application being breast cancer diagnosis and management. A novel mechanical scanner has been designed and constructed to constrain the breast tissue without compromising the image, to acquire images of the majority of the breast using a conventional B-mode scanner and to maintain patient comfort. An algorithm to improve upon simple depth-dependent amplification by compensating for tissue-dependent attenuation is applied to the images, making the grey-scale values represent local scattering properties more closely. Registration techniques have been developed to correct for geometric errors arising in the data set because of tissue movement and variations in speed of sound in the tissues. The data sets are reconstructed into volumes and viewed interactively. A pilot study of seven patients was performed and selected results are presented to illustrate lesion features. The automated scan reduces operator-dependence, provides clear information on the 3-D tissue boundaries and provides a full record for monitoring or surgical planning.

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Year:  2005        PMID: 15972196     DOI: 10.1016/j.ultrasmedbio.2005.03.007

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  4 in total

1.  Three-dimensional sonographic study of breast nodules.

Authors:  T Abbattista; L Serri; P Busilacchi
Journal:  J Ultrasound       Date:  2007-06-07

2.  Effect of a gel retainment dam on automated ultrasound coverage in a dual-modality breast imaging system.

Authors:  Jie Li; Mitchell M Goodsitt; Frederic Padilla; J Brian Fowlkes; Fong Ming Hooi; Christine R Lashbrook; Kai E Thomenius; Paul L Carson
Journal:  J Ultrasound Med       Date:  2010-07       Impact factor: 2.153

3.  Detectability and Usefulness of Automated Whole Breast Ultrasound in Patients with Suspicious Microcalcifications on Mammography: Comparison with Handheld Breast Ultrasound.

Authors:  Jae Jeong Choi; Sung Hun Kim; Bong Joo Kang; Byung Joo Song
Journal:  J Breast Cancer       Date:  2016-12-23       Impact factor: 3.588

4.  Radiologists' performance for detecting lesions and the interobserver variability of automated whole breast ultrasound.

Authors:  Sung Hun Kim; Bong Joo Kang; Byung Gil Choi; Jae Jung Choi; Ji Hye Lee; Byung Joo Song; Byung Joo Choe; Sarah Park; Hyunbin Kim
Journal:  Korean J Radiol       Date:  2013-02-22       Impact factor: 3.500

  4 in total

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