Paper
24 February 2012 Novel ultrasound elastography system for multifocal breast cancer assessment
Author Affiliations +
Abstract
Elastography is a non-invasive imaging technique that images tissue stiffness. Given the well known association between tissue stiffness and cancer type, it can be used effectively for breast cancer detection and assessment. This study involves system development of a real-time ultrasound based elastography system designed for assessing multifocal breast cancer. This system is capable of imaging breast tissues absolute Young's Moduli. The imaging involves tissue mechanical stimulation, displacement and force data acquisition followed by Young's modulus reconstruction using a constrained full-inversion approach. This approach utilizes axial strain field and surface force data acquired by the elastography system via an iterative numerical process to construct the breast tissue Young's modulus. The strain field is obtained using an ultrasound machine equipped with an RF signal processing module. For force data acquisition, a system comprised of two load cells attached at the ultrasound system probe was employed. Each iteration of the reconstruction algorithm involves tissue stress calculation followed by tissue Young's modulus updating. To speed up the reconstruction process, a novel accelerated finite element method developed in our laboratory was used for stress calculation. To validate the proposed method, tissue-mimicking phantom studies were conducted. These studies showed promising results paving the way for further validation and application in a clinical setting.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shadi Shavakh, Aaron Fenster, and Abbas Samani "Novel ultrasound elastography system for multifocal breast cancer assessment", Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 83200Z (24 February 2012); https://doi.org/10.1117/12.911507
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Cited by 1 scholarly publication.
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KEYWORDS
Tissues

Breast cancer

Elastography

Breast

Data acquisition

Imaging systems

Natural surfaces

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