Feasibility of Swept Synthetic Aperture Ultrasound Imaging.
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2016-07
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Ultrasound image quality is often inherently limited by the physical dimensions of the imaging transducer. We hypothesize that, by collecting synthetic aperture data sets over a range of aperture positions while precisely tracking the position and orientation of the transducer, we can synthesize large effective apertures to produce images with improved resolution and target detectability. We analyze the two largest limiting factors for coherent signal summation: aberration and mechanical uncertainty. Using an excised canine abdominal wall as a model phase screen, we experimentally observed an effective arrival time error ranging from 18.3 ns to 58 ns (root-mean-square error) across the swept positions. Through this clutter-generating tissue, we observed a 72.9% improvement in resolution with only a 3.75 dB increase in side lobe amplitude compared to the control case. We present a simulation model to study the effect of calibration and mechanical jitter errors on the synthesized point spread function. The relative effects of these errors in each imaging dimension are explored, showing the importance of orientation relative to the point spread function. We present a prototype device for performing swept synthetic aperture imaging using a conventional 1-D array transducer and ultrasound research scanner. Point target reconstruction error for a 44.2 degree sweep shows a reconstruction precision of 82.8 μm and 17.8 μm in the lateral and axial dimensions respectively, within the acceptable performance bounds of the simulation model. Improvements in resolution, contrast and contrast-to-noise ratio are demonstrated in vivo and in a fetal phantom.
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Bottenus, Nick, Will Long, Haichong K Zhang, Marko Jakovljevic, David P Bradway, Emad M Boctor and Gregg E Trahey (2016). Feasibility of Swept Synthetic Aperture Ultrasound Imaging. IEEE Trans Med Imaging, 35(7). pp. 1676–1685. 10.1109/TMI.2016.2524992 Retrieved from https://hdl.handle.net/10161/13736.
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David Bradway
David P. Bradway is a research scientist in the Biomedical Engineering Department at Duke University. He earned his Ph.D. in biomedical engineering in 2013 from Duke. Afterward, he was a guest postdoc at the Technical University of Denmark (DTU), supported by a Whitaker International Program Scholarship. He has conducted research internships at the Cleveland Clinic Foundation, Volcano Corporation, and Siemens Healthcare, working on ultrasound research since 2002.
Gregg E. Trahey
My laboratory develops and evaluates novel ultrasonic imaging methods. Current projects involve high resolutioon imaging of the breast and mechanical characterization of the breast and cardiovascular system. We conduct phantom, animal, ex vivo and in vivo trials. Current clinical trials involve imaging of soft and hard vascular plaques and mecahnical imaging of breast lesions.
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