Dr. Kathryn R. Nightingale Profile

Dr. Kathryn R. Nightingale

at Duke Univ

SPIE Involvement:

Author

Proceedings Article | 12 March 2007 Open Access

Radiation force imaging: challenges and opportunities

Gregg Trahey, Mark Palmeri, Kathryn Nightingale, Jeremy Dahl

Proceedings Volume 6513, 65130E (2007) https://doi.org/10.1117/12.719470

KEYWORDS: Tissues, Acoustics, Transducers, Wave propagation, Ultrasonography, Diagnostics, Ultrasonics, Signal to noise ratio, Imaging systems, Finite element methods

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Proceedings Article | 12 April 2005 Paper

Image processing and data acquisition optimization for acoustic radiation force impulse imaging of in vivo breast masses

Amy Sharma, Gregg Trahey, Kristin Frinkley, Mary Scott Soo, Mark Palmeri, Kathryn Nightingale

Proceedings Volume 5750, (2005) https://doi.org/10.1117/12.593473

KEYWORDS: Tissues, In vivo imaging, Acoustics, Breast, Data acquisition, Edge detection, Image quality, Algorithm development, Transducers, Image processing

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Acoustic Radiation Force Impulse (ARFI) imaging utilizes brief, high-energy acoustic pulses to excite tissue and ultrasonic correlation based tracking methods to monitor the resulting tissue displacement, which reflects the relative mechanical properties of tissue (i.e. stiffer tissue displaces less). ARFI image contrast is optimized utilizing tightly focused radiation force excitations at multiple axial and lateral locations throughout a 2D field of view. In an ongoing, IRB approved, clinical study, suspicious breast lesions are interrogated in vivo via multi-focal-zone ARFI prior to undergoing core biopsy. A Siemens SONOLINE Antares (TM) scanner and VF10-5 probe were configured to acquire ARFI data from multiple focal-zones and lateral locations. Data was acquired in real-time, and processed off-line. Processing included: filtering, parametric data analysis, normalization and combination of the multiple focal-zone data, and automatic edge detection. ARFI sequences were designed with varying pushing pulse frequencies and intensities. Contrast to noise ratio was evaluated in a tissue mimicking phantom for lesions at different depths using the different pushing pulse sequences. For shallower lesions (depth=10mm), CNR was higher than for deeper lesions, and did not vary appreciably for the different push sequences. For deeper lesions (depth=20mm), CNR increased with increasing push pulse intensity and decreasing push pulse frequency. With the pushing pulse transmit intensity calibrated (in a homogeneous phantom) to achieve uniform displacement at all axial depths, in vivo results yielded poor SNR at depth and did not achieve overall uniform displacement. In vivo, image quality improved with increasing push pulse intensity. To date, 27 masses have been interrogated using multi-focal-zone ARFI and overall good structural agreement exists between B-mode and ARFI images. Normalization and blending facilitate image generation from ARFI interrogation using different intensities at different focal depths.

Proceedings Article | 12 April 2005 Paper

Real-time acoustic radiation force impulse imaging

Gianmarco Pinton, Stephen McAleavey, Jeremy Dahl, Kathryn Nightingale, Gregg Trahey

Proceedings Volume 5750, (2005) https://doi.org/10.1117/12.595846

KEYWORDS: Phase shifts, Signal to noise ratio, Tissues, Demodulation, Acoustics, Image processing, Transducers, Correlation function, Image filtering, Liver

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