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Nabavizadeh, Alireza

https://orcid.org/0000-0002-5188-8025

Mayo Clinic

Mayo Clinic

Citations 4

Automated Compression Device for Viscoelasticity Imaging
Nabavizadeh, Alireza , Kinnick, Randall R., Bayat, Mahdi , Amador, Carolina , Fatemi, Mostafa , Urban, Matthew W. , Alizad, Azra , Fatemi, Mostafa

IEEE Transactions on Biomedical Engineering | September 22, 2016 | Volume: 64 | Issue: 7 | Pages: 1535-1546

10.1109/tbme.2016.2612541 Get It

Differentiation of breast lesions based on viscoelasticity response at sub-Hertz frequencies
Nabavizadeh, Alireza , Gregory, Adriana , Bayat, Mahdi , Kumar, Viksit , Alizad, Azra , Fatemi, Mostafa

Journal of the Acoustical Society of America | May 6, 2016 | Volume: 139 | Issue: 4_Supplement | Pages: 2028-2028

10.1121/1.4949985 Get It

There is an urgent need for a noninvasive but more accurate method to assess breast masses before referring the patient to biopsy. In this study, we use the slow viscoelastic creep response to evaluate breast masses at low (<1 Hz) frequencies. This method uses an automated ramp-and-hold compression device and a high-frame-rate ultrasound imaging to track tissue strain. The study cohort included 30 pre-biopsy patients with suspicious masses. Sequential high-frame-rate images were recorded during the ramp-and-hold process. The data were used to calculate the creep response at each point. Then, using a classic linear model, the retardation-time map was created within the field of view. The resulting retardation-time maps exhibited clear distinction of the mass margins. The results showed that benign breast lesions appear with an increase in creep retardation-time compared to surrounding breast glandular tissue, and the opposite trend was true for the malignant lesions. Statistical analysis of the viscoelasticity features revealed that a contrast feature based on the retardation-time is an accurate classifier of malignant and benign masses (P<0.0003). It is concluded that the retardation time is a promising biomarker for differentiation of breast masses. [Work supported by NIH Grant CA168575.]
Shear wave generation using hybrid beamforming methods
Nabavizadeh, Alireza , Greenleaf, James F. , Fatemi, Mostafa , Urban, Matthew W.

The Journal of the Acoustical Society of America | September 24, 2012 | Volume: 132 | Issue: 3_Supplement | Pages: 1982-1982

10.1121/1.4755312 Get It

Elasticity imaging is a medical imaging modality that measures tissue elasticity to aid in diagnosis of certain diseases. Shear wave-based methods have been developed to perform elasticity measurements in soft tissue. Hybrid beamforming applies both the conventional spherical and axicon focusing to produce a beam for generating a shear wave with increased depth-of-field so that measurements can be made with a plane-like shear wave. We present our aperture design and beam optimization performed using Field II simulations. We varied the number of elements devoted to spherical and axicon focusing as well as the opening angle used for axicon focusing. We tested hybrid beamforming in three elastic phantoms and an excised kidney. We evaluated the shear wave speed measurements accuracy in the phantoms as well as the depth-of-field for each hybrid beam. We compared our results with those from using beams generated using spherical and axicon focusing. Our results show that hybrid beamforming is capable of producing a long narrow beam that performs well when among the 128 elements of transducer, 48 elements are allocated to each axicon portion and 32 elements for spherical aperture while the angle of the axicon aperture is set less than 20.
Vibro-acoustic doppler
Nabavizadeh, Alireza , Urban, Matthew W. , Fatemi, Mostafa , Urban, Matthew W

The Journal of the Acoustical Society of America | October 13, 2011 | Volume: 130 | Issue: 4_Supplement | Pages: 2423-2423

10.1121/1.3654706 Get It

This paper describes the principles and initial experimental results of a new Doppler method called vibro-acoustic Doppler (VAD). VAD uses acoustic response of a moving object to a highly localized dynamic radiation force of ultrasound to measure the velocity of the object. The low frequency radiation force is exerted by two co-focused ultrasound beams with slightly different frequencies. The acoustic response of the object is detected by a hydrophone. A formula that describes the relation between the Doppler frequency shift of the emitted acoustic field and the velocity of the moving object is reported. To verify the theory, experiments are conducted on a moving string and a fluid flow phantom. Results show that the error in velocity measurement is less than 9.1% for either phantom. An advantage of this method over the traditional ultrasound Doppler is that velocity measurement with VAD is almost independent of the angle between the ultrasound beam and motion direction. It is shows that in the worst case, the error is 10.3% for a ±30 deg angle variation. Potential biomedical applications of VAD will be discussed.