Photoacoustic tomography reconstruction using lag-based delay multiply and sum with coherence factor improves in vivo ovarian cancer diagnosis

Guang Yang; Eghbal Amidi; Quing Zhu

doi:10.1117/12.2576803

5 March 2021 Photoacoustic tomography reconstruction using lag-based delay multiply and sum with coherence factor improves in vivo ovarian cancer diagnosis

Guang Yang, Eghbal Amidi, Quing Zhu

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Proceedings Volume 11642, Photons Plus Ultrasound: Imaging and Sensing 2021; 116421H (2021) https://doi.org/10.1117/12.2576803
Event: SPIE BiOS, 2021, Online Only

Abstract

Among women, ovarian cancer is fifth most common cause of death due to cancer. In clinical ovarian cancer diagnosis via photoacoustic tomography, we face several challenges such as poor image resolution and signal-to-noise ratio (SNR). To address these concerns, we proposed a novel beamformer named lag-based delay multiply and sum combined with coherent factor (DMAS_LAG_CF). The simulations, phantom experiments and ovarian cancer patient data have demonstrated that compared with the delay and sum algorithm (DAS), the new algorithm can achieve better resolution, SNR, and improved hemoglobin contrast of malignant vs. benign ovarian lesions.

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Guang Yang, Eghbal Amidi, and Quing Zhu "Photoacoustic tomography reconstruction using lag-based delay multiply and sum with coherence factor improves in vivo ovarian cancer diagnosis", Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116421H (5 March 2021); https://doi.org/10.1117/12.2576803

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KEYWORDS

Ovarian cancer

Photoacoustic tomography

Signal to noise ratio

In vivo imaging

Acquisition tracking and pointing

Cancer

Computer simulations

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