Yunhao Zhu

Mr. Yunhao Zhu


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 April 2020 in Sensors
Verified
Journal Article
Open access
PDF file
YZYunhao Zhu
Yunhao Zhu
TFTing Feng
Ting Feng
QIAN CHENGQIAN CHENG
QIAN CHENG
Xueding WangXueding Wang
Xueding Wang
SDSidan Du
Sidan Du
Mithun Kuniyil Ajith SinghMithun Kuniyil Ajith Singh
Mithun Kuniyil Ajith Singh
Photoacoustic imaging, with the capability to provide simultaneous structural, functional, and molecular information, is one of the fastest growing biomedical imaging modalities of recent times. As a hybrid modality, it not only provides greater penetration depth than the purely optical imaging techniques, but also provides optical contrast of molecular components in the living tissue. Conventionally, photoacoustic imaging systems utilize bulky and expensive class IV lasers, which is one of the key factors hindering the clinical translation of this promising modality. Use of LEDs which are portable and affordable offers a unique opportunity to accelerate the clinical translation of photoacoustics. In this paper, we first review the development history of LED as an illumination source in biomedical photoacoustic imaging. Key developments in this area, from point-source measurements to development of high-power LED arrays, are briefly discussed. Finally, we thoroughly review multiple phantom, ex-vivo, animal in-vivo, human in-vivo, and clinical pilot studies and demonstrate the unprecedented preclinical and clinical potential of LED-based photoacoustic imaging.

22 December 2020 in Applied Sciences
Verified
Journal Article
Open access
PDF file
TFTing Feng
Ting Feng
YZYunhao Zhu
Yunhao Zhu
CLChengcheng Liu
Chengcheng Liu
SDSidan Du
Sidan Du
Dean TaDean Ta
Dean Ta
JYJie Yuan
Jie Yuan
Photoacoustic (PA) techniques provide optical absorption contrast and spatial information at an ultrasound resolution in deep biological tissues. Among the greatest challenges encountered in the PA examination of bone is the analysis of trabecular bone, which holds key chemical and physical information required for bone health assessments. Ultrasound detection is naturally registered with PA detection; therefore, in this study, we propose ultrasound guidance for the PA detection of trabecular bone. We perform both numerical simulations and an in vivo experiment on a human subject to investigate the possibility of ultrasound-guided detection and segmentation of photoacoustic signals from bone tissue in vivo in a non-invasive manner. The results obtained from the simulation and in vivo experiment suggest that the ultrasound-guided PA method can distinguish PA signals from trabecular and cortical bones as well as from the overlying soft tissue. Considering that the PA technique is non-ionizing and non-invasive, it holds potential for clinical bone health assessment.

19 November 2020 in Applied Sciences
Verified
Journal Article
Open access
PDF file
TFTing Feng
Ting Feng
YZYunhao Zhu
Yunhao Zhu
KKKenneth M. Kozloff
Kenneth M. Kozloff
BKBasma Khoury
Basma Khoury
YXYejing Xie
Yejing Xie
QIAN CHENGQIAN CHENG
QIAN CHENG
In this study, the feasibility of assessing the chemical composition in bone using the multi-wavelength photoacoustic analysis (MWPA) method was investigated. By illuminating a bone specimen using laser light with a wavelength tunable over an optical spectrum from 680 nm to 950 nm, the optical absorption spectrum of the bone was acquired. Then, with the optical absorption spectra of all the optically absorbing chemical components in the bone known, a spectral unmixing procedure was performed to quantitatively assess the relative content of each chemical component. The experimental results from porcine rib bones demonstrated that the contents of the chemical components, including not only non-organic materials such as minerals and water but also organic materials including oxygenated hemoglobin, deoxygenated hemoglobin, lipid, and collagen, can all be assessed by MWPA. As the chemical composition in the bone is directly associated with functional and metabolic activities, the finding from this study suggests that the MWPA method could offer a new diagnostic tool for the non-invasive evaluation of bone health.