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Dive into the research topics where Peitian Mu is active.

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Featured researches published by Peitian Mu.


IEEE Transactions on Medical Imaging | 2017

Development of a Mechanical Scanning Device With High-Frequency Ultrasound Transducer for Ultrasonic Capsule Endoscopy

Xingying Wang; Vipin Seetohul; Ruimin Chen; Zhiqiang Zhang; Ming Qian; Zhehao Shi; Ge Yang; Peitian Mu; Congzhi Wang; Zhihong Huang; Qifa Zhou; S. Cochran; Weibao Qiu

Wireless capsule endoscopy has opened a new era by enabling remote diagnostic assessment of the gastrointestinal tract in a painless procedure. Video capsule endoscopy is currently commercially available worldwide. However, it is limited to visualization of superficial tissue. Ultrasound (US) imaging is a complementary solution as it is capable of acquiring transmural information from the tissue wall. This paper presents a mechanical scanning device incorporating a high-frequency transducer specifically as a proof of concept for US capsule endoscopy (USCE), providing information that may usefully assist future research. A rotary solenoid-coil-based motor was employed to rotate the US transducer with sectional electronic control. A set of gears was used to convert the sectional rotation to circular rotation. A single-element focused US transducer with 39-MHz center frequency was used for high-resolution US imaging, connected to an imaging platform for pulse generation and image processing. Key parameters of US imaging for USCE applications were evaluated. Wire phantom imaging and tissue phantom imaging have been conducted to evaluate the performance of the proposed method. A porcine small intestine specimen was also used for imaging evaluation in vitro. Test results demonstrate that the proposed device and rotation mechanism are able to offer good image resolution (


Ultrasonics | 2015

A scanning-mode 2D shear wave imaging (s2D-SWI) system for ultrasound elastography.

Weibao Qiu; Congzhi Wang; Yongchuan Li; Juan Zhou; Ge Yang; Yang Xiao; Ge Feng; Qiaofeng Jin; Peitian Mu; Ming Qian

\sim 60~\mu \text{m}


internaltional ultrasonics symposium | 2014

A programmable ultrasound platform for multi-gate Doppler measurement

Weibao Qiu; Zongying Ye; Liyang Chi; Peitian Mu; Guofeng Li; Congzhi Wang; Yang Xiao; Ming Qian; Lei Sun

) of the lumen wall, and they, therefore, offer a viable basis for the fabrication of a USCE device.


internaltional ultrasonics symposium | 2017

A new method to increase the penetration depth of intravascular ultrasound with coded excitation imaging

Jiehan Hong; Peitian Mu; Xingyin Wang; Weibao Qiu

Ultrasound elastography is widely used for the non-invasive measurement of tissue elasticity properties. Shear wave imaging (SWI) is a quantitative method for assessing tissue stiffness. SWI has been demonstrated to be less operator dependent than quasi-static elastography, and has the ability to acquire quantitative elasticity information in contrast with acoustic radiation force impulse (ARFI) imaging. However, traditional SWI implementations cannot acquire two dimensional (2D) quantitative images of the tissue elasticity distribution. This study proposes and evaluates a scanning-mode 2D SWI (s2D-SWI) system. The hardware and image processing algorithms are presented in detail. Programmable devices are used to support flexible control of the system and the image processing algorithms. An analytic signal based cross-correlation method and a Radon transformation based shear wave speed determination method are proposed, which can be implemented using parallel computation. Imaging of tissue mimicking phantoms, and in vitro, and in vivo imaging test are conducted to demonstrate the performance of the proposed system. The s2D-SWI system represents a new choice for the quantitative mapping of tissue elasticity, and has great potential for implementation in commercial ultrasound scanners.


internaltional ultrasonics symposium | 2017

A delayed-excitation imaging method for micro-ultrasound

Peitian Mu; Jingjing Xia; Xingyin Wang; Congzhi Wang; Yang Xiao; Ge Yang; Lei Sun; Weibao Qiu

Noninvasive visualization of blood flow with high frequency Doppler ultrasound has been extensively used to assess the morphology and hemodynamics of the microcirculation. A completely digital implementation of multi-gate pulsed-wave (PW) Doppler method was proposed in this paper for high frequency ultrasound applications. Analog mixer was eliminated by a digital demodulator and same data acquisition path was shared with traditional B-mode imaging which made the design compact and flexible. Hilbert transform based quadrature demodulation scheme was employed to achieve the multi-gate Doppler acquisition. Parabolic velocity gradient inside the vessel phantom and velocity profile with different time slots were acquired to demonstrate the functionality of the multi-gate Doppler.


Sensors | 2014

A Digital Multigate Doppler Method for High Frequency Ultrasound

Weibao Qiu; Zongying Ye; Yanyan Yu; Yan Chen; Liyang Chi; Peitian Mu; Guofeng Li; Congzhi Wang; Yang Xiao; Jiyan Dai; Lei Sun

Intravascular ultrasound (IVUS) is a well-established diagnostic method that provides high-resolution images of vessel walls and atherosclerotic plaques. High-frequency (>50 MHz) ultrasound enables the spatial resolution of IVUS to approach that of optical imaging methods. However, the penetration depth decreases when using higher imaging frequencies due to the greater acoustic attenuation. In this paper we propose an ultrasound system specifically designed for coded excitation based IVUS (CE-IVUS) applications.


IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control | 2018

Imaging-Guided Dual-Target Neuromodulation of the Mouse Brain Using Array Ultrasound

Guofeng Li; Weibao Qiu; Jiehan Hong; Qiuju Jiang; Min Su; Peitian Mu; Ge Yang; Yongchuan Li; Congzhi Wang; Huailing Zhang

High-frequency ultrasound (>20 MHz) imaging has gained widespread attention due to its high spatial resolution being useful for basic cardiovascular and cancer research involving small animals. The sampling rate of the analog-to-digital converter in a high-frequency ultrasound system usually needs to be higher than 120-MHz to satisfy the Nyquist requirement. However, the sampling rate is typically within the range of 40–60 MHz in a traditional ultrasound system, which is not compatible with high-frequency ultrasound imaging. We propose a delayed-excitation method in this study for performing high-frequency ultrasound imaging with a traditional data acquisition scheme.


IEEE Transactions on Medical Imaging | 2018

A dual-mode imaging catheter for intravascular ultrasound application

Jiehan Hong; Min Su; Yanyan Yu; Zhiqiang Zhang; Rong Liu; Yaocai Huang; Peitian Mu; Weibao Qiu

Noninvasive visualization of blood flow with high frequency Doppler ultrasound has been extensively used to assess the morphology and hemodynamics of the microcirculation. A completely digital implementation of multigate pulsed-wave (PW) Doppler method was proposed in this paper for high frequency ultrasound applications. Analog mixer was eliminated by a digital demodulator and the same data acquisition path was shared with traditional B-mode imaging which made the design compact and flexible. Hilbert transform based quadrature demodulation scheme was employed to achieve the multigate Doppler acquisition. A programmable high frequency ultrasound platform was also proposed to facilitate the multigate flow visualization. Experimental results showed good performance of the proposed method. Parabolic velocity gradient inside the vessel and velocity profile with different time slots were acquired to demonstrate the functionality of the multigate Doppler. Slow wall motion was also recorded by the proposed method.


IEEE Transactions on Biomedical Engineering | 2018

A Delayed-Excitation Data Acquisition Method for High-Frequency Ultrasound Imaging

Weibao Qiu; Jingjing Xia; Yulong Shi; Peitian Mu; Xingying Wang; Mengdi Gao; Congzhi Wang; Yang Xiao; Ge Yang; Jihong Liu; Lei Sun


Brain Stimulation | 2017

Multi-position brain stimulation on mouse by array ultrasound

Guofeng Li; Qiuju Jiang; Jiehan Hong; Peitian Mu; Ge Yang; Congzhi Wang; Weibao Qiu

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Weibao Qiu

Chinese Academy of Sciences

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Congzhi Wang

Chinese Academy of Sciences

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Ge Yang

Chinese Academy of Sciences

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Yang Xiao

Chinese Academy of Sciences

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Guofeng Li

Chinese Academy of Sciences

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Jiehan Hong

Chinese Academy of Sciences

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Ming Qian

Chinese Academy of Sciences

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Lei Sun

Hong Kong Polytechnic University

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Yongchuan Li

Chinese Academy of Sciences

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Jingjing Xia

Chinese Academy of Sciences

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