Browsing by Author "Wu, Shih-Yang"

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A Hardware Design for Portable Continuous Wave Diffuse Optical Tomography
(2010)
Kang, Shih
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Wu, Shih-Yang
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Fu, Chih-Chung
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Chua, Ericson
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Hsu, Yuan-Huang
In recent years, the rapid development of diffuse optical tomography (DOT) technology has made possible many successful applications in the field of biomedicine, such as breast cancer detection and observation of oxygenated hemoglobin distribution in the brain. In this work, we build an inexpensive and portable real-time continuous wave near-infrared (CW-NIR) DOT system hardware suitable for use in system on a chip (SOC) applications. With greatly reduced system volume, the system can pave the way for practical developments in the clinical setting. The proposed system processes digitized biomedical signals acquired from a front-end sensor circuit, and can operate in either continuous or discontinuous mode according to user settings. Finally, we demonstrate the improvements in image reconstruction associated with the two-dimensional (2D) post-processing technique employed in the proposed system.
A High Efficiency Hardware Design for Real-Time Continuous Wave Diffuse Optical Tomography
(2013)
Wu, Shih-Yang
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Cheng, Ching-Ju
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Fang, Wai-Chi
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Lin, Frankwell
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Yu, Felix
Diffuse Optical Tomography (DOT) is a novel medical image technology with non-invasive method in the recent years. However, it has not been popular in clinical practice. In this work, a custom signal processing engine for Continuous Wave (CW) DOT is proposed, for the forward and inverse problem in the calculating procedure. To achieve the goals of small hardware size, low power consumption, and popularity, the design applied the Very-large-scale integration (VLSI) concept. In addition, the design is also implemented onto System on a chip (SoC) with a front-end sensor control, wireless communication, and a user friendly interface as a prototype of a health care monitor system. Lastly, we demonstrate a static phantom experiment to verify the functionality of the whole proposed system.
A Non-Linear Iterative Method for Multi-Layer DOT Sub-Surface Imaging System
(2014-01-01)
Hou, Hsiang-Wen
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Wu, Shih-Yang
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Sun, Hao-Jan
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Fang, Wai-Chi
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分子醫學與生物工程研究所
Diffuse Optical Tomography (DOT) has become an emerging non-invasive technology, and has been widely used in clinical diagnosis. Functional near-infrared (FNIR) is one of the important applications of DOT. However, FNIR is used to reconstruct two-dimensional (2D) images for the sake of good spatial and temporal resolution. In this paper we propose a multiple-input and multiple-output (MIMO) based data extraction algorithm method in order to increase the spatial and temporal resolution. The non-linear iterative method is used to reconstruct better resolution images layer by layer. In terms of theory, the simulation results and original images are nearly identical. The proposed reconstruction method performs good spatial resolution, and has a depth resolutions capacity of three layers.
A Novel Near-Infrared Array Based Arterial Pulse Wave Measurement Method
(2013)
Huang, Wei-Chin
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Hou, Hsiang-Wen
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Cheng, Ching-Ju
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Wu, Shih-Yang
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Chen, Tien-Ho
Recently there have been many studies regarding pulse wave velocity (PWV) produced by near-infrared light. However, these studies have used multiple probes with the synchronization problem. This paper proposed a new detecting method to measure PWV on a radial artery with multiple channels in one front-end sensor array. The system was implemented on a MSP430F169 platform and the PWV result was transmitted by RS232 and displayed on the computer screen after being processed. Finally, the PWV result was measured to validate the functionality of the system.
A Portable 2-D Oximeter Image System Design for Breast Foreign Tissue Detection
(2012)
Cheng, Ching-Ju
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Wu, Shih-Yang
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Kang, Shih
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Chen, Tien-Ho
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Fang, Wai-Chi
Many studies of two dimensional (2D) oxygen saturation distribution reconstruction have recently been conducted. However, these studies use powerful computers or large mainframes which are impractical for home health care systems. This paper proposes a 2D, portable, low-cost, real-time oxygen saturation distribution reconstruction system to detect breast cancer, making early detection possible. The system is implemented on FPGA with front-end sensors and display devices. The functionality of the system is verified using a phantom which presents breast tissue.
A SoC Design for Portable 2-Dimension Oximeter Image System
(2012)
Cheng, Ching-Ju
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Wu, Shih-Yang
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Kang, Shih
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Chen, Tien-Ho
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Fang, Wai-Chi
In recent years, many studies of 2-D oxygen saturation distribution reconstruction have provided easy access to human brain activity regions. However, only a few research focus on the home health care system using this technique. In this paper, we proposed a portable, low cost and real-time distribution reconstruction system of oxygen saturation in 2-D to make diagnosis at home possible. The system has been implemented in hardware as an oxygen saturation processor and verified on Field Programmable Gate Array (FPGA). Furthermore, we also introduce an image post processing unit to enhance the reconstruction result. Finally, we show that our system can recognize the variation of oxygen saturation region with high precision in detection tissue.
A Wireless Near-Infrared Imaging System Design for Breast Tumor Detection
(2014-01-01)
Cheng, Ching-Ju
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Wu, Shih-Yang
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Huang, Wei-Chin
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Hou, Hsiang-Wen
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Fang, Wai-Chi
In recent years, many near-infrared systems are used to detect breast tumor. However, the large instrument size and unfriendly interface make them hard to be accessed by users. In this paper, we proposed a portable, wireless and user friendly breast imaging system for breast tumor early detection. The system is implemented on self-designed platform combined with front-end sensors, DOT chip by TSMC 90nm technology, and commercial display devices. Furthermore, we confirm the functionality of the system by phantom testing.
An Effective Forward Model Based on Accelerated Monde Carlo Method for Diffusion Optical Tomography Imaging Systems
(2012)
Wu, Shih-Yang
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Fang, Wai-Chi
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電子工程學系及電子研究所
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Department of Electronics Engineering and Institute of Electronics
In noninvasive tomography, subcutaneous abnormal tissue can change the absorption coefficient of light. This paper explores diffusion optical tomography. It uses the amount of incident light diffusing to the surface of the skin to detect light intensity at a specific position. The specific reconstruction algorithm is used to reconstruct the distribution of abnormal tissue in detection areas. This paper proposes a forward model for diffusion optical tomography. Based on an accelerated Monte Carlo method, the forward model saves simulation time when detecting light propagation in subcutaneous tissue. This technique is used to examine the reconstruction algorithm to evaluate abnormal tissue distribution accuracy.
Live Demonstration: An FPGA-Based Continuous Wave Diffuse Optical Tomography System
(2012)
Kang, Shih
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Wu, Shih-Yang
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Cheng, Ching-Ju
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Fang, Wai-Chi
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Kao, Wen-Chung
This work provides an FPGA-based continuous wave diffuse optical tomography (CW-DOT) system for tumor detection and oxygen concentration measurement. According to user's parameter setting, the proposed system can solve image reconstruction of absorption coefficient at the wavelengths of 735nm and 890nm in analytes, and oxygen concentration through the proposed image reconstruction engine in real-time. Meanwhile, the reconstruction image will be wirelessly transmitted to a remote platform for image display. Also, the whole system comprises front-end circuit for analog data acquiring, digital signal processing and an image display platform as a prototype of a healthcare monitory system.
Portable SoC Design for CW Diffusion Optical Tomography
(2012)
Kang, Shih
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Wu, Shih-Yang
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Cheng, Ching-Ju
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Fang, Wai-Chi
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電子工程學系及電子研究所
In this paper, a digital signal processing system for image reconstruction of continuous wave diffusion optical tomography (CW-DOT) is proposed. Optical tomography systems employing near-infrared light can be used to detect oxygen concentration and impurities such as breast cancer in the human body. The proposed CW-DOT architecture is a truly appropriate system for further enhancing the possibility of miniaturization. The system is designed with the goal of high accuracy, low power and low cost for portable biomedical system on a chip (SoC) applications. Finally, the system has been verified on an SoC development platform, demonstrating fast and accurate reconstruction of two-dimensional (2D) DOT images.