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International Conference on Biomedical Engineering and Informatics (BMEI)

作者： Jin Wang Chen Zhang Yuanyuan Wang Department of Electronic Engineering Key laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Fudan University Shanghai China

Photoacoustic (PA) imaging is a potential new biomedical imaging technique with combined advantages of ultrasonography's good resolution and high contrast of optical imaging. The spectrum parameters obtained from photoacoustic spectrum analysis (PASA) have been found to have the relationship with tissue microstructure. However, the effects of transducer positions on PASA have not been studied yet. A simplified 2-D simulation model is presented using Monte Carlo method and finite-difference time-domain (FDTD) method to detect PA signals from various transducer positions generated by microspheres with certain radius which have uniformly random positions within the region of interest. PASA is applied and the spectral slope from different distances and angles is extracted and compared with that from microspheres of different radius but at the same positions. It finds that PA spectral slope extracted from some angles show better relationship with dimensions of the microspheres than that from other angles. While changing the detection radius does not have a significant effect on the result.

关键词： Phantoms Transducers Monte Carlo methods Spectral analysis Calibration Fitting

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The theoretical and experimental analysis of ultrasound contrast agent micro bubbles: The Sonovue

The theoretical and experimental analysis of ultrasound cont...

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International Conference on Biomedical Engineering and Informatics (BMEI)

作者： Shuying Li Yurong Huang Yi Cheng Jinhua Yu Yuanyuan Wang Department of Electronic Engineering Fudan University Shanghai China The key laboratory of medical imaging computing and computer assisted intervention of shanghai China

Sonovue is a kind of ultrasound contrast agent (UCA) with a stable shell made by lipid, within which is SF6. Due to the specific acoustic characteristics, UCA has been widely used in ultrasound diagnosis and therapy. In some cases, the 2nd harmonic wave of the scattered signal should be strong enough to help form a high quality image. To better utilize the bubbles to get enough intensity of the 2nd harmonic wave of the scattered signal, numerical simulation and corresponding experiments based on the several models proposed before have been analyzed to study the behavior of the bubbles. In this paper, we use the ratio of the second harmonic wave and fundamental wave to evaluate the oscillation of the bubbles. Besides, we have compared different simulation models and designed corresponding platform of phantom study. Finally, we find that the second harmonic wave will get a remarkable growth when the driving pressure is under 150KPa in the simulation or under 200KPa in the experiment.

关键词： Mathematical model Harmonic analysis Numerical models Acoustics Liquids Phantoms Ultrasonic imaging

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Algorithm for abdominal surgery incision detection based on automated 3D ultrasound coronal plane images

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2016年 37卷 23-27页

作者： Wu, Jun Wen, Le Wang, Yuanyuan Zhang, Yufeng Chen, Yue Chen, Lin Department of Electronic Engineering Yunnan University Kunming650504 China Department of Electronic Engineering Fudan University Shanghai200433 China Key Lab of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Shanghai200032 China Department of Ultrasound Huadong Hospital Fudan University Shanghai200040 China

Incisional hernia is an abdominal wall defect that occurs in the original incision area. Accurate positioning of surgery incision has important clinical value for incisional hernia diagnosis. In this paper, an algorithm is proposed for abdominal surgery incision detection based on automated 3D ultrasound coronal plane images. Firstly, the coronal plane ultrasound images are filtered by using Speckle Reducing Anisotropic Diffusion method. Then, the image pre-processing operations are used to reduce the amount of calculation and improve the execution efficiency. Finally, a straight-line equation of the original surgery incision is obtained by using edge detection, maximum distance screening and linear fitting. It is shown in the results that the fitting line of the surgery incision is very close to the location of the actual surgery incision, which means the algorithm has satisfied fitting features and high detection precision. © 2016, Science Press. All right reserved.

关键词： Surgery

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Research of an Electromagnetic Tracking Method Based on Two Electrically-controlled Magnetic Sources

Research of an Electromagnetic Tracking Method Based on Two ...

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2015 IEEE Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2015)

作者： Min Sha Yifeng Wang Ning Ding Xiaomei Wu Zuxiang Fang Department of Electronic Engineering Fudan University Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention

ISBN: (纸本)9781479919819

This paper presents an electromagnetic tracking method based on two electrically-controlled magnetic *** source consists of three mutual orthogonal *** method can skillfully determine the rotation angles of the maximum magnetic flux density vector(MMFD V) generated by a magnetic source according to the Biot-Savart *** the position of the sensor can be calculated with a noniterative geometrical algorithm in real *** results demonstrate a good performance of this method.

关键词： electromagnetic tracking MMFDV fast determination algorithm finite element analysis

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A novel method with a deep network and directional edges for automatic detection of a fetal head

A novel method with a deep network and directional edges for...

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European Signal Processing Conference (EUSIPCO)

作者： Siqing Nie Jinhua Yu Ping Chen Jianqiu Zhang Yuanyuan Wang Department of Electronic Engineering Fudan University Shanghai China Key laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Ultrasound Department Tongji University Shanghai China

In this paper, we propose a novel method for the automatic detection of fetal head in 2D ultrasound images. Fetal head detection has been a challenging task, as the ultrasound images usually have poor quality, the structures contained in the images are complex, and the gray scale distribution is highly variable. Our approach is based on a deep belief network and a modified circle detection method. The whole process can be divided into two steps: first, a deep learning architecture is applied to search the whole image and determine the result patch that contains the entire fetal head; second, a modified circle detection method is used along with Hough transform to detect the position and size of the fetal head. In order to validate our method, experiments are performed on both synthetic data and clinic ultrasound data. A good performance of the proposed method is shown in the paper.

关键词： Head Image edge detection Ultrasonic imaging Magnetic heads Training Europe Signal processing

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A Fast Global Maximum Searching Strategy in Electromagnetic Tracking

A Fast Global Maximum Searching Strategy in Electromagnetic ...

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2015 World Conference on Control, Electronics and Electrical Engineering(WCEE 2015)

作者： Yifeng Wang Xiaomei Wu Jianguo Yu Department of Electronic Engineering Fudan University Digital Medical Research Center of Fudan University Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI)

In a rotating coil based magnetic tracking system,so long as the rotating coil has seized the direction of the magnetic sensor,geometric algorithm can compute the position and orientation of the target object without tedious iterative ***,the rotation process of the coil is still time *** the coil will be rotated in a plane,the measured magnetic field density should change as a sine/cosine-like *** on this,we proposes a searching strategy in which field densities are measured along four sparse even spaced directions to lock an initial searching range,and then the searching range is continuously halved around the measured maximum field density until a required tracking precision is *** results show that the geometric tracking algorithm with this global searching strategy can track the target object with higher efficiency and higher precision than the algorithm without this searching ***,in the condition of low field noises,the optimized non-iterative algorithm with global searching strategy has better precision than the traditional iterative algorithms as well.

关键词： adaptive algorithm,binary search,global optimization,local optimization,magnetic tracking,non-iterative algorithm.

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The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC medical imaging 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Segmentation of arteriovenous malformations nidus and vessel in digital subtraction angiography images based on an iterative thresholding method

Segmentation of arteriovenous malformations nidus and vessel...

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International Conference on Biomedical Engineering and Informatics (BMEI)

作者： Yuxi Lian Yuanyuan Wang Jinhua Yu Yi Guo Liang Chen Department of Electronic Engineering Fudan University Shanghai China Key laboratory of Medical Imaging Computing and-Computer Assisted Intervention of Shanghai China Department of Neurosurgery Fudan University Shanghai China

Digital subtraction angiography (DSA) plays an important role in the diagnosis and therapy of vascular diseases. Segmentation of nidus and vessel in DSA images is an essential step in the diagnosis of arteriovenous malformations (AVM). In this paper, a novel segmentation method based on the global and iterative local thresholding is proposed to segment the nidus and vessel in DSA images. Firstly, the original image is divided into proper subimages. For each subimage, Ostu's method is primarily used and pixels are classified into two groups by the threshold. Then, according to the variance of the subimage intensities, the mean or median values of two groups are calculated to sort the pixels into three classes. These three classes represent the dark AVM and vessel, the bright background and undetermined regions in the original DSA image. The first two classes are determined directly and will not be processed further. The undetermined regions are processed in the next iteration to segment tiny vessels until the thresholds between two iterations are less than a preset one. Finally, all classes are combined to create the segmentation result. We test this method on DSA images of the AVM. Experimental results show that the proposed method performs better than the other state-of-the-art methods in the segmentation of DSA images. The proposed method can identify fine and tiny vessel structures, as well as distinguish large AVM nidus in one framework.

关键词： Image segmentation Iterative methods Angiography Diseases Blood vessels Hospitals

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Ventricular Wave Feature Extraction of ECG Signal based on Synthesized Algorithm

Ventricular Wave Feature Extraction of ECG Signal based on S...

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2015 Global Conference on Biological Engineering and Biomedical(CBEB 2015)

作者： Wang Cong Wu Xiaomei Department of Electric Engineering School of InformationFudan University Digital Medical Research Center of Fudan University Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention

Electrocardiogram(ECG) is a record of the electrical activity of the heart. Using computer to extract feature points of ventricular wave of ECG automatically is of great significance, for it can indicate plenty of heart diseases. In this paper,a synthesized algorithm is proposed to analyse ventricular wave of ECG. After multiresolution wavelet decomposition,QRS complex and T wave are reconstructed with different coefficients based on the spectrum characteristics of different portion of ECG. Self-adaptive threshold is applied in peak detection. Maximum and minimum modulus is used to obtain QRS onset and offset. Area integration is adopted to acquire T offset. This synthesized algorithm achieves a preferable detection result in QT database of Physionet with higher accuracy and precision, which will lay a better foundation for analysis and prediction of ventricular heart diseases.

关键词： ventricular wave of ECG signal analysis,feature extraction,synthesized algorithm

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Morphological Evidence of Telocytes in Mice Aorta

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Chinese medical Journal 2015年第3期128卷 348-352页

作者： Hong-Qi Zhang Shan-Shan Lu Ting Xu Yan-Ling Feng Hua Li Jun-Bo Ge Department of Anatomy Histology and Embryology Shanghai Medical College Fudan University Shanghai 200032 China Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Shanghai 200032 China Department of Pathology Shanghai Public Health Clinical Center Shanghai 201508 China Institute of Biochemistry and Cell Biology Shanghai Institutes of Biological Sciences Chinese Academy of Sciences Shanghai 200031 China Shanghai Institute of Cardiovascular Diseases Zhongshan Hospital Fudan University Shanghai 200032 China institutes of Biomedical Sciences Fudan University Shanghai 200032 China

Background： Telocytes （TCs） are a novel type of interstitial cells, which have been recently described in a large variety of cavitary and noncavitary organs. TCs have small cell bodies, and remarkably thin, long, and moniliform prolongations called telopodes （Tps）. Until now, TCs have been found in various loose connective tissues surrounding the arterioles, venules, and capillaries, but as a histological cellular component, whether TCs exist in large arteries remains unexplored. Methods： TCs were identified by transmission electron microscope in the aortic arch of male C57BL/6 mice. Results： TCs in aortic arch had small cell bodies （length： 6.06-13.02 μm： width： 1.05-4.25 μm） with characteristics of specific long （7.74-39.05 μm）, thin, and moniliform Tps; TCs distributed in the whole connective tissue layer of tunica adventitia： TCs in the innermost layer of tunica adventitia, located at the juncture between media and adventitia, with their long axes oriented parallel to the outer elastic membrane： and TCs in outer layers oftunica adventitia, were embedded among transverse and longitudinal oriented collagen fibers,forming a highly complex three-dimensional meshwork. Moreover, desmosomes were observed, serving as pathways connecting neighboring Tps. In addition, vesicles shed from the surface of TCs into the extracellular matrix, participating in some biological processes. Conclusions： TCs in aorta arch are a newly recognized complement distinct from other interstitial cells in large arteries, such as fibroblasts. And further biologically functional correlations need to be elucidated.

关键词： Aorta＇ Telocyte： Telopode

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