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

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

ISBN: (纸本)9781479919796

This paper presents an electromagnetic tracking method based on two electrically-controlled magnetic sources. Each source consists of three mutual orthogonal coils. The 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 Law. Then the position of the sensor can be calculated with a noniterative geometrical algorithm in real time. Simulation results demonstrate a good performance of this method. © 2015 IEEE.

关键词： Finite element method

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Recognition of temporal lobe epilepsy based on high throughput analysis of MRI images

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2016年 37卷 78-82页

作者： Lian, Yuxi Yu, Jinhua Wang, Yuanyuan Shi, Zhifeng Chen, Liang Department of Electronic Engineering Fudan University Shanghai200433 China Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Shanghai200032 China Department of Neurosurgery Huashan Hospital Fudan University Shanghai200400 China

Temporal lobe epilepsy is a usual kind of epileptic *** recognition of temporal lobe epilepsyfrom MRI (magnetic resonance imaging) images can avoid the harm of radiation generated by PET (position emission computed tomography). An algorithm is proposed to recognize the temporal lobe epilepsybased onhigh throughput analysis of MRI ***, the brain MRI images are registered to the standardbrain atlas with SPM12 platform and the hippocampusregion is extracted as the ROI (Region of Interest) according to the AAL (anatomical automatic labeling) atlas in the same coordinate *** high throughput analysis is conducted to extract 540 image features from the ROI region. Finally, the Bagging method is used to distinguish normal persons and *** for 20 normal persons and 10 patients withtemporal lobe epilepsy are made to validate the proposed algorithm. The results indicate that the algorithm can obtain good classification performance with 100% accuracy. Hence, the proposed algorithm based on high throughout analysis and the Bagging classification method can be adopted to recognize temporal lobe epilepsy effectively. © 2016, Science Press. All right reserved.

关键词： Magnetic resonance 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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Ultrasound harmonic imaging with reducing speckle noise by an interlaced iterative frequency compounding approach

Ultrasound harmonic imaging with reducing speckle noise by a...

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International Conference on Biomedical Engineering and Informatics (BMEI)

作者： Wei Guo Yuanyuan Wang Jinhua Yu Department of Electronic Engineering Key laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Fudan University Shanghai China

Speckle noise is a phenomenon inherent in any coherent imaging system and decreases the signal-to-noise ratio (SNR), which brings down the imaging quality. Speckle noise reduction is particularly important in the tissue harmonic imaging (THI) since it has the lower energy and the poorer SNR than the fundamental imaging (FI). Speckle can be reduced by frequency compounding (FC), which means incoherently averaging the images with different speckle patterns acquired by changing the center frequency of the pulse. As for the THI, the difference in the emission spectrum doubles when using the FC. In this paper, we propose an interlaced iterative frequency compounding (IIFC) method with the pulse inversion (PI) technique. The new method brings a good speckle suppression performance while the high frame rate is retained. To illustrate the performance of our method, experiments have been conducted on the simulated data. A nonlinear simulation platform based on the full-wave model is used in the harmonic imaging simulation. Results show that our method brings the SNR an improvement of up to 22% in comparison with the single frame THI while maintaining a far better performance in both terms of resolution and contrast than the FI. We also demonstrate that our method for THI retains the high frame rate although using PI.

关键词： imaging Speckle Harmonic analysis Signal to noise ratio Image resolution Ultrasonic imaging Iterative methods

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Automatic tumor detection in automated 3-D breast ultrasound using local phase information

Automatic tumor detection in automated 3-D breast ultrasound...

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International Conference on Biomedical Engineering and Informatics (BMEI)

作者： Xin Wang Yi Guo Yuanyuan Wang Department of Electronic Engineering Key laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Fudan University Shanghai China

Tumor localization in automated whole breast ultrasound (ABUS) images is an important and challenging task in a computer-aided detection (CAD) system. In this study, a completely automatic tumor detection method using the local phase information was proposed to accurately locate the tumor in ABUS images, thus accelerate the segmenting process. The phase in the max-energy orientation (PMO) image of the preprocessed ABUS image was acquired and binarized as well as the preprocessed image and the composed image obtained from the sum of the preprocessed image and the PMO image. Then morphologic postprocessing was performed to remove non-tumor regions and a region selection algorithm was used to get the tumor region from these three binary 3-D images and generate the volume of interests (VOI). The performance of the method was evaluated using a dataset of 40 cases and the sensitivity achieved 75% and 100% with false positives per volume of 0.25 and 2, respectively. Besides, the average precision rate and average recall rate of the detected VOI were 92.4% and 20.1%. The results proved that the proposed method could deal with various breast tumors and accurately locate the tumor.

关键词： Breast Lesions Gabor filters Three-dimensional displays Ultrasonic imaging Design automation

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A simulation study of the effect of transducer position on photoacoustic spectrum analysis for stochastic microstructure

A simulation study of the effect of transducer position on p...

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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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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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