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Unified Framework for Oculomotor Nerve Reconstruction: Tractography-Based Anatomical Assessment

Journal of Neuroimaging 2025年第3期35卷

作者： Jiahao Huang Qingrun Zeng Ye Wu Jiawei Zhang Mengjun Li Lei Xie Mingchu Li Yuanjing Feng Institute of Information Processing and Automation College of Information Engineering Zhejiang University of Technology Hangzhou China Zhejiang Provincial United Key Laboratory of Embedded Systems Hangzhou China School of Computer Science and Technology Nanjing University of Science and Technology Nanjing China Department of Radiology Second Xiangya Hospital Central South University Changsha China Department of Neurosurgery Capital Medical University Xuanwu Hospital Beijing China

Background and Purpose The oculomotor nerve (OCN) innervates the eye muscles and can be affected by inflammatory, compressive, and pathological conditions. Diffusion MRI (dMRI) tractography shows the potential ability to describe the trajectory of the OCN. However, reconstruction of the OCN in the cavernous sinus is still challenging due to the complex tissue environment at the skull base. Methods In this study, we integrated anatomical knowledge to propose a unified framework for OCN tractography, using 45 dMRI datasets from the Human Connectome Project subjects aged 22–36 years and data from four neurosurgical patients aged 41–53 years with visual behavior disorders. We first employed automatically labeled direct and indirect anatomical landmarks as reference locations for individualized tractography. Next, we compared five widely used cranial nerve reconstruction algorithms to assess the most suitable method for OCN reconstruction. Finally, we tested the combination of the unified framework and the optimized tractography method in tumor patients. Results We found that unscented Kalman filter (UKF)-2T and probabilistic tractography outperformed other methods in OCN fiber tractography, owing to their “step-by-step” fiber direction computation and multidirectional consideration, respectively. In neurosurgical patients, UKF-2T effectively reconstructed OCN fibers around lesions. Conclusion Our study provides valuable insights for researchers and clinicians in the diagnosis and treatment of OCN-related diseases and neurosurgeries.

关键词： diffusion magnetic resonance imaging Human Connectome Project neurosurgery oculomotor nerve tractography

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A novel word length optimization method for radix-2k fixed-point FFT

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Science China(information Sciences) 2018年第2期61卷 278-282页

作者： Chen YANG Yizhuang XIE He CHEN Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology

Dear editor,Fast Fourier transform(FFT)is one of the most fundamental algorithms used in digital signal *** applications such as orthogonal frequency division multiplexing(OFDM),long term

关键词： A novel word length optimization method for radix-2~k fixed-point FFT length

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A high-precision phase-derived range and velocity measurement method based on synthetic wideband pulse Doppler radar

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Science China(information Sciences) 2017年第8期60卷 151-162页

作者： Huayu FAN Lixiang REN Teng LONG Erke MAO Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Radar Research Laboratory Beijing Institute of Technology

Development of radar technology needs to address the two-dimensional high resolution of range and velocity simultaneously for high-speed targets. Taking advantage of the superior coherent performance of synthetic wideband pulse Doppler radar, this paper elaborates the principles of phase-derived range and velocity measurements. Moreover, this paper explores the key technologies of unwrapping phase ambiguity, and discusses the phase unwrapping strategy at a low signal-to-noise ratio(SNR). The proposed method can be applied to the conditions of low SNR and has comparatively strong practicality in engineering. Both the ejection ball and civil aircraft experiments have validated the correctness and feasibility of the proposed method. In particular,the experimental results reveal that the accuracy of phase-derived range and velocity measurement has reached a level of submillimeter or millimeter and centimeter/second or submillimeter/second, respectively.

关键词： synthetic wideband PD radar phase-derived range measurement phase-derived velocity measurement unwrapping phase ambiguity track filtering minimum entropy method

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realization of fixed-point SAR imaging based on embedded GPU

Realization of fixed-point SAR imaging based on embedded GPU

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Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： HuiXing Li ZiXin Gao BingYi Li Yi Zhuang Xie Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Radio Measurement Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Aiming at the problem of insufficient memory in the real-time processing of SAR imaging on embedded TX2, this paper studies a design optimization scheme of fixed-point imaging algorithm on TX2. In order to ensure the accuracy, this paper only performs fixed-point processing on the FFT. According to the characteristics of the algorithm, the memory multiplexing method is adopted to effectively reduce the occupation of the work area buffer. A large number of registers are used to improve computing performance. The results show that the fixed-point FFT processing scheme can achieve a hundred times faster than the Intel Xeon CPU, and the memory footprint is less.

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Polarimetric SAR Image Scattering Center Estimation via Atomic Norm Minimization

Polarimetric SAR Image Scattering Center Estimation via Atom...

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Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Ying Xi Yanhua Wang Wei Chen Haibo Liu Yang Li Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Polarization is one of the most important characteristics of electromagnetic wave, which offers another dimension of information to radar automatic target recognition (RATR). The combination of polarization and SAR technology is a vital research direction for RATR. Fusing the polarization information into the scattering center model is able to refine the scattering structural information. This paper proposes a fully-polarimetric SAR images scattering center estimation method based on multiple measurement vector (MMV) atomic norm minimization (ANM) model. The experimental results indicate the superiorities of the proposed method in terms of accuracy and robustness.

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The Verification System of Sliding Spotlight Mode SAR Imaging based on SoPC

The Verification System of Sliding Spotlight Mode SAR Imagin...

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Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Shankang Hu Yizhuang Xie Jie Lian Bingyi Li Beijing Institute of Remote Sensing Equipmentt BeiJing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China Beijing Institute of Radio Metrology and Measurement Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Aiming at the application background of sliding spotlight mode Synthetic Aperture Radar (SAR) imaging processing, this paper builds a System-on-a-Programmable-Chip-based (SoPC-based) sliding spotlight mode SAR imaging verification system, which uses software and hardware collaborative design method to complete algorithm-to-hardware mapping and can quickly and truly perform in FPGA or ASIC. Finally, we analyzed the implementation of the imaging prototype system and the imaging results. For the generation of correlation factors, this paper hierarchically decomposes the factor generation operation to realize the time division multiplexing of the operation unit, in order to reduce resource consumption. At the same time, a variable point Fast Fourier Transformation (FFT) processor based on a variable radix-2 3 multiplexing butterfly unit is designed and implemented. Combining these two parts with other modules enables the entire sliding spotlight mode imaging process. On the basis of keeping the error of the result small, the overall resource consumption is greatly reduced. The 1024~32768 point FFT is implemented by the top-level configurable method, and the operation delay is reduced by more than 20% compared with the Xilinx FFT IP core. The final imaging time is reduced to seconds, and the imaging results meet the requirements. Subsequent compatibility design for other SAR imaging modes also can be achieved.

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An improved RUDP for data transmission in embedded real-time system

An improved RUDP for data transmission in embedded real-time...

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Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Yingying Chen Shanqing HU Xingming LI Ce Wang Zhe Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of technology Beijing China Beijing Racobit Electronic Information Technology Co. Ltd Beijing China Academy of Broadcasting Science Internet Technology Institute Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

At present, the Ethernet has been widely used for data transmission in embedded real-time systems, including TCP (Transmission Control Protocol) and UDP (User Datagram Protocol). However, as embedded real-time systems continue to increase the requirements of transmission speed and reliability, TCP and UDP have not been able to meet the requirements. TCP is a stream-based, connection-oriented communication protocol, so the reliability of TCP is good. But its design is complicated, it occupies a lot of system resources, and the transmission speed of TCP is low. In contrast, UDP is non-connection-oriented protocol, so it is unreliable communication protocol. Both of them limit the Ethernet applying in embedded real-time systems. In order to meet the requirements of real-time, reliability and algorithm simplicity of embedded systems, this paper proposed an improved Reliable User Datagram Protocol (RUDP), which offers a solution to satisfy these requirements. It is valid on the real demonstration that the proposed method can offer a higher speed than TCP without package loss.

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Algorithm Implementation of On-Board SAR Imaging on FPGA+DSP Platform

Algorithm Implementation of On-Board SAR Imaging on FPGA+DSP...

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Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Wenyue Yu Yizhuang Xie Dan Lu Bingyi Li He Chen Liang Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China Shanghai Institute of Satellite Engineering Shanghai China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

This paper introduces an effective parallel processing method to design the on-board SAR (Synthetic Aperture Radar) real time imaging processor using FPGA+DSP based on the high-resolution imaging algorithm. The architecture of this processor is designed based on the analysis of the algorithm operation characteristics and the inherent time relationship. In order to reduce the time consumption, pipeline and parallel joint processing method is applied. In addition, the system uses a combination of floating-point operations and fixed-point operations, which not only meets the imaging accuracy requirements but also saves the hardware scale of the system. The system requires 24s to focus the GF-3 stripmap SAR raw data with a granularity of 16384*16384 when works in 100MHz. The results demonstrate that our method was effective and the imaging quality can meet the requirements.

关键词： real-time sar imaging parallel processing architecture algorithm mapping

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A modified imaging interval selection method based on joint time-frequency analysis for ship ISAR imaging 12

A modified imaging interval selection method based on joint ...

引用

12th European Conference on Synthetic Aperture Radar, EUSAR 2018

作者： Li, Gen Zhang, Tianyi Li, Yong Ding, Zegang Ke, Meng Radar Research Lab School of Information and Electronics Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab School of Information and Electronics Beijing Institute of Technology China

ISBN: (纸本)9783800746361

Selecting proper imaging intervals where the ship rotation vector is constant is a very simple method to obtain high-quality ship inverse synthetic aperture radar (ISAR) images. However, existing imaging interval selection methods are usually based on traversal or iteration, which means that they are time-consuming and complex. Thus, to realize imaging interval selection simply and effectively, a modified imaging interval selection method based on joint time-frequency analysis (JTFA) is proposed in paper. Compared with the traditional range-Doppler algorithm (RDA), the proposed method just has one added step of JTFA. real data processing results validate the effectiveness and superiority of the proposed method. © VDE VERLAG GMBH Â Berlin Â Offenbach.

关键词： Ships

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Multi-dimensional spectral super-resolution with prior knowledge via frequency-selective Vandermonde decomposition and ADMM

arXiv

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arXiv 2019年

作者： Li, Yinchuan Wang, Xiaodong Ding, Zegang School of Information and Electronics Beijing Institute of Technology Beijing100081 China Electrical Engineering Department Columbia University New YorkNY10027 United States Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

This paper is concerned with estimation of multiple frequencies from incomplete and/or noisy samples based on a low-CP-rank tensor data model where each CP vector is an array response vector of one frequency. Suppose that it is known a priori that the frequencies lie in some given intervals, we develop efficient super-resolution estimators by exploiting such prior knowledge based on frequency-selective (FS) atomic norm minimization. We study the MD Vandermonde decomposition of block Toeplitz matrices in which the frequencies are restricted to lie in given intervals. We then propose to solve the FS atomic norm minimization problems for the low-rank spectral tensor recovery by converting them into semidefinite programs based on the MD Vandermonde decomposition. We also develop fast solvers for solving these semidefinite programs via the alternating direction method of multipliers (ADMM), where each iteration involves a number of refinement steps to utilize the prior knowledge. Extensive simulation results are presented to illustrate the high performance of the proposed methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Optical resolving power

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