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A modified OMP method for multi-orbit three dimensional ISAR imaging of the space target
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作者 JIANG Libing ZHENG Shuyu +2 位作者 YANG Qingwei YANG Peng WANG Zhuang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2023年第4期879-893,共15页
The conventional two dimensional(2D)inverse synthetic aperture radar(ISAR)imaging fails to provide the targets'three dimensional(3D)information.In this paper,a 3D ISAR imaging method for the space target is propos... The conventional two dimensional(2D)inverse synthetic aperture radar(ISAR)imaging fails to provide the targets'three dimensional(3D)information.In this paper,a 3D ISAR imaging method for the space target is proposed based on mutliorbit observation data and an improved orthogonal matching pursuit(OMP)algorithm.Firstly,the 3D scattered field data is converted into a set of 2D matrix by stacking slices of the 3D data along the elevation direction dimension.Then,an improved OMP algorithm is applied to recover the space target's amplitude information via the 2D matrix data.Finally,scattering centers can be reconstructed with specific three dimensional locations.Numerical simulations are provided to demonstrate the effectiveness and superiority of the proposed 3D imaging method. 展开更多
关键词 three dimensional inverse synthetic aperture radar(3D ISAR)imaging space target improved orthogonal matching pursuit(OMP)algorithm scattering centers
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Geometric comparison of the mitral and tricuspid valve annulus:Insights from three dimensional transesophageal echocardiography
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作者 Amgad N Makaryus Haisam Ismail +1 位作者 John N Makaryus Dali Fan 《World Journal of Cardiology》 CAS 2017年第9期757-760,共4页
AIM To apply real time three-dimensional transesophageal echocardiography(RT3D TEE) for quantitative and qualitative assessment of the mitral valve annulus(MVA) and tricuspid valve annulus(TVA) in the same patient.MET... AIM To apply real time three-dimensional transesophageal echocardiography(RT3D TEE) for quantitative and qualitative assessment of the mitral valve annulus(MVA) and tricuspid valve annulus(TVA) in the same patient.METHODS Our retrospective cohort study examined the MVA and TVA in 49 patients by RT3 D TEE. MVA and TVA shape were examined by TEE. The MVA and TVA volume data set images were acquired in the mid esophageal 4-chamber view. The MVA and TVA were acquired separately, with optimization of each for the highest frame rate and image quality. The 3D shape of the annuli was reconstructed using the Philips~? Q lab, MVQ ver. 6.0 MVA model software. The end-systolic frame was used. The parameters measured and compared were annular area, circumference, high-low distances(height), anterolateralposterolateral(ALPM), and anteroposterior(AP) axes. RESULTS A total of 49 patients(mean age 61 ± 14 years, 45% males) were studied. The ALPM and the AP axes of the MVA and TVA are not significantly different. The ALPM axis of the MVA was 37.9 ± 6.4 mm and 38.0 ± 5.6 mm for the TVA(P = 0.70). The AP axis of the MVA was 34.8 ± 5.7 mm and 34.9 ± 6.2 mm for the TVA(P = 0.90). The MVA and the TVA had similar circumference and area. The circumference of the MVA was 127.9 ± 16.8 mm and 125.92 ± 16.12 mm for the TVA(P = 0.23). The area of the MVA was 1103.7 ± 307.8 mm^2 and 1131.7 ± 302.0 mm^2 for the TVA(P = 0.41). The MVA and TVA are similar oval structures, but with significantly different heights. The ALPM/AP ratio for the MVA was 1.08 ± 0.33 and 1.09 ± 0.28 for the TVA(P < 0.001). The height for the MVA and TVA was 9.23 ± 2.11 mm and 4.37 ± 1.48 mm, respectively(P < 0.0001). CONCLUSION RT3 D TEE plays an unprecedented role in the management of valvular heart disease. The specific and exclusive shape of the MVA and TVA was revealed in our study of patients studied. Moreover, the intricate codependence of the MVA and the TVA depends on their distinctive shapes. This realization seen from our study will allow us to better understand the role valvular disease plays in disease states such as hypertrophic cardiomyopathy and pulmonary hypertension. 展开更多
关键词 Mitral valve annulus Tricuspid valve annulus three dimensional imaging Real time three-dimensional transesophageal echocardiography
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Application of Opening and Closing Morphology in Deep Learning-Based Brain Image Registration
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作者 Yue Yang Shiyu Liu +4 位作者 Shunbo Hu Lintao Zhang Jitao Li Meng Li Fuchun Zhang 《Journal of Beijing Institute of Technology》 EI CAS 2023年第5期609-618,共10页
In order to improve the registration accuracy of brain magnetic resonance images(MRI),some deep learning registration methods use segmentation images for training model.How-ever,the segmentation values are constant fo... In order to improve the registration accuracy of brain magnetic resonance images(MRI),some deep learning registration methods use segmentation images for training model.How-ever,the segmentation values are constant for each label,which leads to the gradient variation con-centrating on the boundary.Thus,the dense deformation field(DDF)is gathered on the boundary and there even appears folding phenomenon.In order to fully leverage the label information,the morphological opening and closing information maps are introduced to enlarge the non-zero gradi-ent regions and improve the accuracy of DDF estimation.The opening information maps supervise the registration model to focus on smaller,narrow brain regions.The closing information maps supervise the registration model to pay more attention to the complex boundary region.Then,opening and closing morphology networks(OC_Net)are designed to automatically generate open-ing and closing information maps to realize the end-to-end training process.Finally,a new registra-tion architecture,VM_(seg+oc),is proposed by combining OC_Net and VoxelMorph.Experimental results show that the registration accuracy of VM_(seg+oc) is significantly improved on LPBA40 and OASIS1 datasets.Especially,VM_(seg+oc) can well improve registration accuracy in smaller brain regions and narrow regions. 展开更多
关键词 three dimensional(3D)medical image registration deep learning opening operation closing operation MORPHOLOGY
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Bi-prism-based single-lens three dimensional digital image correlation system with a long working distance: Methodology and application in extreme high temperature deformation test 被引量:6
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作者 WU LiFu YIN YuanJie +4 位作者 ZHANG Qi FANG DaiNing ZHANG RuBing ZHU JianGuo XIE HuiMin 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2018年第1期37-50,共14页
As a novel three dimensional digital image correlation (3D DIC) method, the bi-prism-based single lens (BSL) 3D DIC method has been proposed and developed in recent years. Making use ofa bi-prism, this method is a... As a novel three dimensional digital image correlation (3D DIC) method, the bi-prism-based single lens (BSL) 3D DIC method has been proposed and developed in recent years. Making use ofa bi-prism, this method is able to perform a 3D DIC measurement using only a single camera. Thus, the integration level of a BSL 3D DIC system could be much higher than that of the double-camera 3D DIC system. In this paper, using a small-angle bi-prism and a camera with a longer focal length, a special BSL 3D DIC system with a long working distance is designed for measurements in extreme environments. The principle of the system is first studied, and practical methods are then proposed for the system set-up and the determination of system parameters. Then, feasibility of the measurement system is verified by out-of-plane rigid-body translation tests. Finally, the BSL 3D DIC system is proven to be capable of combining with a high-temperature testing instrument to perform deformation tests in a high-temperature environment of up to 1500℃. 展开更多
关键词 three dimensional digital image correlation(3D DIC) single lens bi-prism high temperature deformation measurement
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Squint-mode InISAR imaging based on nonlinear least square and coordinates transform 被引量:5
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作者 LIU ChengLan HE Feng +2 位作者 GAO XunZhang LI Xiang SHEN RongJun 《Science China(Technological Sciences)》 SCIE EI CAS 2011年第12期3332-3340,共9页
Aiming at the interferometric inverse synthetic aperture radar (InlSAR) imaging in the presence of squint, we investigate the influence of squint on the InlSAR imaging. First, coupling of the squint additive phase a... Aiming at the interferometric inverse synthetic aperture radar (InlSAR) imaging in the presence of squint, we investigate the influence of squint on the InlSAR imaging. First, coupling of the squint additive phase and the target azimuth/altitude coordinates to be solved may make the solution more difficult. Second, the squint angle may lead to estimation error of the vertical coordinates and distortion of the ultimate image. Traditional InlSAR imaging algorithms can not solve the above two problems effectively, so we propose a new method which combines the nonlinear least square (NLS) and coordinates transform (CT) to estimate the target coordinates, and a three-dimensional (3-D) image consistent with the real target is obtained accordingly. Simulations show that the proposed method is effective for the squint-mode InlSAR imaging. 展开更多
关键词 interferometric inverse synthetic aperture radar (InlSAR) three dimensional (3-D) imaging squint mode nonlinear least square (NLS) coordinates transform (CT)
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Preoperative surgical planning and simulation of complex cranial base tumors in virtual reality 被引量:12
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作者 YI Zhi-qiang LI Liang MO Da-peng ZHANG Jia-yong ZHANG Yang BAO Sheng-de 《Chinese Medical Journal》 SCIE CAS CSCD 2008年第12期1134-1136,共3页
The extremely complex anatomic relationships among bone, tumor, blood vessels and cranial nervesremains a big challenge for cranial base tumor surgery. Therefore, a good understanding of the patient specific anatomy a... The extremely complex anatomic relationships among bone, tumor, blood vessels and cranial nervesremains a big challenge for cranial base tumor surgery. Therefore, a good understanding of the patient specific anatomy and a preoperative planning are helpful and crucial for the neurosurgeons. Three dimensional (3-D) visualization of various imaging techniques have been widely explored to enhance the comprehension of volumetric data for surgical planning. 展开更多
关键词 cranial base neoplasm three dimensional image virtual reality
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