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Breathe New Life Into Your Chest CT Exams: Using Advanced Acquisition and Postprocessing Techniques

CURRENT PROBLEMS IN DIAGNOSTIC RADIOLOGY 2019年第2期48卷 152-160页

作者： Weber, Nikkole M. Koo, Chi Wan Yu, Lifeng Bartholmai, Brian J. Halaweish, Ahmed F. McCollough, Cynthia H. Fletcher, Joel G. Mayo Clin Dept Radiol 200 First St SW Rochester MN 55905 USA Siemens Healthineers Malvern PA USA

Objective: Chest computed tomography (CT) imaging enables detailed visualization of the pulmonary structures and diseases. This article reviews how continued innovation and improvements in modern CT system hardware and software now facilitate a wider range of image acquisition options and generate unique qualitative and quantitative information that can benefit patients Results: Dual energy imaging utilizes two x-ray energies to highlight differences in tissue properties and increase iodine signal to improve diagnosis or reduce metal artifacts. Ultra-low dose imaging can be performed by using additional x-ray beam filtration, such as a tin filter, combined with iterative reconstruction algorithms to benefit lung cancer screening or pediatric imaging. Ultra-fast pitch spiral acquisition improves temporal resolution and reduces motion artifacts. Higher spatial resolution acquisition and reconstruction methods permit improved visualization of small structures. Radiomic analysis of chest CT image features permits risk stratification of pulmonary nodules and masses and reliable measures of change in pulmonary architecture and disease. Conclusions: Multiple new CT acquisition and reconstruction techniques, along with advanced post processing methods permit detailed analysis of changes in pulmonary architecture and function, and an expanded ability to adapt chest CT to the unique needs of different patients. (C) 2018 Elsevier Inc. All rights reserved.

关键词： reconstruction algorithm chest ct temporal resolution Lung X-Ray Computed Tomography early detection of lung cancer

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Total variation denoising in coloured noise 25

Total variation denoising in coloured noise

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Solo, V Macquarie Univ Dept Stat Sydney NSW 2109 Australia

ISBN: (纸本)0780362934

We consider total variation denoising in the presence of coloured noise. We show that noise can sometimes but not always cause major problems with reconstruction. We suggest that signal to noise ratio is not the crucial factor, rather the spectral content of the noise is crucial. We show how to modify the reconstruction algorithm to deal with coloured noise as well as how to do automatic tuning parameter selection.

关键词： Colored noise reconstruction algorithm Noise reduction

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MMSE reconstruction for 3D Freehand Ultrasound Imaging

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INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING 2008年第unknown期2008卷 274164页

作者： Huang, Wei Zheng, Yibin Univ Virginia Dept Elect & Comp Engn Charlottesville VA 22904 USA GE Healthcare Waukesha WI 53188 USA

The reconstruction of 3D ultrasound (US) images from mechanically registered, but otherwise irregularly positioned, B-scan slices is of great interest in image guided therapy procedures. Conventional 3D ultrasound algorithms have low computational complexity, but the reconstructed volume suffers from severe speckle contamination. Furthermore, the current method cannot reconstruct uniform high-resolution data from several low-resolution B-scans. In this paper, the minimum mean-squared error (MMSE) method is applied to 3D ultrasound reconstruction. Data redundancies due to overlapping samples as well as correlation of the target and speckle are naturally accounted for in the MMSE reconstruction algorithm. Thus, the reconstruction process unifies the interpolation and spatial compounding. Simulation results for synthetic US images are presented to demonstrate the excellent reconstruction. Copyright (C) 2008 W. Huang and Y. Zheng.

关键词： .Volume slices reconstruction algorithm Ultrasound Imaging Conventional ultrasound MMSE method spatial compounding

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Compressive Sensing in Image/Video Compression: Sampling, Coding, reconstruction, and Codec Optimization

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INFORMATION 2024年第2期15卷 75-75页

作者： Zhou, Jinjia Yang, Jian Hosei Univ Grad Sch Sci & Engn Tokyo 1848584 Japan

Compressive Sensing (CS) has emerged as a transformative technique in image compression, offering innovative solutions to challenges in efficient signal representation and acquisition. This paper provides a comprehensive exploration of the key components within the domain of CS applied to image and video compression. We delve into the fundamental principles of CS, highlighting its ability to efficiently capture and represent sparse signals. The sampling strategies employed in image compression applications are examined, emphasizing the role of CS in optimizing the acquisition of visual data. The measurement coding techniques leveraging the sparsity of signals are discussed, showcasing their impact on reducing data redundancy and storage requirements. reconstruction algorithms play a pivotal role in CS, and this article reviews state-of-the-art methods, ensuring a high-fidelity reconstruction of visual information. Additionally, we explore the intricate optimization between the CS encoder and decoder, shedding light on advancements that enhance the efficiency and performance of compression techniques in different scenarios. Through a comprehensive analysis of these components, this review aims to provide a holistic understanding of the applications, challenges, and potential optimizations in employing CS for image and video compression tasks.

关键词： compressive sensing sampling measurement coding reconstruction algorithm codec optimization

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MEASURING THE FULLY VECTORIAL NATURE OF LIGHT AT THE NANOSCALE

MEASURING THE FULLY VECTORIAL NATURE OF LIGHT AT THE NANOSCA...

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Photonics North 2015

作者： Banzer, Peter Bauer, Thomas Orlovas, Sergejus Leuchs, Gerd Max Planck Inst Sci Light Erlangen Germany Friedrich Alexander Univ Erlangen Nuremberg Dept Phys Erlangen Germany Univ Ottawa Dept Phys Ottawa ON Canada

ISBN: (纸本)9781467368063

The experimental reconstruction of phase and amplitude distributions of highly confined light fields is of utmost importance for a multitude of scientific research areas. Here, we present a particle-based experimental approach and reconstruction algorithm for the fully vectorial field reconstruction and discuss its applications. This method allows for reconstruction with deep sub-wavelength resolution. Furthermore, we introduce the extension of this scheme for the reconstruction of purely evanescent fields.

关键词： nanoscale Reconstructive Surgical Procedures Light fields reconstructions reconstruction algorithm Light Vector field Phase and Amplitude amplitude distribution scientific research

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Comparative reconstructions of THz Spectroscopic Imaging for Non-Destructive Testing and Biomedical Imaging

Comparative Reconstructions of THz Spectroscopic Imaging for...

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Conference on Terahertz Physics, Devices and Systems VI - Advanced Applications in Industry and Defense

作者： Baughman, William E. Wilbert, David S. Balci, Soner Bolus, Michael Baker, Mathieu Kung, Patrick Kim, Seongsin M. Heimbeck, Martin S. Everitt, Henry O. Univ Alabama Dept Elect & Comp Eng Tuscaloosa AL 35487 USA Aviat & Missile RD&E Ctr Charles M Bowden Res Ctr Redstone Arsenal AL USA Univ Alabama Dept Opt Sci & Engn Huntsville AL USA

ISBN: (纸本)9780819490414

Imaging with electromagnetic radiation in the THz frequency regime, between 0.2 THz and 10 THz, has made considerable progress in recent years due to the unique properties of THz radiation, such as being non-ionizing and transparent through many materials. This makes THz imaging and sensing promising for a plethora of applications;most notably for contraband detection and biomedical diagnostics. Though many methods of generation and detection terahertz radiation exist, in this study we utilize Terahertz Time Domain Spectroscopy (THz TDS) and THz digital holography using a coherent, tunable CW THz source. These methods enable access to both the amplitude and phase information of the traveling THz waves. As a result of the direct time-resolved detection method of the THz electric field, unique spectroscopic information about the objects traversed can be extracted from the measurements in addition to being able to yield intensity imaging contrast. Utilizing such capabilities for THz based imaging can be useful for both screening and diagnostic applications. In this work, we present the principles and applications of several reconstruction algorithms applied to THz imaging and sensing. We demonstrate its ability to achieve multi-dimensional imaging contrast of both soft tissues and concealed objects.

关键词： Terahertz Imaging THz TDS THz Digital Holography Near-Field Imaging reconstruction algorithm

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A New Method for 3D City Map Generation

A New Method for 3D City Map Generation

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IEEE International Workshop on Signal Processing Systems (SiPS)

作者： Zhang, Xiaodan Jiang, Guang Ai, Da Xidian Univ Sch Telecommun Engn State Key Lab Integrated Serv Networks Xian 710071 Shaanxi Peoples R China Xian Univ Posts & Telecommun Minist Publ Secur Key Lab Elect Informat Applicat Technol Site Surv Xian 710121 Shaanxi Peoples R China

ISBN: (纸本)9781467396042

3D city map has been well studied in recent years. Ground laser scanner or airborne lidar are often used to collect 3D information in traditional 3D city map generation methods. As these systems are specially designed, they are usually expensive and complicate for mass marketing. This paper proposes a simple and fast 3D city map generation method, which relies on image-based reconstruction algorithms and the 2D satellite map. Firstly, we reconstruct the buildings and get the top-view outlines of buildings. Secondly, we use the coherent point drift (CPD) method to register the points on the top-view outlines with the points on the edges extracted from the 2D satellite map. Thus, the reconstructed 3D buildings can be exactly located in the satellite map. The experiment results demonstrate the validity of our method.

关键词： Aerial views MAPPING(MATHEMATICAL) maps Buildings city satellites reconstruction algorithm laser scanners built structure Three Dimensions new methods

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A Non-Linear Iterative Method for Multi-Layer DOT Sub-Surface Imaging System 36

A Non-Linear Iterative Method for Multi-Layer DOT Sub-Surfac...

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36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Hou, Hsiang-Wen Wu, Shih-Yang Sun, Hao-Jan Fang, Wai-Chi Natl Chiao Tung Univ Dept Elect Engn Hsinchu Taiwan Natl Chiao Tung Univ Inst Biomed Engn Hsinchu Taiwan

ISBN: (纸本)9781424479290

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.

关键词： reconstruction algorithm Iterative Method Three Dimensional Diffuse Optical Tomography Spatial Resolution Monte Carlo

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Sparsity Aware Nonlinear Multichannel Ultrasonic Tomographic Imaging

Sparsity Aware Nonlinear Multichannel Ultrasonic Tomographic...

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IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)

作者： Dong, Chengdong Jin, Yuanwei Lu, Enyue Shanghai Univ Finance & Econ Shanghai 200433 Peoples R China Univ Maryland Eastern Shore Engn & Aviat Sci Princess Anne MD 21853 USA Salisbury Univ Math & Comp Sci Salisbury MD 21801 USA

ISBN: (纸本)9781467310710

This paper presents an accelerate projected steepest descent method for nonlinear ultrasonic tomographic imaging with sparsity constraints in a multiple-input multiple-output configuration. The proposed method introduces the emerging MIMO signal processing techniques and sparsity constrained image reconstruction methods to the traditional computational imaging field, thus significantly improves the speed of image formation compared with conventional imaging method while achieving high quality images. Using numerical examples, we demonstrate the success of the proposed algorithm.

关键词： steepest descent method Tomography Image formation Image quality image method Awareness nonlinearity reconstruction algorithm

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A new three-dimensional elastography using phase based shifted Fourier transform

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Medicine in Novel Technology and Devices 2022年第4期16卷 323-334页

作者： Hadis Faraji Alireza Shirazinodeh Najmeh Meimani Hossein Ahmadi Noubari Bahador Makki Abadi Research Center for Molecular and Cellular Imaging Imam Khomeini HospitalTehranIran Department of Biomedical Engineering Science and Research BranchIslamic Azad UniversityTehranIran Department of Medical Physics and Biomedical Engineering Tehran University of Medical ScienceTehranIran Department of Electrical and Computer Engineering University of British ColumbiaCanada

Elastography is an imaging technique with the ability to determine low quantities of some of the mechanical properties of *** aim of our research is to design a new 3D algorithm using the Shifted Fourier Transform(SFT)to perform a quasi-static *** innovative idea is implementation of a 3D convolution instead of using three 2D *** first,we collected the raw data from Abaqus engineering software in the form of breast tissue with a coefficient of elasticity of healthy tissue and tumor tissue with a coefficient of elasticity of tumor *** primary raw data consists of a number of points with x,y and z specified for tumor and healthy breast *** this step,we simulated the displacements in directions of x,y and z at each point of the prescribed tissues for 15 mm displacement of probe in–Y direction then we collected 1831 points for tumor and 4186 points for breast before and after *** applying a novel reconstruction algorithm,we convolved all images with the 3D Gabor filters to obtain phases,represented displacements of the breast and tumor images for before and after *** reach this goal,we designed a Gabor filter bank based on the dimensions of the input images in different scales,directions,and *** the 3D SFT,we calculated the displacements of the breast and tumor tissues followed by 3D elastogram representation of the ***,we implemented a 2D analysis of SFT in order to investigate validation of the 3D *** 2D algorithm,we used three two-dimensional convulsions in XY,YZ and XZ *** results obtained from the small displacements marked by circles,confirmed the accuracy of the 3D SFT *** areas of interest are the tumor areas in the 2D analysis.

关键词： 3D elastography 3D shifted Fourier Transform 3D and 2D Gabor filters Breast and tumor tissues reconstruction algorithm

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