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Showing 1-25 of 18,194 resultsfor "Index Terms":2D image
"Index Terms":2D image
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Dynamic 2D Ultrasound and 3D CT Image Registration of the Beating Heart
Xishi Huang;John Moore;Gerard Guiraudon;Douglas L. Jones;Daniel Bainbridge;Jing Ren;Terry M. Peters
Two-dimensional ultrasound (US) is widely used in minimally invasive cardiac procedures due to its convenience of use and noninvasive nature. However, the low quality of US images often limits their utility as a means for guiding procedures, since it is often difficult to relate the images to their anatomical context. To improve the interpretability of the US images while maintaining US as a flexi...Show More
A Multiplexed 32 × 32 2D Matrix Array Transducer for Flexible Sub-Aperture Volumetric Ultrasound Imaging
Ningyuan Wang;Yu Qiang;Chaorui Qiu;Yiliang Chen;Xingying Wang;Yue Pan;Rong Liu;Weichang Wu;Hairong Zheng;Weibao Qiu;Zhiqiang Zhang
A fully-sampled two-dimensional (2D) matrix array ultrasonic transducer is essential for fast and accurate three-dimensional (3D) volumetric ultrasound imaging. However, these arrays, usually consisting of thousands of elements, not only face challenges of poor performance and complex wiring due to high-density elements and small element sizes but also put high requirements for electronic systems....Show More
Geodesic geometric flow for medical image segmentation based on similarities of interfacial gradients
Yi Shen;Xiaoqiu Dong;Chunhui Zhu;Qiang Wang;Jiasheng Hao;Naizhang Feng
2009 IEEE Instrumentation and Measurement Technology Conference
Year: 2009 | Conference Paper |
For 3D medical images with strong similarities of interfacial gradients, a method is presented to bring local regional characteristics of segmented sections into adjacent sections waiting for segmentation and to guide the contour curves of the later to converge to actual boundary. The proposed method improves the stopping criterion of curve evolution through introduction of adjacent layer's prior ...Show More
Toward Wearable Healthcare: A Miniaturized 3D Imager With Coherent Frequency-Domain Photoacoustics
Siyu Liu;Kai Tang;Xiaohua Feng;Haoran Jin;Fei Gao;Yuanjin Zheng
Medical monitoring is undergoing a translation from the hospital-based system to the personalized home-based system. With the aim of wearable application of photoacoustic technique, we propose a miniaturized photoacoustic 3D imager for superficial medical imaging. By employing the compact continuous-wave laser diode based optical irradiation and an ultrathin 2D matrix array based photoacoustic det...Show More
Three-dimensional surface reconstruction using optical flow for medical imaging
The recovery of a three-dimensional (3-D) model from a sequence of two-dimensional (2-D) images is very useful in medical image analysis. Image sequences obtained from the relative motion between the object and the camera or the scanner contain more 3-D information than a single image. Methods to visualize the computed tomograms can be divided into two approaches: the surface rendering approach an...Show More
Image Stitching Using Structure Deformation
The aim of this paper is to achieve seamless image stitching without producing visual artifact caused by severe intensity discrepancy and structure misalignment, given that the input images are roughly aligned or globally registered. Our new approach is based on structure deformation and propagation for achieving the overall consistency in image structure and intensity. The new stitching algorithm...Show More
Sensorless and real-time registration between 2D ultrasound and preoperative images of the liver
Duhgoon Lee;Woo Hyun Nam;Donggyu Hyun;Jae Young Lee;Jong Beom Ra
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Year: 2010 | Conference Paper |
Synchronization between real-time ultrasound (US) and preoperative images can provide much information for US-guided intervention. For the synchronization, we present a real-time registration system between the two images of the liver without any help of sensors. In this system, we first generate a 4D preoperative image, which is composed of multiple 3D images along the respiration, by considering...Show More
In image-guided therapy, high-quality preoperative images serve for planning and simulation, and intraoperatively as "background", onto which models of surgical instruments or radiation beams are projected. The link between a preoperative image and intraoperative physical space of the patient is established by image-to-patient registration. In this paper, we present a novel 3-D/2-D registration me...Show More
Zone axis images recorded using high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM or Z-contrast imaging) reveal the atomic structure with a resolution that is defined by the probe size of the microscope. In most cases, the full images contain many sub-images of the crystal unit cell and/or interface structure. Thanks to the repetitive nature of these images, it is...Show More
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming
Joong-Ho Won;Yongkweon Jeon;Jarrett K. Rosenberg;Sungroh Yoon;Geoffrey D. Rubin;Sandy Napel
Direct projection of 3D branching structures, such as networks of cables, blood vessels, or neurons onto a 2D image creates the illusion of intersecting structural parts and creates challenges for understanding and communication. We present a method for visualizing such structures, and demonstrate its utility in visualizing the abdominal aorta and its branches, whose tomographic images might be ob...Show More
Enhancing Segmentation Efficiency: A 2D U-Net Approach with 3D-to-2D Conversion for Medical Image Analysis
2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
The efficient and reliable segmentation of three dimensional (3D) medical images is a critical task in many diagnostic and therapy operations. Traditional segmentation methods frequently entail training sophisticated 3D models, which can be computationally and time-consuming. In this paper, we suggest a novel segmentation approach that involves transforming three- dimensional (3D) images into two-...Show More
Medical Image Segmentation Based on an Improved 2D Entropy
2009 Fourth International Conference on Computer Sciences and Convergence Information Technology
Year: 2009 | Conference Paper |
Cited by: Papers (1)
Medical image segmentation is the basis of medical image three-dimension reconstruction. The accuracy of image segmentation directly affects the results of image 3D reconstruction. Medical image is a kind of grayscale image. In order to adequately utilize gray information and spatial information of image, the traditional 2D gray histogram is improved and forms the 2D D-value attribute gray histogr...Show More
Clinical microwave breast imaging — 2D results and the evolution to 3D
P. M. Meaney;M. W. Fanning;T. Zhou;A. Golnabi;S. D. Geimer;K. D. Paulsen
2009 International Conference on Electromagnetics in Advanced Applications
Year: 2009 | Conference Paper |
Cited by: Papers (18)
The incidence of breast cancer and associated deaths are a recognized world health problem. Conventional screening approaches such as x-ray mammography, ultrasound and increasingly contrast-enhanced MRI are life saving to many women. However, the sensitivity and specificity of these modalities are still limited and there is clearly room for alternatives. Microwave imaging is a potentially importan...Show More
Reconstruction of Cellular Biological Structures from Optical Microscopy Data
Kishore Mosaliganti;Lee Cooper;Richard Sharp;Raghu Machiraju;Gustavo Leone;Kun Huang;Joel Saltz
Developments in optical microscopy imaging have generated large high-resolution data sets that have spurred medical researchers to conduct investigations into mechanisms of disease, including cancer at cellular and subcellular levels. The work reported here demonstrates that a suitable methodology can be conceived that isolates modality-dependent effects from the larger segmentation task and that ...Show More
Registration is an important problem and a fundamental task in image processing technique. in the medical image processing fields, some techniques are proposed to find a geometrical transformation that relates the points of an image to their corresponding points of another image. In recent years, multimodality image registration techniques are proposed in the medical imaging field. Especially, CT ...Show More
Saliency Detection for Stereoscopic Images
Yuming Fang;Junle Wang;Manish Narwaria;Patrick Le Callet;Weisi Lin
Many saliency detection models for 2D images have been proposed for various multimedia processing applications during the past decades. Currently, the emerging applications of stereoscopic display require new saliency detection models for salient region extraction. Different from saliency detection for 2D images, the depth feature has to be taken into account in saliency detection for stereoscopic...Show More
Simple Possibilities of 2D DCT Application in Digital Monochrome Image Cryptography
2007 17th International Conference Radioelektronika
Year: 2007 | Conference Paper |
Cited by: Papers (1)
Any images are result of some previous photochemical or photoelectric processes. The main image information content, from the HVS viewing point, is focused in whole colorimetric (color hue and saturation, brightness, contrast) and spatial (resolution and sharpness) information. The aim for all conventional or standard image-processing methods is to improve colorimetric and spatial image parameters...Show More
An improved 2D-3D medical image registration algorithm based on modified mutual information and expanded Powell method
2013 IEEE International Conference on Medical Imaging Physics and Engineering
Year: 2013 | Conference Paper |
Cited by: Papers (5)
An accurate two-dimensional-three-dimensional (2D-3D) image registration method is introduced in this paper, which is used in image-guided surgery to detect and correct patient movement during image-guided intervention treatment. In this paper, we decompose a 3D rigid transformation in the 3D patient coordinate into in-plane transformations and out-of-plane rotations in two orthogonal 2D projectio...Show More
A Dual-Mode 2D Matrix Array for Ultrasound Image-Guided Noninvasive Therapy
Zhiqiang Zhang;Rong Liu;Guofeng Li;Min Su;Fei Li;Hairong Zheng;Weibao Qiu
Focused ultrasound (FUS) lacks reliable real-time image guidance, which hinders the development of non-invasive ultrasound treatment in many important clinical applications. A dual-mode ultrasound array, capable of both imaging and therapy offers a new and reliable strategy for image-guided ultrasound therapy applications. The strategy has the advantages of real-time use, low cost, portability and...Show More
Image Registration based on Neural Network and Fourier Transform
2006 International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2006 | Conference Paper |
Cited by: Papers (14)
An image registration technique based on feed forward neural network and Fourier Transform is developed and presented. In the proposed scheme, the spectrums of the acquired images are computed, the Fourier coefficients within a selected central window of each spectrum are extracted and fed as inputs to the neural network. The feed forward neural network is implemented to estimate the transformatio...Show More
An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
Minimum cut/maximum flow algorithms on graphs have emerged as an increasingly useful tool for exactor approximate energy minimization in low-level vision. The combinatorial optimization literature provides many min-cut/max-flow algorithms with different polynomial time complexity. Their practical efficiency, however, has to date been studied mainly outside the scope of computer vision. The goal of...Show More
Euclidean Skeletons of Digital Image and Volume Data in Linear Time by the Integer Medial Axis Transform
A general algorithm for computing Euclidean skeletons of 2D and 3D data sets in linear time is presented. These skeletons are defined in terms of a new concept, called the integer medial axis (IMA) transform. We prove a number of fundamental properties of the IMA skeleton, and compare these with properties of the CMD (centers of maximal disks) skeleton. Several pruning methods for IMA skeletons ar...Show More
3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images
Endovascular image-guided interventions (EIGI) involve navigation of a catheter through the vasculature followed by application of treatment at the site of anomaly using live 2D projection images for guidance. 3D images acquired prior to EIGI are used to quantify the vascular anomaly and plan the intervention. If fused with the information of live 2D images they can also facilitate navigation and ...Show More
Effective Image Retrieval Based on Hidden Concept Discovery in Image Database
This paper addresses content-based image retrieval in general, and in particular, focuses on developing a hidden semantic concept discovery methodology to address effective semantics-intensive image retrieval. In our approach, each image in the database is segmented into regions associated with homogenous color, texture, and shape features. By exploiting regional statistical information in each im...Show More
High resolution imaging techniques will play an essential role in the future smart imaging applications to provide potential solutions for accurate detection, monitoring and classification of the target. The potential of synthetic aperture radar (SAR) systems to acquire high resolution images has opened new frontiers and led to its exploration in new applications. The conventional microwave radar ...Show More
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