The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Plaque composition analysis is a critical tool in identifying vulnerable atherosclerotic plaques. Intravascular ultrasound with spectral analysis of the backscattered radio frequency (RF) signals (IVUS-VH) is currently considered as the gold standard for the evaluation of coronary plaque composition, while CT coronary angiography (CTA) has been proposed as a potential non-invasive counterpart. In...
In this study, we aim at reconstructing single photon emission computed tomography (SPECT) images using a Bayesian framework to incorporate anatomical information from magnetic resonance (MR) as a priori knowledge about the activity distribution. This is achieved using an anatomically-driven Bowsher prior (BP). Standard BP has the potential to obtain similar results as other state-of-the-art prior...
Interventional treatment becomes increasingly popular since this technique means substantially less trauma for the patient. In this paper, we focus on providing three dimensional visualization models and relative information to help doctors in diagnosis and clinic. And also it gives doctors a virtual interventional treatment planning software. It is worthy to note is the segmentation module. There...
The process of single section 2D/3D registration one by one based on the whole bone registration is presented. After linear interpolation, the original 3D CT data had the same resolution in all three direction and the CT volume data is segmented by manual. After calibration x-ray film scene, the digitally reconstructed radiographs(DRRs) are got using "Ray Tracing" algorithm and interpolation...
The generation of digitally reconstructed radiographs (DRRs) is a significant procedure in several medical imaging applications such as 2D/3D image registration. Also, digitally reconstructed radiographs play an important role in modern radiation therapy. They are planar X-rays that can be generated from the same data sets used for the planning CT scan, taken with the patient in the treatment position...
Registration of 3D facial surfaces means establishing point-to-point correspondence between two 3D facial surfaces. Difficulties typical for the registration of 3D facial surfaces are varying illumination, pose or viewpoint changes, varying facial expressions, and different appearance of individuals. In this work we propose to use a covariance matrix as descriptor for the neighborhood of a salient...
Texture mapping is useful for constructing a three-dimensional (3D) model because a realistic 3D model can be obtained efficiently and quickly. This paper proposes a system to construct a 3D model using range intensity images. A range intensity image, which is also called a reflectance image, refers to the intensity image that is acquired simultaneously with the range image captured using an active...
The acquisition of Diffusion Weighted MR images may be confounded by both patient motion and machine eddy currents, these may potentially be corrected by image registration. Two non-rigid registration schemes are compared to the result of an affine registration: a single fluid registration of the individual diffusion directions and a Progressive Principal Component Registration. All registrations...
This work discusses the use of breathing patterns present in time sequences of MR images in the temporal registration of coronal and sagittal images. The registration is done without the use of any triggering information and any special gas to enhance the contrast. The temporal sequences of images are acquired in free breathing. As coronal and sagittal sequences of images are orthogonal to each other,...
In this paper, we propose an automatic system for robust alignment of 2D optical images with 3D LiDAR (light detection and ranging) data. Focusing on applications such as data fusion and rapid updating for GIS (geographic information systems) from diverse sources when accurate georeference is not available, our goal is a vision-based approach to recover the 2D to 3D transformation including orientation,...
Non-rigid registration of 3D facial surfaces is a crucial step in a variety of applications. Outliers, i.e., features in a facial surface that are not present in the reference face, often perturb the registration process. In this paper, we present a novel method which registers facial surfaces reliably also in the presence of huge outlier regions. A cost function incorporating several channels (red,...
This work presents a novel approach to registering multiple range images on top of a Google Maps image. The fundamental concept behind the method is matching completely different types of input with each other using classification as a middleman. Range images and Google Maps images are separated into classes, and the range image is also projected into a 2D top-down template image. The template image...
In the recent years, 3D face recognition has emerged as a major solution to deal with the unsolved issues for reliable 2D face recognition, i.e. lighting condition and viewpoint variations. However, 3D method is currently limited by its registration and computation cost. In this paper, we propose to investigate a solution named asymmetric face recognition scheme, enrolling people in 3D environment...
In this paper, we propose a feature-based registration algorithm for the confocal fluorescence images captured by an endomicroscopy system. We first extract a number of feature points from the endomicroscopy images by applying the binarization-thinning process and using the Rutovitz crossing number. These feature points are then post-processed to eliminate the spurious ones. After that we use the...
Face recognition from video has been extensively studied in recent years. Intuitively, video provides more information than a single image. But problems such as variation in pose and occlusion still remain. When a face is partially occluded, handling the occluded part of the face is an especially challenging task. In this paper, we propose a novel method to recognize a face from video based on face...
Descriptions of root internal structure are often limited to 2D cross-sections, with little information about three dimensions, and the evolution of xylem vessels along root axis has not been clearly presented. A computer-aided 3D-reconstruction method was developed based on paraffin serial slices techniques. The image processing protocol involved slice images alignment, registration, and 3D reconstruction...
This paper describes a new approach to automatic detection and 3D measurement of a rectangular solid in a single image shot under two imaging conditions. We find its six outer vertices in the image by searching the largest convex hexagon with a sufficiently small back projection error, and determine their 3D coordinates by using the rectangularity constraint. Experimental results show the accuracy...
This paper introduces a novel similarity measure for 3D rigid registration algorithms that use comparison between image-based descriptors in order to find correspondences between two partial 3D point clouds belonging to the same object. Unlike the similarity measures based on correlation coefficient, joint entropy, mutual information or others that have been used by the most popular 3D registration...
Range scans produced by LiDAR (Light Detection and Ranging) intrinsically suffer from ??shadows?? of missing data cast on surfaces by occluding objects. In this paper, we show how a single additional image of the scene from a different perspective can be used to automatically fill in high-detail structure in these shadow regions. The technique is inspired by inpainting algorithms from the computer...
Previous works that employed an automatic registration of multiple range views resorted to the use of corresponding 3D matching points in order to compute relative orientations. False 3D matches were detected by verifying their compliance with the parameteres of the orientation's mathematical model computed in 3D space. In this research we introduce a new method to detect correct 3D matches. This...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.