Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

A mobile terminal including a body; a touchscreen provided to a front and extending to side of the body and configured to display content; and a controller configured to detect one side of the body comes into contact with one side of an external terminal, display a first area on the touchscreen corresponding to a contact area of the body and the external terminal and a second area including the content, receive an input of moving the content displayed in the second area to the first area, display the content in the first area, and share the content in the first area with the external terminal.

Mobile terminal and method for controlling the same

Display screen or portion thereof with transitional graphical user interface

A mobile terminal and a method of controlling a mobile terminal may be provided. The mobile terminal may include a display to display one of a plurality of wallpapers including at least one icon; and a controller to display at least two of the plurality of wallpapers and a plurality of preview screens corresponding to the plurality of wallpapers on the display upon reception of an input of moving at least one icon, moving of the at least one icon being displayed on the displayed wallpapers and preview screens. The mobile terminal can display a movement of icon being displayed on the displayed wallpapers and preview screens. Accordingly, a user may intuitively recognize a location of icon and effectively move a location of icon.

Mobile terminal and method of controlling the same

Curve-skeletons are thinned 1D representations of 3D objects useful for many visualization tasks including virtual navigation, reduced-model formulation, visualization improvement, animation, etc. There are many algorithms in the literature describing extraction methodologies for different applications; however, it is unclear how general and robust they are. In this paper, we provide an overview of many curve-skeleton applications and compile a set of desired properties of such representations. We also give a taxonomy of methods and analyze the advantages and drawbacks of each class of algorithms.

/pdf/curve-skeleton-properties-applications-and-algorithms-8n6p5tz4yb.pdf

Curve-Skeleton Properties, Applications, and Algorithms

A user terminal device and a displaying method thereof are provided The user terminal device includes a display configured to display a first screen on a display which is divided by a folding line into a first area and a second area, the second area being larger than the first area with reference to a folding line and including an exposure area that is exposed while the display is folded along the folding line such that the first area faces the second area, a detector configured to detect, while the first screen is displayed, a first folding interaction of folding the display such that the first area faces the second area and a second folding interaction of folding the display such that a first cover corresponding to the first area faces a second cover corresponding to the second area, and a controller configured to, in response to detecting the first folding interaction, display a second screen related to the first screen on the exposure area, and in response to the second folding interaction being detected, display a third screen related to the first screen on the first area or the second area

User terminal device and displaying method thereof

The registration of a three-dimensional (3D) ultrasound (US) image with a computed tomography (CT) or magnetic resonance image is beneficial in various clinical applications such as diagnosis and image-guided intervention of the liver. However, conventional methods usually require a time-consuming and inconvenient manual process for pre-alignment, and the success of this process strongly depends on the proper selection of initial transformation parameters. In this paper, we present an automatic feature-based affine registration procedure of 3D intra-operative US and pre-operative CT images of the liver. In the registration procedure, we first segment vessel lumens and the liver surface from a 3D B-mode US image. We then automatically estimate an initial registration transformation by using the proposed edge matching algorithm. The algorithm finds the most likely correspondences between the vessel centerlines of both images in a non-iterative manner based on a modified Viterbi algorithm. Finally, the registration is iteratively refined on the basis of the global affine transformation by jointly using the vessel and liver surface information. The proposed registration algorithm is validated on synthesized datasets and 20 clinical datasets, through both qualitative and quantitative evaluations. Experimental results show that automatic registration can be successfully achieved between 3D B-mode US and CT images even with a large initial misalignment.

http://iopscience.iop.org/article/10.1088/0031-9155/57/1/69/pdf

Automatic registration between 3D intra-operative ultrasound and pre-operative CT images of the liver based on robust edge matching

It is clinically important to quantify the geometric parameters of an abnormal vessel, as this information can aid radiologists in choosing appropriate treatments or apparatuses. Centerline and cross-sectional diameters are commonly used to characterize the morphology of vessel in various clinical applications. Due to the existence of stenosis or aneurysm, the associated vessel centerline is unable to truly portray the original, healthy vessel shape and may result in inaccurate quantitative measurement. To remedy such a problem, a novel method using an active tube model is proposed. In the method, a smoothened centerline is determined as the axis of a deformable tube model that is registered onto the vessel lumen. Three types of regions, normal, stenotic, and aneurysmal regions, are defined to classify the vessel segment under-analyzed by use of the algorithm of a cross-sectional-based distance field. The registration process used on the tube model is governed by different region-adaptive energy functionals associated with the classified vessel regions. The proposed algorithm is validated on the 3-D computer-generated phantoms and 3-D rotational digital subtraction angiography (DSA) datasets. Experimental results show that the deformed centerline provides better vessel quantification results compared with the original centerline. It is also shown that the registered model is useful for measuring the volume of aneurysmal regions.

Three-Dimensional Blood Vessel Quantification via Centerline Deformation

This letter presents a robust similarity measure for registering charged-couple device (CCD) and infrared (IR) images. The measure is based on the entropy obtained from a 3-D joint histogram incorporating edginess and modified generalized gradient vector flow (GGVF). To make a reliable mapping relationship between the edge regions of two images, the concept of edginess was adopted so registration performance would be affected mainly by gradient existences rather than their magnitudes. In addition, by adopting the GGVF, we relaxed a narrow capture range problem in conventional gradient-based measures. Experimental results showed that the proposed measure performs more robustly than existing measures.

Dong-goo Kang

Papers

User terminal device and displaying method thereof

Automatic registration between 3D intra-operative ultrasound and pre-operative CT images of the liver based on robust edge matching

Three-Dimensional Blood Vessel Quantification via Centerline Deformation

Robust CCD and IR Image Registration Using Gradient-Based Statistical Information

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