Region of interest

About: Region of interest is a research topic. Over the lifetime, 7895 publications have been published within this topic receiving 104479 citations. The topic is also known as: ROI.

Quantitative evaluation method of cosmetic efficacy based on time series image c

Abstract: The invention discloses a quantitative evaluation method of cosmetic efficacy based on time series image comparison, which is characterized in that the method comprises the following steps: an image is read, and a time series skin image is read; skin image layout displays, according to the chronological order, the skin image original image display; Selecting a region of interest ROI and displayingcontents of the region of interest ROI of all images; Regions of interest ROI alignment, automatic or manual ROI matching, ROI alignment of all images; Feature calculation, calculating the ROI of theregion of interest of the characteristics of the data, cosmetics efficacy quantitative evaluation. The invention can quantitatively evaluate cosmetic efficacy by using time series skin images.

A Novel Spatio-Temporal Frequency-Domain Imaging Technique for Two-Layer Materials Using Ultrasonic Arrays

Abstract: Ultrasonic imaging of multi-layer materials with parallel interfaces is a challenging problem in non-destructive testing. In multi-layer materials, since the sound velocity and the propagation path change when sound travels from one layer into another, calculating the sound travel time is complicated. In this paper, we develop a frequency-domain imaging algorithm for estimating the scattering coefficients of all the points inside the second layer of a two-layer (liquid-solid) medium in order to obtain an image of the region of interest. To do so, we first introduce our data model for the array received signals by modeling the interfaces between the layers of a two-layer medium as a spatially distributed source. Then, we introduce a mapping relationship between the two-dimensional image of the region of interest and the three-dimensional Fourier transform of the received signals. This proposed algorithm has relatively lower computational complexity and it can be used for online imaging. Computer simulations as well as experimental data show the accuracy of the proposed algorithm.

Statistical error analysis based on non-parametric bootstrap method of quantitative MBF measurement with H/sub 2//sup 15/O/spl I.bar/PET

Abstract: Knowledg of the precision in the physiological parameters estimated by positron emission tomography (PET) is helpful for optimizing PET study and accurate diagnosis. Nonparametric bootstrap method proposed by Buvat is re- sampling techniques that can be used to accurately estimate the statistical properties of PET images in one scan and determine statistics of pixel values. The standard deviation (SD) of time activity curves (TAC) generated by region of interests (ROI) also are estimated by using the bootstrap method and the SD would propagate to estimated parameters such as blood flow. In order to evaluate the present method, a PET study for myocardial blood flow (MBF) measurement with H2 15 O_PET was performed. The statistical properties of MBF were estimated and the effects of scan-duration time and ROI size on the SD of MBF were developed. statistical properties of PET images in a single scan. The bootstrap approach is a computer-based statistical method for determining the accuracy of a statistic from experimental data (6). Buvat estimated statistical properties for PET and single photon emission computed tomography (SPECT) successfully using non-parametric bootstrap method (7). Noise estimates in reconstructed images could be introduced into quantitative data analysis to account for the uncertainty of pixel and region of interest (ROI) values. This study investigated the precision in the MBF with H2 15 O_PET using statistical properties expressed by bootstrapped images of a single acquisition. Using the concept of the non-parametric bootstrap method, we developed a method to know the standard deviation (SD) and coefficient of variation (COV) of estimated parameters of MBF, PTF, and arterial blood volume with H2 15 O_PET. A PET study with one pig was performed in order to evaluate the present technique. Strategies for scan duration and ROI selection were also investigated with the effect of SD and COV indicated by present method.

Method for automatic management of e.g. two-dimensional image of region of interest of user via information flow network during surgical intervention, involves storing image such that image is classified for being easily exploitable

Abstract: The method involves acquiring an image of a region of interest of a user using an image acquisition platform (1), and identifying characteristics of the image. Analysis protocol parameters adapted to the characteristics of the image, are selected for processing the image using an image processing platform (3), where the analysis protocol parameters are defined by a user from a terminal (5) e.g. fixed computer. The processed image is stored such that the processed image is separated for being easily exploitable. An independent claim is also included for a system for automatic management of images via a network, comprising an image platform.