TL;DR: In this article, a scan converter scan converts slices in real-time of a two-dimensional ultrasonic image which form an arbitrary user-defined curve within the 2D image, which is used to display the curve as a time versus depth mmode image.
Abstract: An ultrasonic imaging system having a real-time arbitrary mmode A scan converter scan converts slices in real-time of a two-dimensional ultrasonic image which form an arbitrary user-defined curve within the two-dimensional ultrasonic image The scan converted slices are used to display the curve as a time versus depth mmode image
TL;DR: In this paper, a mmode imaging method and apparatus for an ultrasonic diagnosis device to increase the continuity of the displayed mmode images is presented, which comprises steps: define a sample line on a frame of bmode image, so as to select bmode data of sample points constituting the sample line, convert the sample points obtained from two consecutive frames of Bmode image into two of mmode lines arranged in time order in a mmodes image, generate mmode data that constitute at least one mmodes lines based on the echo data of corresponding sample points on the two
Abstract: The present invention provides a mmode imaging method and apparatus for an ultrasonic diagnosis device to increase the continuity of the displayed mmode images. The mmode imaging method of the invention comprises steps: define a sample line on a frame of bmode image, so as to select bmode data of sample points constituting the sample line; convert the bmode data of the sample points obtained from two consecutive frames of bmode image into two of mmode lines arranged in time order in a mmode image; at predetermined positions between the two mmode lines, generate mmode data that constitute at least one mmode lines based on the echo data of corresponding sample points on the two mmode lines; and image the mmode data in time sequence.
TL;DR: A new memetic multiobjective differential evolution algorithm (MMODE) is proposed to hybridize the local search with differential evolution (DE) algorithm, which performs better than other two MODEs in respects of the accuracy and diversity, especially for the multimodal functions.
Abstract: For the multiobjective problems, some global search methods may fail to find the Pareto optima with both accuracy and diversity. To pursue the two goals at the same time, a new memetic multiobjective differential evolution algorithm (MMODE) is proposed to hybridize the local search with differential evolution (DE) algorithm. The local search is conducted in an independent population to accelerate the search process, while DE can maintain the diversity. In MMODE, we use a new multiobjective Pareto differential evolution (MOPDE). Experimental results show that the MMODE performs better than other two MODEs in respects of the accuracy and diversity, especially for the multimodal functions.
TL;DR: In this paper, the concept of how one country's technological innovation (Japan's NTT DoCoMo wireless web i-Mode) is being translated/implemented into another country (US AT&T Wireless mMode) was examined.
Abstract: In the paper we examine the concept of how one country's technological innovation (Japan’s NTT DoCoMo wireless web i-Mode) is being translated/implemented into another country (US AT&T Wireless’ mMode). We first present a factual overview of the technology, comparing the differing features and dynamics in each country, citing various relevant literatures. In the course of this discussion, we make a series of propositions about the implementation these strategies. Next we discuss further technological transfer between the firms and their strategic significance. We conclude with directions for future research.