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Examinando por Autor "Gallego-Ortiz, C. (Cristina)"

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    Fast and accurate computation of the Euclidean distance transform in medical imaging analysis software
    (2014-04-20) Gallego-Ortiz, C. (Cristina)
    Fast and accurate computation of the Euclidean distance map transformation is presented using the python programming language in conjunction with the vtk and itk toolkits. Two algorithms are compared on the basis of their efficiency and computational speed; Saitho algorithm and Danielsson’s four-points Sequential Euclidean Distance (4SED). An algorithm is used to compute a scalar distance map from a 3D data set or volume, which can be used to extract specific distance values. The performance time for the Saitho computation speed was less than the Danielsson’s 4SED computation allowing a faster calculation of the Euclidean distance map. A software analysis application was implemented using the Saitho algorithm for the computation of the scalar distance maps; it also included an underlying segmentation method to allow the computation of Euclidean distance maps on micro-CT images of segmented bone structures. In the future, this application could be used in conjunction with other image processing software applications of bone analysis
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    VirtualEar: Diseño y construcción de un audiómetro virtual
    (2014-04-20) Gallego-Ortiz, C. (Cristina); Ángel-Vélez, J. (Juliana); Zapata-Vanegas, C. (Catalina); Marín-Correa, J. M. (Juan Manuel)
    A virtual audiometer was developed using the virtual instrumentation platform Labview7.1. VirtualEar is a system that permits the evaluation of the audible capacity of a person, through an audiometric prove by air, with masking, to detect the crossed audition. The audiometry is done producing pure tones in the audible frequency’s range (125Hz-8000Hz) with pressure intensity that varies in a range from 0dB to 100dB. Masking consists on sending a white noise signal to the opposite ear of the one that is being tested. Both signals are emitted through two separate channels, and in that way, the threshold of minimum audible pressure is detected. VirtualEar also permits to generate and save the information in tables, graphics and reports. Furthermore, it’s possible to control each patient’s files and print the results.
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