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1.
Annu Int Conf IEEE Eng Med Biol Soc ; 2019: 5855-5861, 2019 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-31947183

RESUMO

This paper presents an accurate and robust tracking vision algorithm for Fetoscopic Laser Photo-coagulation (FLP) surgery for Twin-Twin Transfusion Syndrome (TTTS). The aim of the proposed method is to assist surgeons during anastomosis localization, coagulation and review using a tele-operated robotic system. The algorithm computes the relative position of the fetoscope tool tip with respect to the placenta, via local vascular structure registration. The algorithm uses image features (local superficial vascular structures of the placenta's surface) to automatically match consecutive fetoscopic images. It is composed of three sequential steps: image processing (filtering, binarization and vascular structures segmentation); relevant Points Of Interest (POIs) seletion; and image registration between consecutive images. The algorithm has to deal with the low quality of fetoscopic images, the liquid and dirty environment inside the placenta jointly with the thin diameter of the fetoscope optics and low amount of environment light reduces the image quality. The obtained images are blurred, noisy and with very poor color components. The tracking system has been tested using real video sequences of FLP surgery for TTTS. The computational performance enables real time tracking, locally guiding the robot over the placenta's surface with enough accuracy.


Assuntos
Transfusão Feto-Fetal , Fetoscopia , Fotocoagulação a Laser , Robótica , Algoritmos , Feminino , Humanos , Placenta , Gravidez
2.
IEEE Trans Syst Man Cybern B Cybern ; 41(2): 435-47, 2011 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-21411399

RESUMO

This paper presents a study on how the application of scaling techniques to an interface affects its performance. A progressive scaling factor based on the position and velocity of the cursor and the targets improves the efficiency of an interface, thereby reducing the user's workload. The study uses several human-motor models to interpret human intention and thus contribute to defining and adapting the scaling parameters to the execution of the task. Two techniques addressed to vary the control-display ratio are compared, and a new method for aiding in the task of steering is proposed.


Assuntos
Inteligência Artificial , Técnicas de Apoio para a Decisão , Sistemas Homem-Máquina , Modelos Biológicos , Movimento/fisiologia , Análise e Desempenho de Tarefas , Interface Usuário-Computador , Algoritmos , Simulação por Computador , Humanos
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