Title :
Radial Radon transform dedicated to micro-object localization from radio frequency ultrasound signal
Author :
Barva, Martin ; Kybic, Jan ; Mari, Jean-Martial ; Cachard, Christian
Author_Institution :
Center for Machine Perception, Czech Tech. Univ., Prague, Czech Republic
Abstract :
In this paper we describe a method for automatic electrode localization in soft tissue from a radiofrequency signal. The method exploits a property of the Radon transform (RT) that allows us to localize a line-segment in 3D data. The method directly processes the radiofrequency (RF) signal provided by the ultrasound (US) probe. Thus, there is no need for ultrasound image reconstruction. The method is able to detect line-segments that are discontinuous. The low computational cost allows us to process data in real-time. The algorithm was tested on a radiofrequency signal acquired by scanning a phantom containing a thin metal electrode of 150 μm in diameter. The experiments show that the developed technique is capable of reliably finding an arbitrarily positioned line-segment in a 3D image.
Keywords :
Radon transforms; biological tissues; biomedical ultrasonics; electrodes; phantoms; probes; 3D data; US probe; automatic electrode localization; discontinuous line-segment detection; micro-object localization; phantom; radial Radon transform; radiofrequency ultrasound signal; soft tissue; thin metal electrode; ultrasound probe; Biological tissues; Computational efficiency; Electrodes; Image reconstruction; Probes; RF signals; Radio frequency; Signal processing; Testing; Ultrasonic imaging;
Conference_Titel :
Ultrasonics Symposium, 2004 IEEE
Print_ISBN :
0-7803-8412-1
DOI :
10.1109/ULTSYM.2004.1418186