Radial radon transform dedicated to micro-object localization from radio frequency ultrasound signal

Proceedings - IEEE Ultrasonics Symposium

Volumn 3, Issue , 2004, Pages 1836-1839

  Barva, Martin ^a,b   Kybic, Jan ^a   Mari, Jean Martial ^b   Cachard, Christian ^b  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b UNIVERSITÉ DE LYON   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; DATA PROCESSING; ELECTRODES; IMAGE RECONSTRUCTION; IMAGING TECHNIQUES; REAL TIME SYSTEMS; TISSUE; TOMOGRAPHY;

COMPUTATIONAL COSTS; RADIO FREQUENCY ULTRASOUND SIGNALS; RADON TRANSFORM; ULTRASOUND IMAGING;

ULTRASONIC IMAGING;

EID: 21644475783     PISSN: 10510117     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. R. N. Czerwinski. Line and boundary detection in speckle images. IEEE Transactions on Image Processing, 7(12):17001714, 1998.
2. Mingyue D., Cardinal H., Automatic needle segmentation in 3D ultrasound images. Imaging Research Laboratories. The John P. Robarts Research Institute.
3. Muzzolini R., Segmentation of ultrasound images using texture discrimination. Master's thesis, Department of Computer Science. University of Saskatchewan, Saskatoon, Saskatchewan, Canada, S7N 0W0, October 1991.
4. Toft P., The Radon Transform. Theory and Implementation. PhD Thesis, Technical University of Denmark, p. 23-80, (1996).
5. Deans S., The Radon Transform and Some of its Applications. John Wiley and Sons: New York, 1983.
6. Jam J., Jain A., Displacement measurement and its application in interframe image coding. IEEE Trans Comm. COM.29, 1981, pp 1799-1808.