Skip to main content
Have a personal or library account? Click to login
Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images Cover

Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images

Measurement Science Review
Volume 13 (2013): Issue 6 (December 2013)
By: ,  ,   and    
Open Access
|Jan 2014
References

References

  1. [1] Acharya, R., Wasserman, R., Stevens, J., Hinojosa, C. (1995). Biomedical imaging modalities: a tutorial. Computerized Medical Imaging and Graphics 19(1), 3-25.
    Open DOISearch in Google Scholar
  2. [2] Tay, P. C., Acton, S. T., Hossack, J. A. (2011). A wavelet thresholding method to reduce ultrasound artifacts.Computerized Medical Imaging and Graphics 35(1), 42-50.
    Open DOISearch in Google Scholar
  3. [3] Sun, Q., Hossack, J. A., Tang, J., Acton, S. T. (2004).Speckle reducing anisotropic diffusion for 3d ultrasound images. Computerized Medical Imaging and Graphics 28(8), 461-470.
    Open DOISearch in Google Scholar
  4. [4] Notomi, Y., Lysyansky, P., Setser, R. M., Shiota, T., Popovic, Z. B., Martin-Miklovic, M. G., Weaver, J. A., Oryszak, S. J., Greenberg, N. L., White, R. D., Thomas, J. D. (2005). Measurement of ventricular torsion by two-dimensional ultrasound speckle tracking imaging.Journal of the American College of Cardiology 45(12), 2034-2041.
    Open DOISearch in Google Scholar
  5. [5] Jayasree, V. K., Sandhya, T. V., Radhakrishnan, P. (2008). Non-invasive studies on age related parameters using a blood volume pulse sensor. Measurement Science Review 8, 82-86.
    Open DOISearch in Google Scholar
  6. [6] Hlimonenko, I., Meigas, K., Vahisalu, R. (2003). Waveform analysis of peripheral pulse wave detected in the finger tip with photoplethysmograph. Measurement Science Review 3, 49-52.
    Search in Google Scholar
  7. [7] Tuytelaars, T., Mikolajczyk, K. (2008). Local Invariant Feature Detectors: A Survey. Hanover, MA, USA: Now Publishers Inc.
    Search in Google Scholar
  8. [8] Mital, P., Smith, T., Hill, R., Henderson, J. (2011).Clustering of gaze during dynamic scene viewing is predicted by motion. Cognitive Computation 3, 5-24.
    Open DOISearch in Google Scholar
  9. 10.1007/s12559-010-9074-z.
    Open DOISearch in Google Scholar
  10. [9] McEachen, J. C., I., Duncan, J. S. (1997). Shape-based tracking of left ventricular wall motion. IEEE Trans.Med. Imag. 16(3), 270-283.
    Open DOISearch in Google Scholar
  11. [10] Mailloux, G. E., Bleau, A., Bertrand, M., Petitclerc, R. (1987). Computer analysis of heart motion from twodimensional echocardiograms. IEEE Trans. Biomed.Eng. BME-34(5), 356-364.
    Open DOISearch in Google Scholar
  12. [11] Friedland, N., Adam, D. (1989). Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing. IEEE Trans. Med.Imag. 8(4), 344-353.
    Open DOISearch in Google Scholar
  13. [12] Cinthio, M., Ahlgren, A. R., Jansson, T., Eriksson, A., Persson, H. W., Lindstrom, K. (2005). Evaluation of an ultrasonic echo-tracking method for measurements of arterial wall movements in two dimensions. IEEE Trans.\Ultrason., Ferroelectr., Freq. Control 52(8), 1300-1311.
    Open DOISearch in Google Scholar
  14. [13] Cinthio, M., Ahlgren, A. R., Bergkvist, J., Jansson, T., Persson, H. W., Lindstrom, K. (2006). Longitudinal movements and resulting shear strain of the arterial wall.American Journal of Physiology - Heart and Circulatory Physiology 291(1), H394-H402.
    Open DOISearch in Google Scholar
  15. [14] Andrea, Giachetti (1998). On-line analysis of echocardiographic image sequences. Medical Image Analysis 2(3), 261-284.
    Open DOISearch in Google Scholar
  16. [15] Riha, K., Potucek, I. (2009). The sequential detection of artery sectional area using optical flow technique. In: Proceedings of The 8th WSEAS International Conference on CIRCUITS, SYSTEMS, ELECTRONICS, CONTROL & SIGNAL PROCESSING. pp. 222-226.
    Search in Google Scholar
  17. [16] Riha, K., Benes, R. (2011). Testing of methods for artery section area detection. In: Proceedings of the 10th WSEAS international conference on Telecommunications and informatics and microelectronics, nanoelectronics, optoelectronics, and WSEAS international conference on Signal processing. Stevens Point, Wisconsin, USA. pp. 184-187.
    Search in Google Scholar
  18. [17] Kelly, A. S., Kaiser, D. R., Dengel, D. R., Bank, A. J. (2004). Comparison of b-mode and echo tracking methods of assessing flow-mediated dilation. Ultrasound in Medicine & Biology 30(11), 1447-1449.
    Open DOISearch in Google Scholar
  19. [18] Liao, J., Bettmann, M., Sandor, T., Tucker, J., Coleman, S., Creager, M. (1991). Differential impairment of vasodilator responsiveness of peripheral resistance and conduit vessels in humans with atherosclerosis. Circulation Research 68(4), 1027-1034.
    Open DOISearch in Google Scholar
  20. [19] Persson, M., Ahlgren, A. R., Jansson, T., Eriksson, A., Persson, H. W., Lindstrom, K. (2003). A new noninvasive ultrasonic method for simultaneous measurements of longitudinal and radial arterial wall movements: first in vivo trial. Clinical Physiology and Functional Imaging 23(5), 247-251.
    Open DOISearch in Google Scholar
  21. [20] Nishizawa, O., Matsuzaki, A., Kohama, T., Suzuki, T., Noto, H. (1985). Noninvasive screening procedure for evaluation of bladder emptying function. Tohoku J. Exp.Med. 147(4), 421-525.
    Open DOISearch in Google Scholar
  22. [21] Sebe, N., Lew, M. S. (2003). Comparing salient point detectors. Pattern Recognition Letters 24, 89-96.
    Open DOISearch in Google Scholar
  23. [22] Pedersen, K. S., Loog, M., van Dorst, P. (2007). Salient point and scale detection by minimum likelihood. In: Gaussian Processes in Practice. pp. 59-72.
    Search in Google Scholar
  24. [23] Pedersen, K. S. (2003). Properties of brownian image models in scale-space. In: Griffin, L. D., Lillholm, M. (eds.) Scale-Space, Vol. 2695 of Lecture Notes in Computer Science. pp. 281-296.
    Search in Google Scholar
  25. [24] Schmid, C., Mohr, R., Bauckhage, C. (2000). Evaluation of interest point detectors. Int. J. Comput. Vision 37, 151-172.
    Open DOISearch in Google Scholar
  26. [25] Mikolajczyk, K., Schmid, C. (2004). Scale & affine invariant interest point detectors. Int. J. Comput. Vision 60(1), 63-86.
    Open DOISearch in Google Scholar
  27. [26] Zukal, M., Cika, P., Burget, R. (2011). Evaluation of interest point detectors for scenes with changing lightening conditions. In: Telecommunications and Signal Processing (TSP) 2011, 34th International Conference. pp. 579-583.
    Search in Google Scholar
  28. [27] Tissainayagam, P., Suter, D. (2004). Assessing the performance of corner detectors for point feature tracking applications. Image and Vision Computing 22, 663-679.
    Open DOISearch in Google Scholar
  29. [28] Lindeberg, T. (1994). Scale-space theory: A basic tool for analysing structures at different scales. Journal of Applied Statistics, 224-270.
    Open DOISearch in Google Scholar
  30. [29] Harris, C., Stephens, M. (1988). A combined corner and edge detection. In: Proceedings of The Fourth Alvey Vision Conference. pp. 147-151.
    Search in Google Scholar
  31. [30] Bay, H., Tuytelaars, T., Gool, L. V. (2006). Surf: Speeded up robust features. In: In ECCV. pp. 404-417.
    Search in Google Scholar
  32. [31] Viola, P., Jones, M. (2002). Robust real-time object detection.International Journal of Computer Vision 57(2), 137-154.
    Open DOISearch in Google Scholar
  33. [32] Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91-110.
    Open DOISearch in Google Scholar
  34. [33] Casella, I., Presti, C., Porta, R., Sabbag, C., Bosch, M., Yamazaki, Y. (2008). A practical protocol to measure common carotid artery intima-media thickness. Clinics 63(4), 515-20.
    Open DOISearch in Google Scholar
  35. [34] Burget, R., Karasek, J., Smekal, Z., Uher, V., Dostal, O. (2010). Rapidminer image processing extension: A platform for collaborative research. In: International Conference on Telecommunications and Signal Processing.Baden, Austria. pp. 114-118.
    Search in Google Scholar
  36. [35] Gossow, D., Decker, P., Paulus, D. (2010). An evaluation of open source surf implementations. In: RobuCup. pp. 169-179.
    Search in Google Scholar
  37. [36] Evans, C. (2009). Notes on the opensurf library. Technical report, University of Bristol.
    Search in Google Scholar
DOI: https://doi.org/10.2478/msr-2013-0049 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 329 - 338
Published on: Jan 14, 2014
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
B-mode ultrasound,
Gaussian noise,
interest point detector,
repeatability rate,
speckle noise,
speckle tracking
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2014 Martin Zukal, Radek Beneš, Petr Číka, Kamil Říha, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.

Volume 13 (2013): Issue 6 (December 2013)
Previous article