Open Access

Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images

[1] Acharya, R., Wasserman, R., Stevens, J., Hinojosa, C. (1995). Biomedical imaging modalities: a tutorial. Computerized Medical Imaging and Graphics 19(1), 3-25.10.1016/0895-6111(94)00043-3Search in Google Scholar

[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), 42-50.10.1016/j.compmedimag.2010.09.003302383720934848Search in Google Scholar

[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), 461-470.10.1016/j.compmedimag.2004.08.00115541953Search in Google Scholar

[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), 2034-2041.10.1016/j.jacc.2005.02.08215963406Search in Google Scholar

[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, 82-86.10.2478/v10048-008-0020-0Search in Google Scholar

[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] Tuytelaars, T., Mikolajczyk, K. (2008). Local Invariant Feature Detectors: A Survey. Hanover, MA, USA: Now Publishers Inc.Search in Google Scholar

[8] Mital, P., Smith, T., Hill, R., Henderson, J. (2011).Clustering of gaze during dynamic scene viewing is predicted by motion. Cognitive Computation 3, 5-24.10.1007/s12559-010-9074-zSearch in Google Scholar

10.1007/s12559-010-9074-z.10.1007/s12559-010-9074-zSearch in Google Scholar

[9] McEachen, J. C., I., Duncan, J. S. (1997). Shape-based tracking of left ventricular wall motion. IEEE Trans.Med. Imag. 16(3), 270-283.10.1109/42.5857619184889Search in Google Scholar

[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), 356-364.10.1109/TBME.1987.325967Search in Google Scholar

[11] Friedland, N., Adam, D. (1989). Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing. IEEE Trans. Med.Imag. 8(4), 344-353.10.1109/42.4148718230534Search in Google Scholar

[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), 1300-1311.10.1109/TUFFC.2005.1509788Search in Google Scholar

[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-H402.10.1152/ajpheart.00988.2005Search in Google Scholar

[14] Andrea, Giachetti (1998). On-line analysis of echocardiographic image sequences. Medical Image Analysis 2(3), 261-284.10.1016/S1361-8415(98)80023-6Search in Google Scholar

[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

[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

[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), 1447-1449.10.1016/j.ultrasmedbio.2004.08.019Search in Google Scholar

[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), 1027-1034.10.1161/01.RES.68.4.1027Search in Google Scholar

[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), 247-251.10.1046/j.1475-097X.2003.00504.xSearch in Google Scholar

[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), 421-525.10.1620/tjem.147.421Search in Google Scholar

[21] Sebe, N., Lew, M. S. (2003). Comparing salient point detectors. Pattern Recognition Letters 24, 89-96.10.1016/S0167-8655(02)00192-7Search in Google Scholar

[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

[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

[24] Schmid, C., Mohr, R., Bauckhage, C. (2000). Evaluation of interest point detectors. Int. J. Comput. Vision 37, 151-172.10.1023/A:1008199403446Search in Google Scholar

[25] Mikolajczyk, K., Schmid, C. (2004). Scale & affine invariant interest point detectors. Int. J. Comput. Vision 60(1), 63-86.10.1023/B:VISI.0000027790.02288.f2Search in Google Scholar

[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

[27] Tissainayagam, P., Suter, D. (2004). Assessing the performance of corner detectors for point feature tracking applications. Image and Vision Computing 22, 663-679.10.1016/j.imavis.2004.02.001Search in Google Scholar

[28] Lindeberg, T. (1994). Scale-space theory: A basic tool for analysing structures at different scales. Journal of Applied Statistics, 224-270.10.1080/757582976Search in Google Scholar

[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

[30] Bay, H., Tuytelaars, T., Gool, L. V. (2006). Surf: Speeded up robust features. In: In ECCV. pp. 404-417.Search in Google Scholar

[31] Viola, P., Jones, M. (2002). Robust real-time object detection.International Journal of Computer Vision 57(2), 137-154.10.1023/B:VISI.0000013087.49260.fbSearch in Google Scholar

[32] Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91-110.10.1023/B:VISI.0000029664.99615.94Search in Google Scholar

[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), 515-20.10.1590/S1807-59322008000400017266412918719764Search in Google Scholar

[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

[35] Gossow, D., Decker, P., Paulus, D. (2010). An evaluation of open source surf implementations. In: RobuCup. pp. 169-179.Search in Google Scholar

[36] Evans, C. (2009). Notes on the opensurf library. Technical report, University of Bristol. Search in Google Scholar

eISSN:
1335-8871
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Engineering, Electrical Engineering, Control Engineering, Metrology and Testing