Calcaneus Benign Tumor Detection Using Canny Edge Detector

AUTHOR(S):

TITLE

Calcaneus Benign Tumor Detection Using Canny Edge Detector

ABSTRACT

Tumors and tumor-like lesions of the foot are rare. Computed tomography and Magnetic resonance imaging are the most effective method for the early detection of foot and ankle tumors. Researchers have been developing various methods to detect benign tumor. Many image segmentation techniques are available in the literature. Computer Aided Diagnosing (CAD) system has been proposed in this paper for detection of calcaneus benign cancer by the analysis of Computed Tomography (CT) images. Canny edge detection algorithms are the most commonly used techniques in image processing for edge detection. Canny edge detector is evaluated in this paper. The used Computed Tomography images are obtained from Faculty of Medicine, Bezmialem Foundation University. We used “.dicom” medical image standard format. We used male patient's foot CT images computer (65 slices). He was born in 1996. The used parameters are detector collimation of 64x2mm, scanning thickness of 2mm, pixel sizes of 512x512 in radiometric resolution of 16 bits’ gray levels. The image implemented processing steps: (i) calculating the horizontal & vertical gradient, (ii) determining gradient magnitude and gradient direction, (iii) applying non-maximal suppression, (iv) computing high and low thresholds, (v) hysteresis thresholding are applied to the multi-detector computed tomography to detect the benign bone tumor. In this study, automatic edge-based digital image processing techniques were applied to detect of bone tumor. We detect the tumor, segment the tumor and calculate the area of the tumor. We proposed canny segmentation method that enables users to quickly and efficiently segment benign tumors in MDCT of foot. The purpose of our study was to detect the calcaneus tumor of the foot and it was the simplest and less time consuming process.is is a sample of the format of your full paper.

KEYWORDS

Medical Image Processing, Segmentation, Canny, Calcaneus Tumor, CT

REFERENCES

[1] Foo, L.F. and Raby, N., 2005. Tumors and tumor-like lesions in the foot and ankle, Clinical Radiology, 60, pp. 308–332.

[2] Bakotic, B. and Huvos, A.G., 2001. Tumors of the Bones of the Feet: The Clinicopathologic Features of 150 Cases, Journal of Foot & Ankle Surgery, 40(5), pp. 277 -286.

[3] Hasbek Z., Salk I.., Yucel B., Akgul Babacan, N., 2013. Which Imaging Method to Choose for Detection of Bone Metastases? Bone Scintigraphy, CT, 18FFDG PET/CT or MR? Bozok Med J, 3(3), pp. 44-50.

[4] Lodwick, G.S., Haun, C.L., Smith, W.E., Keller, R.F. and Robertson, E.D., 1963. Computer diagnosis of primary bone tumors. A prelim. Report, 80, pp. 273-5.

[5] Canny, J.F., 1983. Finding edges and lines in images, Technical Report AI-TR-720, MIT, Artificial Intelligence Laboratory, Cambridge, MA.

[6] Canny, J.F., 1986. A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), pp. 679-698.

[7] Yogamangalam, R. and Karthikeyan, B., 2013.Segmentation Techniques Comparison in Image Processing, International Journal of Engineering and Technology (IJET), 5(1) (Feb-Mar).

[8] Kizilkaya, A., 2008. Department of Electrical Engineering, Lecture Note, Pamukkale University, Denizli- Turkey.

[9] Gonzalez, R.C. and Woods, R.E., 2007. “Digital Image Processing”, 2nd ed., Beijing: Publishing House of Electronics Industry.

[10] Jepson, A.D. and Fleet, D.J., Edge Detection,2009, http://www.cs.toronto.edu/~jepson/csc2503/ edgeDetection.pdf, 1 Nov 2015.

[11] Rice, B.M., Todd, N.W., Jensen, R., Rush, S.M. and William Rogers, W., 2014. Metastatic Calcaneal Lesion Associated with Uterine Carcinosarcoma, The Journal of Foot & Ankle Surgery, 53, pp. 364–368.

[12] Ozer, D., Er, T., Aycan O.E., Oke, R., Coskun, M. and Kabukcuoglu, Y.S., 2014. May bone cement be used to treat benign aggressive bone tumors of the feet with confidence? The Foot, 24, pp. 1–5.

Cite this paper

Hatice Catal Reis. (2017) Calcaneus Benign Tumor Detection Using Canny Edge Detector. International Journal of Oncology and Cancer Therapy, 2, 20-23