A Software Based Novel Approach: Integrated Segmentation & Nuclei Extraction of Overlapped Cervical Cell in High Resolution MRI Images

A Software Based Novel Approach: Integrated Segmentation & Nuclei Extraction of Overlapped Cervical Cell in High Resolution MRI Images

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-49 Number-4
Year of Publication : 2017
Authors : Setu Garg, Shabana Urooj, RituVijay
DOI :  10.14445/22315381/IJETT-V49P233

Citation 

Setu Garg, Shabana Urooj, RituVijay "A Software Based Novel Approach: Integrated Segmentation & Nuclei Extraction of Overlapped Cervical Cell in High Resolution MRI Images", International Journal of Engineering Trends and Technology (IJETT), V49(4),206-211 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
In this paper, we have proposed an algorithm to detect and locate the nuclei from cell masses and then segmentation ofoverlapped cervical in MRI images. Detection of cancerous area with fine boundaries in overlapped cell clusters is an important butchallenging task.In this proposed approach, multiple cell masses are detected from MRI images of overlapped cervical cells by generating superpixels and then multiple thresholding is performed. From cell masses, nuclei of multiple cells are detected and located by applying clustering thresholding. Finally, an integrated active contour algorithm is applied on cell nuclei for segmentation.

 References

[1] http://www.worldcancercongress.org/
[2] Sironi S, Zanello A, Rodighiero MG, Vanzulli A, Taccagni GL, Belloni C, Del Maschio A. Invasive carcinoma of the cervix uteri (Stage IB-IIB). Comparison of CT and MR for the assessment of the parametrium. Radiol Med.81(5):671-7, May 1991.
[3] Kim SH, Choi BI, Han JK,Kim HD, Lee HP, Kang SB, Lee JY, Han MC. Preoperative staging of uterine cervical carcinoma: Comparison of CT and MRI in 99 patients. J Comput AssistTomogr, 17(4):633-40, Jul-Aug1993.
[4] Subak LE, Hricak H, Powell CB, Azizi E, Stern JL. Cervical Carcinoma: Computed tomography and Magnetic resonance imaging for preoperative staging. Obstetrics & Gynecology.86(1):43-50, July 1995.
[5] Parkin DM, Bray FI, &Devesa SS. Cancer burden in the year 2000. The global picture. European journal of cancer, 37(8):S4-66, Oct 2001.
[6] Chan TF, and Vese LA. Active contours without edges. IEEE transactions on Image Processing. 10(2):266-277, Feb 2001.
[7] Rousson M, and Paragios N. Shape Priors for Level Set Representations. European Conference on Computer Vision. LNCS 2351: 78-92, May 2002.
[8] Jeronimo J, and Schiffman M. A Tool for Collection of Region Based Data from Uterine Cervix Images for Correlation of Visual and Clinical Variables Related to Cervical Neoplasia. Computer based medical systems. 17th IEEE Symposium. 558-562, June 2004.
[9] Matas J, Chum O, Urban M,Pajdla T. Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing. 22(10): 761-767, 2004.
[10] Arora S, Acharya J, Verma A, and PrasantaPanigrahi K. Multilevel thresholding for image segmentation through a fast statistical recursive algorithm. Elsevier, Pattern Recognition Letters, 29: 119-125, 2008.
[11] Radau P, Lu Y, Connelly K, Paul G, Dick AJ, and Wright GA. Evaluation framework for algorithms segmenting short axis cardiac MRI. The MIDAS Journal – Cardiac MR Left Ventricle Segmentation Challenge. 2009.
[12] Achanta R, Shaji A, Smith K, Lucchi A, Fua P, and Susstrunk S. Slic superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern analysis Machine Intelligence. 34(11): 2274-2282, Nov 2012.
[13] Nosrati MS, and Hamarneh G. A variational approach for overlapping cell segmentation. Overlapping Cervical Cytology Image Segmentation Challenge – ISBI 2014. 2014.
[14] Ushizima DM, Bianchi AGC, and Carneiro CM. Segmentation of subcellular compartments combining superpixel representation with voronoi diagrams. Overlapping Cervical Cytology Image Segmentation Challenge – ISBI 2014, 2014.
[15] Phoulady HA, Goldgof DB, Hall LO, and Mouton PR. An approach for overlapping cell segmentationin multi-layer cervical cell volumes. Overlapping Cervical Cytology Image Segmentation Challenge – ISBI 2015, 2015.
[16] Ramalho GLB, Ferreira DS, Bianchi AGC, Carneiro CM, Medeiros FNS, and Ushizima DM. Cell reconstruction under voronoi and enclosing ellipses from 3d microscopy. Overlapping Cervical Cytology Image Segmentation Challenge – ISBI 2015, 2015.
[17] Lu Z, carneiro G, and Bradley A. An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells.IEEE Transactions on Image Processing. 24(4): 1261-1272, April 2015.
[18] PatilShweta R, and Patil VS. Similarity measurement using shape feature for image retrieval. IJETT-ICGTETM-N5. Jan 2016.
[19] R. Pradeep Kumar Reddy, Dr. C.Nagaraju,and I. Rajasekhar Reddy. Canny scale edge detection.IJETT- ICGTETM-N3. Jan 2016.

Keywords
Cell Mass, Clustering Thresholding, Integrated Active Contour Method Multiple Thresholding, and Superpixel Generation.