Multiparameter segmentation and quantization of brain tumor from MRI images

Indian Journal of Science and Technology

Volumn 2, Issue 2, 2009, Pages 11-15

  Ratan, Rajeev ^a   Sharma, Sanjay ^b   Sharma, S K ^a  

^a Apeejay College of Engineering   (India)

^b THAPAR UNIVERSITY   (India)

Author keywords

Brain tumor; MATLAB; MRI

Indexed keywords

EID: 84863104094     PISSN: 09746846     EISSN: 09745645     Source Type: Journal    
DOI: 10.17485/ijst/2009/v2i2/29385     Document Type: Article

References (24)

1. Abbasi S and Mokhtarian F (2001) Affine-similar shape retrieval: application to multiview 3-D object recognition. IEEE Trans. Image processing. 10 (1), 31-139.
2. Abdel-Halim Elamy and Maidong Hu (2007) Mining brain tumors & their growth rates. IEEE Image Processing Society Journal. pp: 872-875.
3. Bailet JW, Alan Lichtenstein, Ge Chen and Robert A. Mickel (1997) Inhibition of lymphocyte function by head and neck carcinoma cell line soluble factors. Arch Otolaryngol Head Neck Surg. 123(8), 855-862.
4. Bailet JW, Abemayor E, Jabour BA, Hawkins RA, Hoh CK and Ward PH (1992) Positron emission tomogarphy: a new precise modality for detection of primary head and neck tumor and assessment of cervical adenopathy. Laryngosope. 102, 281-288.
5. Black PM, Moriarty T and Alexander E (1997) Development and implementation of intraoperative magnetic resonance imaging and its neurosurgical applications. Neurosurgery. 41(4), 831-845.
6. Bountris P, Farantatos E and Apostolou N (2005) Advanced image analysis tool development for the early stage bronchial cancer detection. PWASET. 9, 151-156.
7. Deng Y, Manjunath BS, Kenney C, Moore MS and Shin H (2001) An efficient color representation for image retrieval. IEEE Trans. Image Processing. 10 (1), 140-147.
8. th Annual International IEEE EMBS Conference. 3122-3125.
9. Epifano I and Ayala G (2002) A random set view of texture classification. IEEE Trans. Image Processing. 11(8), 859-867.
10. Fadi Abu Amara and Abdel Qadar (2007) Detection of breast cancer using independent component analysis. IEEE EIT Proceedings. 236-241.
11. Gering D, Eric W, Grimson L and Kikinis R (2002) Recognizing deviations from normalcy for brain tumor segmentation. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Tokyo Japan.pp:388-395 (http://link.springer.de/link/service/series/0558/bibs/2488/24880388.htm).
12. Gupta R and Undril P (1995) The use of texture analysis to delineate suspicious masses in mammograohy. Physics in Medicine & Biology. 40, 835-855.
13. Haney SM, Thompson PM, Cloughesy TF, Alger JR and Toga AW (2001) Tracking tumor growth rates in patients with malignant gliomas: a test of two algorithms. AJNR Am. J. Neuroradiology. 22, 73-82.
14. Hinz M, Pohle R, Shin H and Tonnies KD (2002) Region-based interactive 3D image analysis of structures in medical data by hybrid rendering. Proc. SPIE in Visualization, Image-Guided Procedures, and Display. 4681, 388-395.
15. Jason J. Corso, Eitan Sharon and Shishir Dube (2008) Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model Classification. IEEE Transaction on Medical Imaging. 27, 148-155.
16. Jolesz FA (1997) Image-guided procedures and the operating room of the future. Radiology. 204, 601-612.
17. Krishnan K and Atkins MS (1998) Segmentation of multiple sclerosis lesions in MRI-an image analysis approach. Proc of the SPIE Medical Imaging. 338, 1106-1116.
18. Lihua Li, Weidong Xu, Zuobao Wu, Angela Salem and Claudia Berman (2007) A new computerized method for missed cancer detection in screening mammography. Proc. IEEE Natnl. Conf. on Integration Technol. pp: 21-25.
19. th Annual Intnl. Conf. IEEE EMBS. 5259-5262.
20. Nakajima S, Atsumi H and Bhalerao AH (1997) Computer-assisted surgical planning for cerebrovascular neurosurgery. Neurosurgery. 41, 403-409.
21. Radu Calinescu and Steve Harris (2007) Model driven architecture for cancer research. IEEE Intnl. Conf. Software Engg. Formal Methods. pp: 59-68.
22. Senaratne GG, Richard B. Keam, Winston L. Sweatman and Greame C. Wake (2006) Solution to the 2 dimensional boundary value problem for microwave breast tumor detection. IEEE Microwave & Wireless Component Letters. 16(10), 343-348.
23. Vailaya S, Figueriodo MAT, Jain AK, and Zhang HJ (2001) Image classification for content-based Indering. IEEE Trans. Image processing. 10(1), 117-130.
24. Yao Yao (2004) Segmentation of breast cancer mass in mammograms and detection using Magnetic Resonance Imaging. IEEE Image Processing Soc. J. pp: 561-567.