Segmentation of kidney cortex in MRI studies: A constrained morphological 3D h-maxima transform approach

International Journal of Medical Engineering and Informatics

Volumn 1, Issue 3, 2009, Pages 330-341

  Shen, Weijia ^a   Kassim, Ashraf A ^a,c   Koh, H K ^a,d   Shuter, Borys ^b,e  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NATIONAL UNIVERSITY HOSPITAL   (Singapore)

^c Faculty of Engineering   (Singapore)

^d Kulicke and Soffa   (Singapore)

^e NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

3d h maxima transform; Canny edge detection; Contrast agent; Kidney cortex segmentation; Magnetic resonance imaging; MRI

Indexed keywords

ALGORITHM; CONTRAST ENHANCEMENT; HUMAN; IMAGE PROCESSING; INTESTINE; KIDNEY CORTEX; LIVER; NUCLEAR MAGNETIC RESONANCE IMAGING; REVIEW; SPLEEN; THREE DIMENSIONAL IMAGING; UROGRAPHY;

EID: 77953378328     PISSN: 17550653     EISSN: 17550661     Source Type: Journal    
DOI: 10.1504/IJMEI.2009.022644     Document Type: Review

References (17)

1. Canny, J. (1986) 'A computational approach to edge detection', IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.8, pp.679-714.
2. Duda, R.O. and Hart, P.E. (1973) Pattern Classification and Scene Analysis, Wiley, New York.
3. Gonzalez, C. and Woods, E. (2002) Digital Image Processing, 2nd ed., Prentice Hall.
4. Grattan-Smith, J.D., Perez-Bayfield, M.R., Jones, R.A., Little, S., Broecker, B., Smith, E.A., Scherz, H.C. and Kirsch, A.J. (2003) 'MR imaging of kidneys: functional evaluation using F-15 perfusion imaging', Pediatr Radiol, Vol.33, No.5, pp.293-304. (Pubitemid 36700951)
5. Kim, S.H., Yoo, S.W., Kim, S.J., Kim, J.C. and Park, J.W. (2000) 'Segmentation of kidney without using contrast medium on abdominal CT image', 5th International Conference on Signal Processing, Beijing, China, Vol.2, pp. 1147-1152.
6. Manjori, R., Joshua, S., Yueh-Yun, C., Keith, M., Gregg, T., Stephen, P.M. and Edward, C.L. (2005) 'Comparison of human and automatic segmentations of kidneys from CT images', International Journal of Radiation Oncology Biology Physics, Vol.61, pp.954-960. (Pubitemid 40247996)
7. Pham, D.L. and Bazin, P.L. (2004) 'Simultaneous boundary and partial volume estimation in medical images', Proceedings Medical Image Computing and Computer-Assisted Intervention, pp.119-126.
8. Prewitt, J.M.S. (1970) Picture Processing and Psychpictorics, B.S. Lipkin and A. Rosenfeld (Eds.), Academic Press, New York.
9. Salembier, P. (1993) 'Multi-criterion segmentation for image coding', in J. Serra and P. Salembier (Eds.): 1st Workshop on Math. Morph, and its Appl. to Signal Process, Barcelona, Spain, pp.40-45.
10. Salembier, P. and Serra, J. (1995) 'Flat zones filtering, connected operators and filters by reconstruction', IEEE Transaction on Image Processing, Vol.3, pp.1153-1160.
11. Serra, J. and Salembier, P. (1993) 'Connected operators and pyramids', SPIE Image Algebra and Math. Morph., San Diego, Vol.2030, pp.65-76.
12. Soille, P. (1999) Morphological Image Analysis: Principles and Applications, pp. 170-171, Springer-Verlag.
13. Song, T., Lee, V.S., Rusinek, H., Sajous, J.B. and Laine, A.F. (2005) 'Registration and segmentation of dynamic three-dimensional MR renography based on Fourier representations and K-means clustering', International Society for Magnetic Resonance in Medicine (ISMRM) 13th Scientific Meeting, Miami Beach, Florida, USA., pp.442 and 2266.
14. Sun, Y., Moura, J.M.F., Yang, D., Ye, Q. and Ho, C. (2002) 'Kidney segmentation in MRI sequences using temporal dynamics', IEEE International Symposium on Bioimaging, Washington DC, pp.98-101.
15. Tsagaan, B., Shimizu, A., Kobatake, H., Miyakawa, K. and Hanzawa, Y. (2001) 'Segmentation of kidney by using a deformable model', International Conference of Image Processing, Greece, Vol.3,pp.l059-1062. (Pubitemid 33058171)
16. Vincent, L. (1993) 'Morphological grayscale reconstruction in image analysis: applications and efficient algorithms', IEEE Transactions on Image Processing, Vol.2, pp. 176-201.
17. Yang, J., Staib, L.H. and Duncan, J. (2004) 'Neighbor-constrained segmentation with level set based 3-D deformable models', IEEE Transaction on Medical Imaging, Vol.23, No.8, pp.940-948.