Biomedical Engineering Reference
In-Depth Information
14. Sawaki A, Shimamoto K, Satake H, Ishigaki T, Koyama S, Obata Y, IkedaM. 1999. Breast ultra-
sonography: diagnostic efficacy of a computer-aided diagnostic system using fuzzy inference.
Radiat Med
17
(1):41-45.
15. Rohling RN, Gee AH, Berman L. 1998. Automatic registration of 3D ultrasound images.
Ultrasound Med Biol
24
(6):841-854.
16. Suri JS, Liu K, Singh S, Laxminarayan SN, Zeng X, Reden L. 2002. Shape recovery algorithms
using level sets in 2D/3D medical imagery: a state-of-the-art review.
IEEE Trans Inf Technol
Biomed
6
(1):8-28.
17. Suri JS, Singh S, Reden L. 2002. Fusion of region and boundary/surface-based computer vision
and pattern recognition techniques for 2D and 3D MR cerebral cortical segmentation (Part II):
a state-of-the-art review.
Pattern Anal Appl
5
(1):77-98.
18. Suri JS, Wu D, Reden L, Gao J, Singh S, Laxminarayan S. 2001. Modeling segmentation via
geometric deformable regularizers, PDE and level sets in still/motion imagery: a revisit.
Int
J Image Graphics
1
(4):681-734.
19. Sethian JA. 1999.
Level set methods and fast marching methods: evolving interfaces in compu-
tational geometry, fluid mechanics, computer vision, and materials science
, 2nd ed. Cambridge:
Cambridge UP.
20. Sethian JA, Vemuri BC, Malladi BC. 1995. Shape modeling with front propagation: a level set
approach.
IEEE Trans Pattern Anal Machine Intell
17
(2):158-175.
21. Sussman M, Fatemi E. 1999. An efficient, interface-preserving level set redistancing algorithm
and its application to interfacial incompressible fluid flow.
SIAM J Sci Comput
20
(4):1165-
1191.
22. Moon WK, Chang RF, Chen CJ, Chen DR, Chen WL. 2005. Solid breast masses: classification
with computer-aided analysis of continuous US images obtained with probe compression.
Radiology
236
(2):458-464.
23. Chang RF, Wu WJ, Moon WK, Chen DR. 2005. Automatic ultrasound segmentation and mor-
phology based diagnosis of solid breast tumors.
Breast Cancer Res Treat
89
(2):179-185.
24. Suri JS. 2001. Fast MR brain segmentation using regional level sets.
Int J Eng Med Biol
20
(4):84-95.
25. Suri JS, Singh S, Reden L. 2002. Computer vision and pattern recognition techniques for 2D
and 3DMR cerebral cortical segmentation (part I): a state-of-the-art review.
IEEE Trans Pattern
Anal Machine Intell
5
(1):46-76.
26. Chang RF, Chen DR, Huang YL. 2006. Computer-aided diagnosis for 2d/3d breast ultrasound.
In
Recent advances in breast imaging, mammography, and computer-aided diagnosis of breast
cancer
, pp. 112-196. Ed JS Suri, RM Rangayyan. Bellingham, WA: SPIE.
27. Stavros AT, Thickman D, Rapp CL, Dennis MA, Parker SH, Sisney GA. 1995. Solid breast
nodules: use of sonography to distinguish between benign and malignant lesions.
Radiology
196
(1):123-134.
28. Cespedes I, Ophir J, Ponnekanti H, Maklad N. 1993. Elastography: elasticity imaging using
ultrasound with application to muscle and breast in vivo.
Ultrason Imaging
15
(2):73-88.
29. Ophir J, Cespedes I, Ponnekanti H, Yazdi Y, Li X. 1991. Elastography: a quantitative method
for imaging the elasticity of biological tissues.
Ultrason Imaging
13
(2):111-134.
30. Horsch K, Giger ML, Vyborny CJ, Venta LA. 2004. Performance of computer-aided diagnosis
in the interpretation of lesions on breast sonography.
Acad Radiol
11
(3):272-280.
31. Chen CM, Chou YH, Han KC, Hung GS, Tiu CM, Chiou HJ, Chiou SY. 2003. Breast lesions on
sonograms: computer-aided diagnosis with nearly setting-independent features and artificial
neural networks.
Radiology
226
(2):504-514.
32. Osher S, Sethian J. 1988. Fronts propagating with curvature-dependent speed: Algorithms
based on the Hamilton-Jacobi formulation.
J Comput Phys
79
(1):12-49.
33. Sethian JA. 1990. Numerical algorithms for propagating interfaces: Hamilton-Jacobi equations
and conservation laws.
J Differ Geom
31
:131-161.