Image Processing Reference
In-Depth Information
OA before registration
1,000
OA after registration
0,950
0,900
0,850
1
5
9
13
17
21
25
Frames
29
33
37
FIGURE 7.11 OA index before and after registration.
The quantitative OA index was introduced in order to measure algorithm
effectiveness in a quantitative way. The results show that misalignments and
artifacts introduced by patient movement during the examination are greatly
reduced.
REFERENCES
1.
Hajnal, J.V., Hill, D.L.G., and Hawkes, D.J. (2001). View of the future. in Hajnal,
J.V., Hill, D.L.G., Hawkes, D.J., (Eds.), Medical Image Registration . Boca Raton,
FL: CRC.
2.
Hill, D.L.G., Batchelor, P.G., Holden, M., and Hawkes, D.J. (2001). Medical image
registration. Phys. Med. Biol. 46: R1-R45.
3.
Jenkinson, M. and Smith, S. (2001). The role of registration in functional magnetic
resonance imaging. in Hajnal, J.V., Hill, D.L.G., and Hawkes, D.J., (Eds.), Medical
Image Registration . Boca Raton, FL: CRC.
4.
Ashburner, J. and Friston, K.J. (2000). Image registration. in Functional MRI ,
Moonen, C.T.W., Bandettini, P.A., (Eds.), Springer.
5.
Pluim, J.P.W. and Fitzpatrick, J.M. (2003). Image registration. IEEE Trans. Med.
Imaging 22(11): 1341-1343.
6.
Brown, L. (1992). A survey of image registration techniques. ACM Comput. Surv.
24: 325-376.
7.
Hill, D.L.G. and Batchelor, P. (2001). Registration methodology: concepts and
algorithms. in Hajnal, J.V., Hill, D.L.G., and Hawkes, D.J., (Eds.), Medical Image
Registration . Boca Raton, FL: CRC.
 
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