Laser & Optoelectronics Progress, Volume. 57, Issue 10, 101007(2020)
Joint Segmentation and Registration of Medical Image Based on B-Spline and Level Set Method
Figures & Tables(11)
Fig. 3. Segmentation and registration results of brain MRI and lung CT images. (a) Image to be registered; (b) image of target; (c) initial image difference; (d) segmented contours; (e)-(g) control grid; (h) forward deformed mesh; (i) backward deformed mesh; (j) result of segmentation; (k) result of registration; (l) image difference after registration
Fig. 4. Results of segmentation. (a) Target images without noise-free; (b) images to be registered; (c) segmentation result of images to be registered; (d)-(f) target images with noise intensities of 0.02, 0.05, and 0.1; (g)-(i) segmentation results of Fig. (d)-Fig. (f) by level set method; (j)-(l) segmentation results of Fig. (d)-Fig. (f) by proposed method
Fig. 5. Registration results of two methods. (a) Images to be registered; (b) images of target; (c) registration results of HBS; (d) final image differences of HBS; (e) registration results of DHBS; (f) final image differences of DHBS
Fig. 6. Results of registration. (a) Images to be registered; (b) images of target; (c) registration results of HBS; (d) registration results of joint method; (e) registration results of proposed method; (f) final image differences of HBS; (g) final image differences of joint method; (h) final image differences of proposed method
Fig. 7. Noise experiment comparison chart. (a) Images to be registered; (b) images of target; (c) registration results of joint method; (d) registration results of proposed method; (e) final image differences of joint method; (f) final image differences of proposed method
Table 1. DS value of two segmentation methods
View tableTable 1. DS value of two segmentation methods
Noise intensity Level set method Proposed method Triangle /% C-shape /% Triangle /% C-shape /% 0.02 99.32 99.21 99.33 99.36 0.05 96.76 95.99 99.27 99.23 0.10 91.83 90.06 99.12 99.08
Table 2. MSE and registration time of two registration methods
View tableTable 2. MSE and registration time of two registration methods
Image MSE Registration time /s HBS DHBS HBS DHBS First group 35.98 33.86 762.44 799.68 Second group 45.52 42.37 892.54 927.59 Third group 37.56 36.15 810.26 831.63
Table 3. MSE and registration time of three registration methods
View tableTable 3. MSE and registration time of three registration methods
Image MSE Registration time /s HBS Joint method Proposed method HBS Joint method Proposed method First group 35.98 26.82 23.97 762.44 813.56 831.26 Second group 45.52 35.17 31.38 892.54 939.17 960.78 Third group 37.56 29.33 26.89 810.26 890.35 899.62 Fourth group 72.31 52.16 51.37 997.68 1105.29 1123.60
Table 4. MSE and registration time under different noise intensities
View tableTable 4. MSE and registration time under different noise intensities
Noise intensity MSE Registration time /s Joint method Proposed method Joint method Proposed method 0 26.82 23.97 813.56 831.26 0.02 29.69 25.63 861.78 895.21 0.05 33.56 28.29 901.33 942.45
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Kai Lü, Jun Wu. Joint Segmentation and Registration of Medical Image Based on B-Spline and Level Set Method[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101007
Paper Information
Category: Image Processing
Received: Jul. 23, 2019
Accepted: Oct. 18, 2019
Published Online: May. 8, 2020
The Author Email: Lü Kai (1287626767@qq.com)
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