基于B样条和水平集方法的医学图像联合分割与配准 
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Joint Segmentation and Registration of Medical Image Based on B-Spline and Level Set Method
江西理工大学信息工程学院, 江西 赣州 341000
图 & 表
图 1. HBS局部细化示意图
Fig. 1. Local refinement diagram of HBS
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图 2. 算法流程图
Fig. 2. Flow chart of algorithm
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图 3. 脑部MRI和肺部CT图像的分割与配准结果。(a)待配准图像;(b)参考图像;(c)初始图像差;(d)分割的轮廓;(e)~(g)控制网格;(h)前向变形网格;(i)后向变形网格;(j)分割结果;(k)配准结果;(l)配准后图像差
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
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图 4. 分割结果。(a)无噪声参考图像;(b)待配准图像;(c)待配准图像的分割结果;(d)~(f)噪声强度为0.02、0.05、0.1的参考图像;(g)~(i)水平集方法对图(d)~图(f)的分割结果;(j)~(l)本方法对图(d)~图(f)的分割结果
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
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图 5. 两种方法配准结果。(a)待配准图像;(b)参考图像;(c)分层B样条方法配准结果;(d)分层B样条方法配准后图像差;(e)分层B样条双向变换方法配准结果;(f)分层B样条双向变换方法配准后图像差
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
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图 6. 配准结果。(a)待配准图像;(b)参考图像;(c)分层B样条方法配准结果;(d)联合方法配准结果;(e)本方法配准结果;(f)分层B样条方法配准后图像差;(g)联合方法配准后图像差;(h)本方法配准后图像差
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
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图 7. 噪声实验对比图。(a)待配准图像;(b)参考图像;(c)联合方法配准结果;(d)本方法配准结果;(e)联合方法配准后图像差;(f)本方法配准后图像差
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
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表 1两种分割方法的DS值
Table1. 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 |
|
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表 2两种配准方法下MSE和配准时间
Table2. 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 |
|
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表 3三种配准结果的MSE和配准时间
Table3. 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 |
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表 4不同噪声强度下MSE和配准时间
Table4. 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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吕凯, 吴军. 基于B样条和水平集方法的医学图像联合分割与配准[J]. 激光与光电子学进展, 2020, 57(10): 101007. 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.
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