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Chinese Physics C> 2015, Vol. 39> Issue(10) : 108202 DOI: 10.1088/1674-1137/39/10/108202

Attenuation correction with region growing method used in the positron emission mammography imaging system

  • The Positron Emission Mammography imaging system (PEMi) provides a novel nuclear diagnosis method dedicated for breast imaging. With a better resolution than whole body PET, PEMi can detect millimeter-sized breast tumors. To address the requirement of semi-quantitative analysis with a radiotracer concentration map of the breast, a new attenuation correction method based on a three-dimensional seeded region growing image segmentation (3DSRG-AC) method has been developed. The method gives a 3D connected region as the segmentation result instead of image slices. The continuity property of the segmentation result makes this new method free of activity variation of breast tissues. The threshold value chosen is the key process for the segmentation method. The first valley in the grey level histogram of the reconstruction image is set as the lower threshold, which works well in clinical application. Results show that attenuation correction for PEMi improves the image quality and the quantitative accuracy of radioactivity distribution determination. Attenuation correction also improves the probability of detecting small and early breast tumors.

  • References

    [1] Valk P E. Positron Emission Tomography: Basic Sciences. Springer Science Business Media., 2003. 93[2] Beyer T, Townsend D W, Brun T, Kinahan P E et al. J NUCL MED, 2000, 41(8): 1369-1379[3] Kinahan P, Townsend D, Beyer T et al. MED PHYS, 1998, 25(10): 2046-2053[4] Abreu M C, Aguiar J D, Almeida F G et al. IEEE T NUCL SCI, 2006, 53(1): 71-77[5] Moliner L, Gonzalez A, Soriano et al. MED PHYS, 2012, 39(9): 5393-5404[6] LU X, Anashkin E, Matthews C G et al. Real-time Viewer for Positron Emission Mammography Image-Guided Intervention. Proc. of the 2008 Nuclear Science Symposium Conference Record, 2008. 4814-4819[7] LI Lin, GU Xiao-Yue, LI Dao-Wu et al. Ability of the Positron Emission Mammography System, PEMi, in Detection of Millimeter-Sized Lesions. Proc. of the 2013 Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), 2013[8] Krol A, Bowsher J E, Manglos S H et al. IEEE Trans Med Imaging, 2001, 20(3): 218-232[9] Natterer F. Determination of Tissue Attenuation in Emission Tomography of Optically Dense Media. Inverse Problems, 1993, 9(6): 731[10] WANG Lu, CHAI Pei, WU Li-Wei et al. CPC, 2013, 37(1): 018201[11] Adams R, Bischof L. TPAMI, 1994, 16(6): 641-647[12] SHEN Yi, WANG Bo-Liang, JU Ying et al. Proc. In: Engineering in Medicine and Biology Society, 2005 IEEE-EMBS 2005 27th Annual International Conference of the: 2006: IEEE; 2006. 2902-2905[13] HUANG Zhan-Peng, YI Fa-Ling, JIANG Shi-Zhong et al. The Segmentation of Liver and Vessels in CT Images using 3D Hierarchical Seeded Region Growing. Proc. of the Computer Science and Automation Engineering (CSAE), IEEE International Conference on, 2011. 264[14] del Fresno M, Vénere M, Clausse A. CMIG, 2009, 33(5): 369[15] Daube-Witherspoon M E, Muehllehner G. JNM, 1987, 28(11): 1717[16] Defrise M, Kinahan PE, Townsend DW et al. TMI, 16(2): 145[17] Chesler D, Riederer S. PMB, 1975, 20(4): 632[18] Hudson H M, Larkin R S. TMI, 1994, 13(4): 601[19] White D, Booz J, Griffith R et al. Tissue Substitutes in Radiation Dosimetry and Measurement. ICRU Report 1989, 44[20] Siddon R L. MP, 1985, 12(2): 252

  • References

    [1] Valk P E. Positron Emission Tomography: Basic Sciences. Springer Science Business Media., 2003. 93[2] Beyer T, Townsend D W, Brun T, Kinahan P E et al. J NUCL MED, 2000, 41(8): 1369-1379[3] Kinahan P, Townsend D, Beyer T et al. MED PHYS, 1998, 25(10): 2046-2053[4] Abreu M C, Aguiar J D, Almeida F G et al. IEEE T NUCL SCI, 2006, 53(1): 71-77[5] Moliner L, Gonzalez A, Soriano et al. MED PHYS, 2012, 39(9): 5393-5404[6] LU X, Anashkin E, Matthews C G et al. Real-time Viewer for Positron Emission Mammography Image-Guided Intervention. Proc. of the 2008 Nuclear Science Symposium Conference Record, 2008. 4814-4819[7] LI Lin, GU Xiao-Yue, LI Dao-Wu et al. Ability of the Positron Emission Mammography System, PEMi, in Detection of Millimeter-Sized Lesions. Proc. of the 2013 Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), 2013[8] Krol A, Bowsher J E, Manglos S H et al. IEEE Trans Med Imaging, 2001, 20(3): 218-232[9] Natterer F. Determination of Tissue Attenuation in Emission Tomography of Optically Dense Media. Inverse Problems, 1993, 9(6): 731[10] WANG Lu, CHAI Pei, WU Li-Wei et al. CPC, 2013, 37(1): 018201[11] Adams R, Bischof L. TPAMI, 1994, 16(6): 641-647[12] SHEN Yi, WANG Bo-Liang, JU Ying et al. Proc. In: Engineering in Medicine and Biology Society, 2005 IEEE-EMBS 2005 27th Annual International Conference of the: 2006: IEEE; 2006. 2902-2905[13] HUANG Zhan-Peng, YI Fa-Ling, JIANG Shi-Zhong et al. The Segmentation of Liver and Vessels in CT Images using 3D Hierarchical Seeded Region Growing. Proc. of the Computer Science and Automation Engineering (CSAE), IEEE International Conference on, 2011. 264[14] del Fresno M, Vénere M, Clausse A. CMIG, 2009, 33(5): 369[15] Daube-Witherspoon M E, Muehllehner G. JNM, 1987, 28(11): 1717[16] Defrise M, Kinahan PE, Townsend DW et al. TMI, 16(2): 145[17] Chesler D, Riederer S. PMB, 1975, 20(4): 632[18] Hudson H M, Larkin R S. TMI, 1994, 13(4): 601[19] White D, Booz J, Griffith R et al. Tissue Substitutes in Radiation Dosimetry and Measurement. ICRU Report 1989, 44[20] Siddon R L. MP, 1985, 12(2): 252

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1. Samanta, S., Jiang, J., Hamdi, M. et al. Performance comparison of a dedicated total breast PET system with a clinical whole-body PET system: A simulation study[J]. Physics in Medicine and Biology, 2021, 66(11): 115004. doi: 10.1088/1361-6560/abfb16
Get Citation
GU Xiao-Yue, LI Lin, YIN Peng-Fei, YUN Ming-Kai, CHAI Pei, HUANG Xian-Chao, SUN Xiao-Li and WEI Long. Attenuation correction with region growing method used in the positron emission mammography imaging system[J]. Chinese Physics C, 2015, 39(10): 108202. doi: 10.1088/1674-1137/39/10/108202
GU Xiao-Yue, LI Lin, YIN Peng-Fei, YUN Ming-Kai, CHAI Pei, HUANG Xian-Chao, SUN Xiao-Li and WEI Long. Attenuation correction with region growing method used in the positron emission mammography imaging system[J]. Chinese Physics C, 2015, 39(10): 108202.  doi: 10.1088/1674-1137/39/10/108202 shu
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Received: 2014-12-18
Revised: 2015-06-15
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Attenuation correction with region growing method used in the positron emission mammography imaging system

    Corresponding author: GU Xiao-Yue,
  • Received Date: 2014-12-18
  • Accepted Date: 2015-06-15
  • Available Online: 2015-10-10

Abstract: The Positron Emission Mammography imaging system (PEMi) provides a novel nuclear diagnosis method dedicated for breast imaging. With a better resolution than whole body PET, PEMi can detect millimeter-sized breast tumors. To address the requirement of semi-quantitative analysis with a radiotracer concentration map of the breast, a new attenuation correction method based on a three-dimensional seeded region growing image segmentation (3DSRG-AC) method has been developed. The method gives a 3D connected region as the segmentation result instead of image slices. The continuity property of the segmentation result makes this new method free of activity variation of breast tissues. The threshold value chosen is the key process for the segmentation method. The first valley in the grey level histogram of the reconstruction image is set as the lower threshold, which works well in clinical application. Results show that attenuation correction for PEMi improves the image quality and the quantitative accuracy of radioactivity distribution determination. Attenuation correction also improves the probability of detecting small and early breast tumors.

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