Volume and tissue composition preserving deformation of breast CT images to simulate breast compression in mammographic imaging

Tao Han, Lingyun Chen, Chao Jen Lai, Xinming Liu, Youtao Shen, Yuncheng Zhong, Shuaiping Ge, Ying Yi, Tianpeng Wang, Chris C. Shaw

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Images of mastectomy breast specimens have been acquired with a bench top experimental Cone beam CT (CBCT) system. The resulting images have been segmented to model an uncompressed breast for simulation of various CBCT techniques. To further simulate conventional or tomosynthesis mammographic imaging for comparison with the CBCT technique, a deformation technique was developed to convert the CT data for an uncompressed breast to a compressed breast without altering the breast volume or regional breast density. With this technique, 3D breast deformation is separated into two 2D deformations in coronal and axial views. To preserve the total breast volume and regional tissue composition, each 2D deformation step was achieved by altering the square pixels into rectangular ones with the pixel areas unchanged and resampling with the original square pixels using bilinear interpolation. The compression was modeled by first stretching the breast in the superior-inferior direction in the coronal view. The image data were first deformed by distorting the voxels with a uniform distortion ratio. These deformed data were then deformed again using distortion ratios varying with the breast thickness and re-sampled. The deformation procedures were applied in the axial view to stretch the breast in the chest wall to nipple direction while shrinking it in the mediolateral to lateral direction re-sampled and converted into data for uniform cubic voxels. Threshold segmentation was applied to the final deformed image data to obtain the 3D compressed breast model. Our results show that the original segmented CBCT image data were successfully converted into those for a compressed breast with the same volume and regional density preserved. Using this compressed breast model, conventional and tomosynthesis mammograms were simulated for comparison with CBCT.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2009
Subtitle of host publicationPhysics of Medical Imaging
Volume7258
DOIs
StatePublished - Jun 15 2009
EventMedical Imaging 2009: Physics of Medical Imaging - Lake Buena Vista, FL, United States
Duration: Feb 9 2009Feb 12 2009

Other

OtherMedical Imaging 2009: Physics of Medical Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/9/092/12/09

Fingerprint

breast
preserving
Cones
Breast
Tissue
Imaging techniques
Chemical analysis
Pixels
Cone-Beam Computed Tomography
cones
Stretching
Interpolation
Compaction
pixels
Nipples
Direction compound
Mastectomy
Thoracic Wall
chest
seats

Keywords

  • Breast compression
  • Cone beam CT
  • Deformation
  • Mammography
  • Simulation.
  • Tomosynthesis

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Han, T., Chen, L., Lai, C. J., Liu, X., Shen, Y., Zhong, Y., ... Shaw, C. C. (2009). Volume and tissue composition preserving deformation of breast CT images to simulate breast compression in mammographic imaging. In Medical Imaging 2009: Physics of Medical Imaging (Vol. 7258). [72580K] https://doi.org/10.1117/12.813813

Volume and tissue composition preserving deformation of breast CT images to simulate breast compression in mammographic imaging. / Han, Tao; Chen, Lingyun; Lai, Chao Jen; Liu, Xinming; Shen, Youtao; Zhong, Yuncheng; Ge, Shuaiping; Yi, Ying; Wang, Tianpeng; Shaw, Chris C.

Medical Imaging 2009: Physics of Medical Imaging. Vol. 7258 2009. 72580K.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Han, T, Chen, L, Lai, CJ, Liu, X, Shen, Y, Zhong, Y, Ge, S, Yi, Y, Wang, T & Shaw, CC 2009, Volume and tissue composition preserving deformation of breast CT images to simulate breast compression in mammographic imaging. in Medical Imaging 2009: Physics of Medical Imaging. vol. 7258, 72580K, Medical Imaging 2009: Physics of Medical Imaging, Lake Buena Vista, FL, United States, 2/9/09. https://doi.org/10.1117/12.813813
Han T, Chen L, Lai CJ, Liu X, Shen Y, Zhong Y et al. Volume and tissue composition preserving deformation of breast CT images to simulate breast compression in mammographic imaging. In Medical Imaging 2009: Physics of Medical Imaging. Vol. 7258. 2009. 72580K https://doi.org/10.1117/12.813813
Han, Tao ; Chen, Lingyun ; Lai, Chao Jen ; Liu, Xinming ; Shen, Youtao ; Zhong, Yuncheng ; Ge, Shuaiping ; Yi, Ying ; Wang, Tianpeng ; Shaw, Chris C. / Volume and tissue composition preserving deformation of breast CT images to simulate breast compression in mammographic imaging. Medical Imaging 2009: Physics of Medical Imaging. Vol. 7258 2009.
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abstract = "Images of mastectomy breast specimens have been acquired with a bench top experimental Cone beam CT (CBCT) system. The resulting images have been segmented to model an uncompressed breast for simulation of various CBCT techniques. To further simulate conventional or tomosynthesis mammographic imaging for comparison with the CBCT technique, a deformation technique was developed to convert the CT data for an uncompressed breast to a compressed breast without altering the breast volume or regional breast density. With this technique, 3D breast deformation is separated into two 2D deformations in coronal and axial views. To preserve the total breast volume and regional tissue composition, each 2D deformation step was achieved by altering the square pixels into rectangular ones with the pixel areas unchanged and resampling with the original square pixels using bilinear interpolation. The compression was modeled by first stretching the breast in the superior-inferior direction in the coronal view. The image data were first deformed by distorting the voxels with a uniform distortion ratio. These deformed data were then deformed again using distortion ratios varying with the breast thickness and re-sampled. The deformation procedures were applied in the axial view to stretch the breast in the chest wall to nipple direction while shrinking it in the mediolateral to lateral direction re-sampled and converted into data for uniform cubic voxels. Threshold segmentation was applied to the final deformed image data to obtain the 3D compressed breast model. Our results show that the original segmented CBCT image data were successfully converted into those for a compressed breast with the same volume and regional density preserved. Using this compressed breast model, conventional and tomosynthesis mammograms were simulated for comparison with CBCT.",
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