Yiheng Zhang

Summary

Affiliation: University of Michigan
Country: USA

Publications

  1. ncbi A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis
    Yiheng Zhang
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109 0904, USA
    Med Phys 33:3781-95. 2006
  2. ncbi Application of boundary detection information in breast tomosynthesis reconstruction
    Yiheng Zhang
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109 0904, USA
    Med Phys 34:3603-13. 2007
  3. ncbi A haemodynamic response function model in spatio-temporal diffuse optical tomography
    Yiheng Zhang
    Department of Radiology, University of Michigan Hospital, 1500 E Medical Center Drive, CGC B2109, Ann Arbor, MI 48109, USA
    Phys Med Biol 50:4625-44. 2005
  4. ncbi Characterization of masses in digital breast tomosynthesis: comparison of machine learning in projection views and reconstructed slices
    Heang Ping Chan
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, USA
    Med Phys 37:3576-86. 2010
  5. ncbi Bilateral analysis based false positive reduction for computer-aided mass detection
    Yi Ta Wu
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, USA
    Med Phys 34:3334-44. 2007
  6. ncbi Dynamic multiple thresholding breast boundary detection algorithm for mammograms
    Yi Ta Wu
    Department of Radiology, University of Michigan, Ann Arbor Michigan 48109, USA
    Med Phys 37:391-401. 2010
  7. ncbi Artifact reduction methods for truncated projections in iterative breast tomosynthesis reconstruction
    Yiheng Zhang
    Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
    J Comput Assist Tomogr 33:426-35. 2009
  8. ncbi Characterization of mammographic masses based on level set segmentation with new image features and patient information
    Jiazheng Shi
    Department of Radiology, The University of Michigan, Ann Arbor, Michigan 48109 0904, USA
    Med Phys 35:280-90. 2008
  9. ncbi Computer-aided detection of masses in digital tomosynthesis mammography: comparison of three approaches
    Heang Ping Chan
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109 5842, USA
    Med Phys 35:4087-95. 2008
  10. ncbi Computer-aided detection systems for breast masses: comparison of performances on full-field digital mammograms and digitized screen-film mammograms
    Jun Wei
    Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
    Acad Radiol 14:659-69. 2007

Detail Information

Publications12

  1. ncbi A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis
    Yiheng Zhang
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109 0904, USA
    Med Phys 33:3781-95. 2006
    ....
  2. ncbi Application of boundary detection information in breast tomosynthesis reconstruction
    Yiheng Zhang
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109 0904, USA
    Med Phys 34:3603-13. 2007
    ..Our study demonstrates that, by using the 2D and 3D breast boundary information, all breast boundary and most detector boundary artifacts can be effectively removed on all tomosynthesized slices...
  3. ncbi A haemodynamic response function model in spatio-temporal diffuse optical tomography
    Yiheng Zhang
    Department of Radiology, University of Michigan Hospital, 1500 E Medical Center Drive, CGC B2109, Ann Arbor, MI 48109, USA
    Phys Med Biol 50:4625-44. 2005
    ..We also present an efficient algorithm for solving the associated large-scale systems. The expected improvements in spatial resolution and contrast-to-noise ratio are illustrated with simulations of human brain activation...
  4. ncbi Characterization of masses in digital breast tomosynthesis: comparison of machine learning in projection views and reconstructed slices
    Heang Ping Chan
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, USA
    Med Phys 37:3576-86. 2010
    ....
  5. ncbi Bilateral analysis based false positive reduction for computer-aided mass detection
    Yi Ta Wu
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, USA
    Med Phys 34:3334-44. 2007
    ..63, respectively, at the corresponding sensitivities, the FP rates were reduced by 40%, 44%, and 42% with the bilateral symmetry information. The improvement was statistically significance (p < 0.05) as estimated by JAFROC analysis...
  6. ncbi Dynamic multiple thresholding breast boundary detection algorithm for mammograms
    Yi Ta Wu
    Department of Radiology, University of Michigan, Ann Arbor Michigan 48109, USA
    Med Phys 37:391-401. 2010
    ..In this study, the authors developed a new dynamic multiple thresholding based breast boundary (MTBB) detection method for digitized mammograms...
  7. ncbi Artifact reduction methods for truncated projections in iterative breast tomosynthesis reconstruction
    Yiheng Zhang
    Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
    J Comput Assist Tomogr 33:426-35. 2009
    ....
  8. ncbi Characterization of mammographic masses based on level set segmentation with new image features and patient information
    Jiazheng Shi
    Department of Radiology, The University of Michigan, Ann Arbor, Michigan 48109 0904, USA
    Med Phys 35:280-90. 2008
    ..Finally, an independent test on the publicly available digital database for screening mammography with 132 benign and 197 malignant ROIs containing masses achieved a view-based Az value of 0.84 +/- 0.02...
  9. ncbi Computer-aided detection of masses in digital tomosynthesis mammography: comparison of three approaches
    Heang Ping Chan
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109 5842, USA
    Med Phys 35:4087-95. 2008
    ..02 and 0.01, respectively) as estimated by alternative FROC analysis. The combined system is a promising approach to improving automated mass detection on DBTs...
  10. ncbi Computer-aided detection systems for breast masses: comparison of performances on full-field digital mammograms and digitized screen-film mammograms
    Jun Wei
    Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
    Acad Radiol 14:659-69. 2007
    ..To compare the performance of computer aided detection (CAD) systems on pairs of full-field digital mammogram (FFDM) and screen-film mammogram (SFM) obtained from the same patients...
  11. ncbi Optimal linear inverse solution with multiple priors in diffuse optical tomography
    Ang Li
    Department of Physics Tufts University, Medford, Massachusetts 02155, USA
    Appl Opt 44:1948-56. 2005
    ..Simulations are performed to demonstrate the significant improvement in image quality afforded by combining spatial and spectral priors...
  12. ncbi Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging
    Yiheng Zhang
    Northeastern University, Electrical and Computer Engineering Department, Boston, Massachusetts 02115, USA
    J Biomed Opt 10:11014. 2005
    ..By projecting the data onto the orthogonal nullspace of these eigenvectors, we can obtain more localized response, as reflected in improved contrast-to-noise ratio and correlation coefficient maps...