STEPHEN GLICK

Summary

Affiliation: University of Massachusetts Medical School
Country: USA

Publications

  1. ncbi Breast CT
    Stephen J Glick
    Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA
    Annu Rev Biomed Eng 9:501-26. 2007
  2. ncbi Evaluating the impact of X-ray spectral shape on image quality in flat-panel CT breast imaging
    Stephen J Glick
    Department of Radiology, University of Massachusetts Medical School, Worcester Massachusetts 01655, USA
    Med Phys 34:5-24. 2007
  3. ncbi Evaluation of a variable dose acquisition technique for microcalcification and mass detection in digital breast tomosynthesis
    Mini Das
    Department of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, Massachusetts 01655, USA
    Med Phys 36:1976-84. 2009
  4. ncbi Microcalcification detection using cone-beam CT mammography with a flat-panel imager
    Xing Gong
    Department of Radiology, University of Massachusetts, Medical School, Worcester, MA 01655, USA
    Phys Med Biol 49:2183-95. 2004
  5. ncbi Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations
    Edward J Soares
    Department of Mathematics and Computer Science, College of the Holy Cross, Worcester, MA 01610, USA
    IEEE Trans Med Imaging 24:112-21. 2005
  6. ncbi Normalized glandular dose (DgN) coefficients for flat-panel CT breast imaging
    Samta C Thacker
    Department of Radiology, University of Massachusetts, Medical School, Worcester, MA 01655, USA
    Phys Med Biol 49:5433-44. 2004
  7. ncbi Characterization of scatter in cone-beam CT breast imaging: comparison of experimental measurements and Monte Carlo simulation
    Yu Chen
    Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA
    Med Phys 36:857-69. 2009
  8. ncbi Reconstruction of 2D PET data with Monte Carlo generated system matrix for generalized natural pixels
    Stefaan Vandenberghe
    ELIS Department, MEDISIP, Ghent University, B 9000 Ghent, Belgium
    Phys Med Biol 51:3105-25. 2006
  9. ncbi A computer simulation study comparing lesion detection accuracy with digital mammography, breast tomosynthesis, and cone-beam CT breast imaging
    Xing Gong
    Departments of Medical Physics and Radiation Oncology, Rush University Medical Center, 1653 W Congress Parkway, Chicago, Illinois 60612, USA
    Med Phys 33:1041-52. 2006
  10. ncbi Characterization of tomographic sampling in hybrid PET using the Fourier crosstalk matrix
    Robert Z Stodilka
    CareImaging Corp, 246 Matheson Blvd, Mississauga, ON L4Z 1X1, Canada
    IEEE Trans Med Imaging 21:1468-78. 2002

Research Grants

  1. Iterative Reconstruction for Breast Tomosynthesis
    STEPHEN GLICK; Fiscal Year: 2009
  2. Feasibility of CT Mammography Using Flat Panel Detectors
    STEPHEN GLICK; Fiscal Year: 2005
  3. IMPROVED QUANTITATIVE ACCURACY OF SPECT-PET IMAGING
    STEPHEN GLICK; Fiscal Year: 2001
  4. Development of a Photon Counting Detector for CT Breast Imaging
    Stephen J Glick; Fiscal Year: 2010

Detail Information

Publications10

  1. ncbi Breast CT
    Stephen J Glick
    Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA
    Annu Rev Biomed Eng 9:501-26. 2007
    ..A number of academic groups are currently researching dedicated breast CT and prototype systems are currently being evaluated in the clinical setting...
  2. ncbi Evaluating the impact of X-ray spectral shape on image quality in flat-panel CT breast imaging
    Stephen J Glick
    Department of Radiology, University of Massachusetts Medical School, Worcester Massachusetts 01655, USA
    Med Phys 34:5-24. 2007
    ..The results give an indication of how spectral shape can affect image quality in flat-panel CT breast imaging...
  3. ncbi Evaluation of a variable dose acquisition technique for microcalcification and mass detection in digital breast tomosynthesis
    Mini Das
    Department of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, Massachusetts 01655, USA
    Med Phys 36:1976-84. 2009
    ..71) was compared to that obtained from the UD-DBT (AL=0.78). The authors found no statistically significant difference between the two (p-value=0.22), although all the observers performed better for UD-DBT...
  4. ncbi Microcalcification detection using cone-beam CT mammography with a flat-panel imager
    Xing Gong
    Department of Radiology, University of Massachusetts, Medical School, Worcester, MA 01655, USA
    Phys Med Biol 49:2183-95. 2004
    ..2 mm for microcalcification detection, based on the trade-off between detectability of microcalcifications and the time required for data acquisition and reconstruction...
  5. ncbi Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations
    Edward J Soares
    Department of Mathematics and Computer Science, College of the Holy Cross, Worcester, MA 01610, USA
    IEEE Trans Med Imaging 24:112-21. 2005
    ..In addition, the validity of the approximation will be justified...
  6. ncbi Normalized glandular dose (DgN) coefficients for flat-panel CT breast imaging
    Samta C Thacker
    Department of Radiology, University of Massachusetts, Medical School, Worcester, MA 01655, USA
    Phys Med Biol 49:5433-44. 2004
    ..In addition, figures displaying energy deposition maps are presented to better understand the spatial distribution of dose in CT breast imaging...
  7. ncbi Characterization of scatter in cone-beam CT breast imaging: comparison of experimental measurements and Monte Carlo simulation
    Yu Chen
    Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA
    Med Phys 36:857-69. 2009
    ..The single Rayleigh scatter was observed to be the primary contribution to the spatially variant scatter component...
  8. ncbi Reconstruction of 2D PET data with Monte Carlo generated system matrix for generalized natural pixels
    Stefaan Vandenberghe
    ELIS Department, MEDISIP, Ghent University, B 9000 Ghent, Belgium
    Phys Med Biol 51:3105-25. 2006
    ..Less important factors were the choice of the algorithm (MLEM performed better than ART) and the basis functions (generalized natural pixels gave better results than pixels)...
  9. ncbi A computer simulation study comparing lesion detection accuracy with digital mammography, breast tomosynthesis, and cone-beam CT breast imaging
    Xing Gong
    Departments of Medical Physics and Radiation Oncology, Rush University Medical Center, 1653 W Congress Parkway, Chicago, Illinois 60612, USA
    Med Phys 33:1041-52. 2006
    ....
  10. ncbi Characterization of tomographic sampling in hybrid PET using the Fourier crosstalk matrix
    Robert Z Stodilka
    CareImaging Corp, 246 Matheson Blvd, Mississauga, ON L4Z 1X1, Canada
    IEEE Trans Med Imaging 21:1468-78. 2002
    ....

Research Grants15

  1. Iterative Reconstruction for Breast Tomosynthesis
    STEPHEN GLICK; Fiscal Year: 2009
    ..Evaluation and optimization of different imaging system designs and acquisition processes will be conducted by evaluating lesion detection accuracy using realistically simulated tomosynthesis breast images. ..
  2. Feasibility of CT Mammography Using Flat Panel Detectors
    STEPHEN GLICK; Fiscal Year: 2005
    ..These models will be determined based on the statistical characterization of surgically removed lesion and breast tissue specimens. ..
  3. IMPROVED QUANTITATIVE ACCURACY OF SPECT-PET IMAGING
    STEPHEN GLICK; Fiscal Year: 2001
    ....
  4. Development of a Photon Counting Detector for CT Breast Imaging
    Stephen J Glick; Fiscal Year: 2010
    ..This research proposes to develop an improved, innovative detector system for breast CT imaging. ..