Angel R Pineda

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi request reprint Figures of merit for detectors in digital radiography. I. Flat background and deterministic blurring
    Angel R Pineda
    University of Arizona, Radiology Research Building 211, 1609 North Warren, Tucson, Arizona 85724, USA
    Med Phys 31:348-58. 2004
  2. ncbi request reprint Figures of merit for detectors in digital radiography. II. Finite number of secondaries and structured backgrounds
    Angel R Pineda
    University of Arizona, Radiology Research Building 211, 1609 North Warren, Tucson, Arizona 85724, USA
    Med Phys 31:359-67. 2004
  3. ncbi request reprint Cramér-Rao bounds for three-point decomposition of water and fat
    Angel R Pineda
    Department of Radiology, Stanford University Medical Center, Stanford, California 94305, USA
    Magn Reson Med 54:625-35. 2005
  4. ncbi request reprint Water-fat separation with IDEAL gradient-echo imaging
    Scott B Reeder
    Department of Radiology, University of Wisconsin, Madison, Wisconsin 53792, USA
    J Magn Reson Imaging 25:644-52. 2007
  5. ncbi request reprint Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging
    Scott B Reeder
    Department of Radiology, Stanford University Medical Center, Stanford, California, USA
    Magn Reson Med 54:636-44. 2005
  6. pmc Noise considerations of three-point water-fat separation imaging methods
    Zhifei Wen
    Department of Physics, Stanford University, Stanford, California 94305, USA
    Med Phys 35:3597-606. 2008
  7. doi request reprint On the performance of T2* correction methods for quantification of hepatic fat content
    Scott B Reeder
    Department of Radiology, University of Wisconsin, Madison, Wisconsin 53792 3252, USA
    Magn Reson Med 67:389-404. 2012
  8. ncbi request reprint Multicoil Dixon chemical species separation with an iterative least-squares estimation method
    Scott B Reeder
    Department of Radiology, Stanford University Medical Center, Stanford, California 94304, USA
    Magn Reson Med 51:35-45. 2004
  9. pmc Simultaneous segmentation and reconstruction: a level set method approach for limited view computed tomography
    Sungwon Yoon
    Department of Radiology, Stanford University, Stanford, California 94305, USA
    Med Phys 37:2329-40. 2010
  10. pmc Information content of data types in time-domain optical tomography
    Angel R Pineda
    University of Arizona, Tucson, Arizona 85724, USA
    J Opt Soc Am A Opt Image Sci Vis 23:2989-96. 2006

Detail Information

Publications13

  1. ncbi request reprint Figures of merit for detectors in digital radiography. I. Flat background and deterministic blurring
    Angel R Pineda
    University of Arizona, Radiology Research Building 211, 1609 North Warren, Tucson, Arizona 85724, USA
    Med Phys 31:348-58. 2004
    ..Using these NEQ-based figures of merit would lead to different design decisions than using the ideal SNR. This study is meant to bring attention to the assumptions implicitly made when using Fourier methods...
  2. ncbi request reprint Figures of merit for detectors in digital radiography. II. Finite number of secondaries and structured backgrounds
    Angel R Pineda
    University of Arizona, Radiology Research Building 211, 1609 North Warren, Tucson, Arizona 85724, USA
    Med Phys 31:359-67. 2004
    ..For such cases, we show that the commonly used figures of merit based on the discrete Fourier transform can provide an inaccurate estimate of Hotelling detectability...
  3. ncbi request reprint Cramér-Rao bounds for three-point decomposition of water and fat
    Angel R Pineda
    Department of Radiology, Stanford University Medical Center, Stanford, California 94305, USA
    Magn Reson Med 54:625-35. 2005
    ..These theoretical results were verified using Monte Carlo simulations with a newly developed nonlinear least-squares reconstruction algorithm that achieves the CRB...
  4. ncbi request reprint Water-fat separation with IDEAL gradient-echo imaging
    Scott B Reeder
    Department of Radiology, University of Wisconsin, Madison, Wisconsin 53792, USA
    J Magn Reson Imaging 25:644-52. 2007
    ..Robust fat suppression is necessary for many GRE imaging applications; unfortunately, uniform fat suppression is challenging in the presence of B(0) inhomogeneities. These challenges are addressed with the IDEAL technique...
  5. ncbi request reprint Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging
    Scott B Reeder
    Department of Radiology, Stanford University Medical Center, Stanford, California, USA
    Magn Reson Med 54:636-44. 2005
    ..Close agreement between theoretical and experimental results obtained from an oil-water phantom was observed, demonstrating that the iterative least-squares decomposition method is an efficient estimator...
  6. pmc Noise considerations of three-point water-fat separation imaging methods
    Zhifei Wen
    Department of Physics, Stanford University, Stanford, California 94305, USA
    Med Phys 35:3597-606. 2008
    ....
  7. doi request reprint On the performance of T2* correction methods for quantification of hepatic fat content
    Scott B Reeder
    Department of Radiology, University of Wisconsin, Madison, Wisconsin 53792 3252, USA
    Magn Reson Med 67:389-404. 2012
    ..Interestingly, when an echo spacing and first echo shift of ∼π/2 are used, methods without T(2)* correction have less than 5% bias in the estimates of fat fraction...
  8. ncbi request reprint Multicoil Dixon chemical species separation with an iterative least-squares estimation method
    Scott B Reeder
    Department of Radiology, Stanford University Medical Center, Stanford, California 94304, USA
    Magn Reson Med 51:35-45. 2004
    ..An analysis of the noise performance of this method is described, and methods to improve noise performance through multicoil acquisition and field map smoothing are discussed...
  9. pmc Simultaneous segmentation and reconstruction: a level set method approach for limited view computed tomography
    Sungwon Yoon
    Department of Radiology, Stanford University, Stanford, California 94305, USA
    Med Phys 37:2329-40. 2010
    ..An iterative tomographic reconstruction algorithm that simultaneously segments and reconstructs the reconstruction domain is proposed and applied to tomographic reconstructions from a sparse number of projection images...
  10. pmc Information content of data types in time-domain optical tomography
    Angel R Pineda
    University of Arizona, Tucson, Arizona 85724, USA
    J Opt Soc Am A Opt Image Sci Vis 23:2989-96. 2006
    ..A methodology for quantifying information content prior to reconstruction without assumptions of linearity is established, and the importance of signal and background characterization is highlighted...
  11. ncbi request reprint Optimization of a tomosynthesis system for the detection of lung nodules
    Angel R Pineda
    Department of Radiology, Stanford University, Stanford, California 94305, USA
    Med Phys 33:1372-9. 2006
    ..The validation of these mathematical observers extends their applicability to the optimization of tomosynthesis systems...
  12. ncbi request reprint SENSE phase-constrained magnitude reconstruction with iterative phase refinement
    Calvin Lew
    Lucas MRS I Center, Stanford University, Stanford, California 94035, USA
    Magn Reson Med 58:910-21. 2007
    ..For applications that need only magnitude data, an iterative phase-constrained SENSE reconstruction can provide substantial SNR improvement over SENSE reconstruction and less artifacts than phase-constrained SENSE...
  13. ncbi request reprint Multiecho reconstruction for simultaneous water-fat decomposition and T2* estimation
    Huanzhou Yu
    Global Applied Science Lab, GE Healthcare, Menlo Park, California, USA
    J Magn Reson Imaging 26:1153-61. 2007
    ..The method removes interference of water-fat separation with iron-induced T2* effects and therefore has potential for the simultaneous characterization of hepatic steatosis (fatty infiltration) and iron overload...