Spatially variant apodization for image reconstruction from partial Fourier data

J.A.C. Lee; D.C. Munson

doi:10.1109/83.877212

Spatially variant apodization for image reconstruction from partial Fourier data

IEEE Transactions on Image Processing ◽

10.1109/83.877212 ◽

2000 ◽

Vol 9 (11) ◽

pp. 1914-1925 ◽

Cited By ~ 16

Author(s):

J.A.C. Lee ◽

D.C. Munson

Keyword(s):

Image Reconstruction ◽

Fourier Data ◽

Spatially Variant

Phase-only Image Reconstruction From Offset Fourier Data

10.1117/12.949545 ◽

1985 ◽

Cited By ~ 2

Author(s):

David C. Munson, Jr. ◽

Jorge L. C. Sanz

Keyword(s):

Image Reconstruction ◽

Fourier Data

Image reconstruction from limited Fourier data

Journal of the Optical Society of America A ◽

10.1364/josaa.23.002732 ◽

2006 ◽

Vol 23 (11) ◽

pp. 2732 ◽

Cited By ~ 4

Author(s):

Hsin M. Shieh ◽

Charles L. Byrne

Keyword(s):

Image Reconstruction ◽

Fourier Data

Spatially variant positron range modeling derived from CT for PET image reconstruction

2008 IEEE Nuclear Science Symposium Conference Record ◽

10.1109/nssmic.2008.4774106 ◽

2008 ◽

Cited By ~ 10

Author(s):

Adam Alessio ◽

Lawrence MacDonald

Keyword(s):

Image Reconstruction ◽

Positron Range ◽

Spatially Variant ◽

Pet Image Reconstruction

Phase-Only Image Reconstruction From Offset Fourier Data

Optical Engineering ◽

10.1117/12.7973880 ◽

1986 ◽

Vol 25 (5) ◽

pp. 255655 ◽

Cited By ~ 1

Author(s):

David C. Munson, Jr. ◽

Jorge L. C. Sanz

Keyword(s):

Image Reconstruction ◽

Fourier Data

Measured Spatially Variant System Response for PET Image Reconstruction

IEEE Nuclear Science Symposium Conference Record, 2005 ◽

10.1109/nssmic.2005.1596722 ◽

2006 ◽

Cited By ~ 14

Author(s):

A.M. Alessio ◽

P.E. Kinahan ◽

R.L. Harrison ◽

T.K. Lewellen

Keyword(s):

Image Reconstruction ◽

System Response ◽

Spatially Variant ◽

Pet Image Reconstruction ◽

Variant System

Generalized Approach to Inverse Problems in Tomography: Image Reconstruction for Spatially Variant Systems Using Natural Pixels *

High-Performance Computing in Biomedical Research ◽

10.1201/9781003068136-10 ◽

2020 ◽

pp. 157-181

Author(s):

John R. Baker ◽

Thomas F. Budinger ◽

Ronald H. Huesman

Keyword(s):

Image Reconstruction ◽

Inverse Problems ◽

Tomography Image ◽

Spatially Variant

Image reconstruction from frequency-offset Fourier data

Proceedings of the IEEE ◽

10.1109/proc.1984.12915 ◽

1984 ◽

Vol 72 (6) ◽

pp. 661-669 ◽

Cited By ~ 67

Author(s):

D.C. Munson ◽

J.L.C. Sanz

Keyword(s):

Image Reconstruction ◽

Frequency Offset ◽

Fourier Data

PET image reconstruction using LOR-OSEM with a 3D spatially variant system matrix

2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) ◽

10.1109/nssmic.2009.5401881 ◽

2009 ◽

Cited By ~ 5

Author(s):

D.B. Wiant ◽

J.A. Gersh ◽

M.C. Bennett ◽

J.D. Bourland

Keyword(s):

Image Reconstruction ◽

System Matrix ◽

Spatially Variant ◽

Pet Image Reconstruction ◽

Variant System

Image Reconstruction from Undersampled Fourier Data Using the Polynomial Annihilation Transform

Journal of Scientific Computing ◽

10.1007/s10915-015-0088-2 ◽

2015 ◽

Vol 67 (2) ◽

pp. 432-452 ◽

Cited By ~ 15

Author(s):

Rick Archibald ◽

Anne Gelb ◽

Rodrigo B. Platte

Keyword(s):

Image Reconstruction ◽

Fourier Data ◽

Polynomial Annihilation

Image reconstruction for spatially variant systems using orthonormal natural pixels

IEEE Conference on Nuclear Science Symposium and Medical Imaging ◽

10.1109/nssmic.1992.301488 ◽

2003 ◽

Author(s):

J.R. Baker ◽

T.F. Budinger ◽

R.H. Huesman

Keyword(s):

Image Reconstruction ◽

Spatially Variant