Abstract
''Medical Image Reconstruction: A Conceptual Tutorial'' introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l{sub 0}-minimization are also included. (orig.)
Zeng, Gengsheng Lawrence
[1]
- Utah Univ., Salt Lake City, UT (United States). Utah Center for Advanced Imaging Research
Citation Formats
Zeng, Gengsheng Lawrence.
Medical image reconstruction. A conceptual tutorial.
Germany: N. p.,
2010.
Web.
doi:10.1007/978-3-642-05368-9.
Zeng, Gengsheng Lawrence.
Medical image reconstruction. A conceptual tutorial.
Germany.
https://doi.org/10.1007/978-3-642-05368-9
Zeng, Gengsheng Lawrence.
2010.
"Medical image reconstruction. A conceptual tutorial."
Germany.
https://doi.org/10.1007/978-3-642-05368-9.
@misc{etde_21397324,
title = {Medical image reconstruction. A conceptual tutorial}
author = {Zeng, Gengsheng Lawrence}
abstractNote = {''Medical Image Reconstruction: A Conceptual Tutorial'' introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l{sub 0}-minimization are also included. (orig.)}
doi = {10.1007/978-3-642-05368-9}
place = {Germany}
year = {2010}
month = {Jul}
}
title = {Medical image reconstruction. A conceptual tutorial}
author = {Zeng, Gengsheng Lawrence}
abstractNote = {''Medical Image Reconstruction: A Conceptual Tutorial'' introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l{sub 0}-minimization are also included. (orig.)}
doi = {10.1007/978-3-642-05368-9}
place = {Germany}
year = {2010}
month = {Jul}
}