TY - JOUR
T1 - Tomographic reconstruction
T2 - A nonmathematical overview
AU - Currie, Geoffrey
AU - Hewis, Johnathan
AU - Bushong, Stewart
N1 - Includes bibliographical references
PY - 2015/12
Y1 - 2015/12
N2 - Tomographic reconstruction in single-photon-emission computed tomography (SPECT), positron emission tomography (PET), and computed tomography (CT) aim to reconstruct a three-dimensional object from a finite set of projections. Today, there are a number of approaches to tomographic reconstruction. This article aims to provide a refresher on the principles of tomographic reconstruction in SPECT, PET and CT in a nonmathematical manner. The tomographic reconstruction principles are common to SPECT, PET and CT data. The mathematical basis of analytical and iterative approaches to tomographic reconstruction is complex. This complexity may be prohibitive of a working understanding of reconstruction by medical radiation technologists; more so because of mathematical intimidation than lack of capability. Technologists can, however, develop a working knowledge from the principles and processes of reconstruction and use this understanding for decision making and problem solving.
AB - Tomographic reconstruction in single-photon-emission computed tomography (SPECT), positron emission tomography (PET), and computed tomography (CT) aim to reconstruct a three-dimensional object from a finite set of projections. Today, there are a number of approaches to tomographic reconstruction. This article aims to provide a refresher on the principles of tomographic reconstruction in SPECT, PET and CT in a nonmathematical manner. The tomographic reconstruction principles are common to SPECT, PET and CT data. The mathematical basis of analytical and iterative approaches to tomographic reconstruction is complex. This complexity may be prohibitive of a working understanding of reconstruction by medical radiation technologists; more so because of mathematical intimidation than lack of capability. Technologists can, however, develop a working knowledge from the principles and processes of reconstruction and use this understanding for decision making and problem solving.
KW - Algorithm
KW - Article
KW - Artificial intelligence
KW - Clinical practice
KW - Computer assisted tomography
KW - Decision making
KW - Fourier transformation
KW - Human
KW - Image analysis
KW - Image quality
KW - Image reconstruction
KW - Positron emission tomography
KW - Practice guideline
KW - Priority journal
KW - Problem solving
KW - Single photon emission computer tomography
KW - Three dimensional imaging
U2 - 10.1016/j.jmir.2015.07.007
DO - 10.1016/j.jmir.2015.07.007
M3 - Article
C2 - 31052121
SN - 1876-7982
VL - 46
SP - 403
EP - 412
JO - Journal of Medical Imaging and Radiation Sciences
JF - Journal of Medical Imaging and Radiation Sciences
IS - 4
ER -