Evaluation of reconstruction techniques for lung single photon emission tomography: a Monte Carlo study. 2007

Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
Department of Radiation Physics, Faculty of Health Sciences, Linköping University, Sweden. Pernilla.Norberg@lio.se

BACKGROUND In studies of the distribution of lung function, the image quality of lung single photon emission computed tomography (SPECT) is important and one factor influencing it is the reconstruction algorithm. OBJECTIVE To systematically evaluate ordered subsets expectation maximization (OSEM) and compare it with filtered back-projection (FBP) for lung SPECT with Tc. METHODS The evaluation of the number of iterations used in OSEM was based on the image quality parameter contrast. The comparison between OSEM and FBP was based on trade-off plots between statistical noise and spatial resolution for different filter parameters, collimators and count-levels. A Monte Carlo technique was used to simulate SPECT studies of a digital thorax phantom containing two sets of activity: one with a homogeneous activity distribution within the lungs and the other with superposed high- and low-activity objects. Statistical noise in the reconstructed images was calculated as the coefficient of variation (CV) and spatial resolution as full width at half-maximum (FWHM). RESULTS For the configuration studied, the OSEM reconstruction in combination with post-filtering should be used in lung SPECT studies with at least 60 MLEM equivalent iterations. Compared to FBP the spatial resolution was improved by about 1 mm. For a constant level of CV, a four-fold increase in count level resulted in an increased resolution of about 2 mm. Spatial resolution and cut-off frequency depends on what value of noise in the image is acceptable also increased by using a low-energy, high-resolution collimator for CV values above 3%. The choice of noise-reducing filter and cut-off frequency depends on what value of noise in the image is acceptable.

UI MeSH Term Description Entries
D007089 Image Enhancement Improvement of the quality of a picture by various techniques, including computer processing, digital filtering, echocardiographic techniques, light and ultrastructural MICROSCOPY, fluorescence spectrometry and microscopy, scintigraphy, and in vitro image processing at the molecular level. Image Quality Enhancement,Enhancement, Image,Enhancement, Image Quality,Enhancements, Image,Enhancements, Image Quality,Image Enhancements,Image Quality Enhancements,Quality Enhancement, Image,Quality Enhancements, Image
D007090 Image Interpretation, Computer-Assisted Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease. Image Interpretation, Computer Assisted,Computer-Assisted Image Interpretation,Computer-Assisted Image Interpretations,Image Interpretations, Computer-Assisted,Interpretation, Computer-Assisted Image,Interpretations, Computer-Assisted Image
D008168 Lung Either of the pair of organs occupying the cavity of the thorax that effect the aeration of the blood. Lungs
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D009010 Monte Carlo Method In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993) Method, Monte Carlo
D003198 Computer Simulation Computer-based representation of physical systems and phenomena such as chemical processes. Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity
D015203 Reproducibility of Results The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results. Reliability and Validity,Reliability of Result,Reproducibility Of Result,Reproducibility of Finding,Validity of Result,Validity of Results,Face Validity,Reliability (Epidemiology),Reliability of Results,Reproducibility of Findings,Test-Retest Reliability,Validity (Epidemiology),Finding Reproducibilities,Finding Reproducibility,Of Result, Reproducibility,Of Results, Reproducibility,Reliabilities, Test-Retest,Reliability, Test-Retest,Result Reliabilities,Result Reliability,Result Validities,Result Validity,Result, Reproducibility Of,Results, Reproducibility Of,Test Retest Reliability,Validity and Reliability,Validity, Face

Related Publications

Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
January 1985, Medical physics,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
January 1983, IEEE transactions on medical imaging,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
January 2010, Journal of medical physics,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
January 2019, Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
January 2010, AIP conference proceedings,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
May 2012, World journal of nuclear medicine,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
December 1984, Physics in medicine and biology,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
January 2022, Scientific reports,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
January 2020, Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India,
Pernilla Norberg, and Björn Bake, and Lars Jacobsson, and Gudrun Alm Carlsson, and Agnetha Gustafsson
September 1999, Medical physics,
Copied contents to your clipboard!