- SPECT Tutorial
- CT Artifact Recognition for the Nuclear Technologist, J Nucl Med Technol 2008; 36:79–81
- Incidence and Characterization of Patient Motion in Myocardial Perfusion SPECT: Part 1, J Nucl Med Technol 2004; 32:60–65
- Technical Overview of Brain SPECT Imaging: Improving Acquisition and Processing of Data, J Nucl Med Technol 2003; 31:191–195
- Gated Myocardial Perfusion SPECT: Basic Principles, Technical Aspects, and Clinical Applications, J Nucl Med Technol 2004; 32:179–187
- Artifacts and Pitfalls in Myocardial Perfusion Imaging, J Nucl Med Technol 2006; 34:193–211
- Evaluation of 2 Scatter Correction Methods Using a Striatal Phantom for Quantitative Brain SPECT, J Nucl Med Technol 2003; 31:157–160
- Occurrence of an Artifact in Brain 18F-FDG PET with Calculated Attenuation Correction, J Nucl Med Technol 2006; 34:232–234
- Comparison of Different Types of Commercial Filtered Backprojection and Ordered-Subset Expectation Maximization SPECT Reconstruction Software, J Nucl Med Technol 2009; 37:179–187
- Image Reconstruction Using Filtered Backprojection and Iterative Method: Effect on Motion Artifacts in Myocardial Perfusion SPECT, J Nucl Med Technol 2006; 34:220–223
- A Comparison of the Uniformity Requirements for SPECT Image Reconstruction Using FBP and OSEM Techniques, J Nucl Med Technol 2001; 29:79–83
- Simultaneous 3-Dimensional Resolution Correction in SPECT Reconstruction with an Ordered-Subsets Expectation Maximization Algorithm, J Nucl Med Technol 2007; 35:34–38
- A Postprocessing Method for Compensation of Scatter and Collimator Blurring in SPECT: A Proof-of-Concept Study, J Nucl Med Technol 2009; 37:83–90
Image processing is any form of signal processing for which the input is an image (in our case a nuclear medicine image); the output of image processing may be either another image or a set of parameters related to the original image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.
An image artifact is any feature which appears in an image which is not present in the original imaged object. An image artifact is sometimes the result of improper operation of the imager, and other times a consequence of natural processes or properties of the human body. It is important to be familiar with the appearance of artifacts because artifacts can obscure, and be mistaken for, pathology. Therefore, image artifacts can result in false negatives and false positives.
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