Recognizing and Minimizing Artifacts at CT, MRI, US, and Molecular Imaging

Triche, Benjamin L; Nelson, John T.; McGill, Noah S.; Porter, Kristin K.; Sanyal, Rupan; Tessler, Franklin N.; McConathy, Jonathan; Gauntt, David M.; Yester, Michael V.; Singh, Shveta

doi:10.1148/rg.2019180022.pres

Cited by 3 publications

(5 citation statements)

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“…Chemical Shift Artifact: The different frequency of resonance between fat and water generates an artifact presented as bright and dark lines along the interface of water and lipids [1][2][3][4][5] (►Fig. 1).…”

Section: Artifacts Contributing To Diagnosismentioning

confidence: 99%

“…Its correction relies on adjustments of imaging acquisition parameters, like switching phase-and frequency-encoding directions; increasing receiver bandwidth; and applying fat suppression. [3][4][5][6] Flow Artifact: Both CSF and blood flow artifacts are physiologic phenomena that may interfere with image acquisition during an MRI scan.…”

Section: Artifacts Contributing To Diagnosismentioning

confidence: 99%

“…It is a consequence of hardware/software failures; physiologic motion, as cerebrospinal fluid (CSF) flow; or ferromagnetic objects within the patient, like neurosurgical clips. 2,4 Comprehending artifacts is challenging: multiple authors 3,[5][6][7] have demonstrated that the physical principles related to their occurrence should be minimally understood to minimize the emergence of artifacts, as misunderstanding an artifact as a disease may have adverse consequences for the patient. 4 Therefore, beyond discerning basic physics interactions that merge into an artifact, the present study illustrates that recognition of an artifact itself is useful to recall true pathologies and often aids in differential diagnosis of CNS diseases.…”

Section: Introductionmentioning

confidence: 99%

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Artifacts in MRI: Villain or Hero? Using Artifacts for Diagnosing Central Nervous System Diseases

Morais

Peruzini

Júnior

2021

Arquivos Brasileiros de Neurocirurgia: Brazilian Neurosurgery

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An artifact is a feature present in an image which is not part of the original structure. It can occur as a consequence of several factors. It may be mistaken for pathologic conditions, leading to adverse consequences for the patients. The aim of the present study is to present a selection of the main artifacts described in brain and spinal magnetic resonance images to improve the ability of the physicians to recognize them and to reduce their interference on the final interpretation of a scan. The authors searched the scientific community for artifacts in magnetic resonance imaging (MRI), which were selected to focus on central nervous system (CNS) findings. With the Picture Archiving and Communication System (PACS) database from the center where this study was conducted, the authors designated brain and spine MRI scans with conspicuous artifacts to compose the present study. The artifacts were then classified as those that contribute to the diagnosis and those that must be distinguished from pathologic lesions. Considering the novel classification proposed by the present study, physicians might be stimulated to reevaluate their opinions regarding artifacts, perhaps considering them helpful to evaluate certain conditions even if they cannot be fully corrected, as shown by this distinct approach to artifacts with specific findings concerning differential diagnosis of CNS conditions.

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Section: Artifacts Contributing To Diagnosismentioning

confidence: 99%

Section: Artifacts Contributing To Diagnosismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Artifacts in MRI: Villain or Hero? Using Artifacts for Diagnosing Central Nervous System Diseases

Morais

Peruzini

Júnior

2021

Arquivos Brasileiros de Neurocirurgia: Brazilian Neurosurgery

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“…Ring artifacts are caused by a variety of factors, including miscalibration, detector failure, or insufficient radiation dose in a CT scanner (Triche et al, 2019).…”

Section: Columnsmentioning

confidence: 99%

Wood Identification of Historical Architecture in Korea by Synchrotron X-ray Microtomography-Based Three-Dimensional Microstructural Imaging

Tazuru¹,

Sugiyama²

2020

Journal of the Korean Wood Science and Technology

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For visual inspection-based wood identification, optical microscopy techniques typically require a relatively large sample size, and a scanning electron microscope requires a clean surface. These novel techniques experience limitations for objects with highly limited sampling capabilities such as important and registered wooden cultural properties. Synchrotron X-ray microtomography (SR-µCT) has been suggested as an effective alternative to avoid such limitations and various other imaging issues. In this study, four pieces of wood fragments from wooden members used in the Manseru pavilion of Bongjeongsa temple in Andong, Korea, wereused for identification. Three-dimensional microstructural images were reconstructed from these small wood samples using SR-µCT at SPring-8. From the analysis of the reconstructed images, the samples were identified as Zelkova serrata, Quercus sect. Cerris, and Pinus koraiensis. The images displayed sufficient spatial resolution to clearly observe the anatomical features of each species. In addition, the three-dimensional imaging allowed unlimited image processing.

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“…Additionally, the beam hardening effect can also be minimized through calibration with some known calibrating structures. Various algorithms have been developed to limit beam hardening artifacts (Triche et al, 2019). Also, increasing X-ray tube voltage can sometimes reduce the artifacts.…”

Section: Beam Hardening Effectsmentioning

confidence: 99%

Quantitative analysis of a canonical coaxial two-fluid spray based on X-ray imaging techniques

Li¹

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CHAPTER 4. CALIBRATION AND STATISTICAL ANALYSIS OF TIME-SERIES MEASUREMENTSChapter 4 summarizes the calibration and statistical methods used to access the X-ray images. Section 4.1 outlines the calibrations used to correct for beam hardening and penumbra effects that are common in tube source X-rays. Due to the beam hardening effects, it will be shown that the attenuation coefficient for the broadband X-ray is a complex function related to energy level and wavelength, which is difficult to determine. Section 4.2 provides a general attenuation coefficient estimated from a liquid stream that may be used in white beam imaging.The estimated attenuation coefficient matches the theoretical attenuation coefficient of water.Section 4.3 shows the influence of sampling method on the image data sets. The influence of sampling period and sampling frequency of the spray are discussed. 4.1 Calibration of Beam Hardening Effect and Penumbra Effect * Section 4.1 is a conference paper submitted for 14th Triennial International Conference on Liquid Atomization and Spray Systems (ICLASS 2018).

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Recognizing and Minimizing Artifacts at CT, MRI, US, and Molecular Imaging

Cited by 3 publications

References 0 publications

Artifacts in MRI: Villain or Hero? Using Artifacts for Diagnosing Central Nervous System Diseases

Artifacts in MRI: Villain or Hero? Using Artifacts for Diagnosing Central Nervous System Diseases

Wood Identification of Historical Architecture in Korea by Synchrotron X-ray Microtomography-Based Three-Dimensional Microstructural Imaging

Quantitative analysis of a canonical coaxial two-fluid spray based on X-ray imaging techniques

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