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Artifacts at Cardiac CT: Physics and Solutions
Kevin Kalisz1, Ji Buethe1, Sachin S Saboo1
1From the Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio (K.K., J.B.); Department of Radiology, Cardiothoracic Imaging, UT Southwestern Medical Center, E6.120 B, Mail Code 9316, 5323 Harry Hines Blvd, Dallas, TX 75390-8896 (S.S.S., S.A., P.R.); and Philips Healthcare, Cleveland, Ohio (S.H.).
Insights
Computed tomography (CT) imaging is prone to artifacts from patient motion, technique, and unique cardiac factors. Strategies to reduce motion artifacts include optimizing heart rate, scan duration, and using advanced reconstruction algorithms.
Area of Science:
- Medical Imaging
- Radiology
- Computed Tomography
Background:
- Computed tomography (CT) is susceptible to numerous artifacts.
- Patient- and technique-specific artifacts can impact image quality, especially in cardiac imaging.
- Motion artifacts are the most prevalent type, stemming from patient, cardiac, or respiratory movement.
Purpose of the Study:
- To comprehensively review common artifacts encountered in computed tomography (CT).
- To detail the causes of various CT artifacts, including motion, partial volume averaging, beam hardening, metal, and quantum mottle.
- To outline strategies for mitigating these artifacts to improve diagnostic accuracy.
Main Methods:
- Review of literature on computed tomography (CT) artifacts.
- Categorization of artifacts based on origin (patient, technique, cardiac).
- Description of artifact reduction techniques for each category.
Main Results:
- Motion artifacts (cardiac and respiratory) can be reduced through heart rate control, scan optimization, and advanced algorithms.
- Partial volume averaging is mitigated by improved spatial resolution and higher x-ray energy.
- Beam hardening, metal artifacts, and quantum mottle have specific causes and reduction strategies involving filtration, energy, positioning, and reconstruction algorithms.
Conclusions:
- Understanding the causes of CT artifacts is crucial for effective mitigation.
- Implementing specific technical and algorithmic adjustments can significantly reduce artifacts.
- Optimizing CT protocols enhances image quality and diagnostic confidence in various clinical applications.
Abstract:
Computed tomography is vulnerable to a wide variety of artifacts, including patient- and technique-specific artifacts, some of which are unique to imaging of the heart. Motion is the most common source of artifacts and can be caused by patient, cardiac, or respiratory motion. Cardiac motion artifacts can be reduced by decreasing the heart rate and variability and the duration of data acquisition; adjusting the placement of the data window within a cardiac cycle; performing single-heartbeat scanning; and using multisegment reconstruction, motion-correction algorithms, and electrocardiographic editing. Respiratory motion artifacts can be minimized with proper breath holding and shortened scan duration. Partial volume averaging is caused by the averaging of attenuation values from all tissue contained within a voxel and can be reduced by improving the spatial resolution, using a higher x-ray energy, or displaying images with a wider window width. Beam-hardening artifacts are caused by the polyenergetic nature of the x-ray beam and can be reduced by using x-ray filtration, applying higher-energy x-rays, altering patient position, modifying contrast material protocols, and applying certain reconstruction algorithms. Metal artifacts are complex and have multiple causes, including x-ray scatter, underpenetration, motion, and attenuation values that exceed the typical dynamic range of Hounsfield units. Quantum mottle or noise is caused by insufficient penetration of tissue and can be improved by increasing the tube current or peak tube potential, reconstructing thicker sections, increasing the rotation time, using appropriate patient positioning, and applying iterative reconstruction algorithms. ©RSNA, 2016.
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