Visual familiarity with the variety of digital radiographic artifacts is needed to identify, resolve, or prevent image artifacts from creating issues with patient imaging. Because the mechanism for image creation is different between flat-panel detectors and computed radiography, the causes and appearances of some artifacts can be unique to these different modalities. Examples are provided of artifacts that were found on clinical images or during quality control testing with flat-panel detectors. The examples are meant to serve as learning tools for future identification and troubleshooting of artifacts and as a reminder for steps that can be taken for prevention. The examples of artifacts provided are classified according to their causal connection in the imaging chain, including an equipment defect as a result of an accident or mishandling, debris or gain calibration flaws, a problematic acquisition technique, signal transmission failures, and image processing issues. Specific artifacts include those that are due to flat-panel detector drops, backscatter, debris in the x-ray field during calibration, detector saturation or underexposure, or collimation detection errors, as well as a variety of artifacts that are processing induced. RSNA, 2018.
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http://dx.doi.org/10.1148/rg.2018170038 | DOI Listing |
Radiol Case Rep
March 2025
First Orthopaedic Department, Aristotle University of Thessaloniki, School of Medicine, Thessaloniki, Greece.
Diffuse-type giant cell tumor of the tendon sheath (GCTTS) is a rare, benign, yet locally aggressive soft tissue tumor commonly affecting the hand. This case report presents a 55-year-old male with a 5-year history of GCTTS in the flexor tendon sheath of the long finger. MRI played a critical role in both diagnosis and surgical planning, revealing key features such as the tumor's 10 cm length, hemosiderin deposition, and blooming artifacts.
View Article and Find Full Text PDFMagn Reson Med
January 2025
Department of Radiology & Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Purpose: To correct maternal breathing and fetal bulk motion during fetal 4D flow MRI.
Methods: A Doppler-ultrasound fetal cardiac-gated free-running 4D flow acquisition was corrected post hoc for maternal respiratory and fetal bulk motion in separate automated steps, with optional manual intervention to assess and limit fetal motion artifacts. Compressed-sensing reconstruction with a data outlier rejection algorithm was adapted from previous work.
JMIR Mhealth Uhealth
January 2025
ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, Univ. Littoral Côte d'Opale, Univ. Lille, Univ. Artois, 189b, Avenue Maurice Schumann, Centre Universitaire des Darses, Dunkerque, 59375, France, 33 328237357.
Background: Wrist-worn photoplethysmography (PPG) sensors allow for continuous heart rate (HR) measurement without the inconveniences of wearing a chest belt. Although green light PPG technology reduces HR measurement motion artifacts, only a limited number of studies have investigated the reliability and accuracy of wearables in non-laboratory-controlled conditions with actual specific and various physical activity movements.
Objective: The purpose of this study was to (1) assess the reliability and accuracy of the PPG-based HR sensor of the Fitbit Charge 4 (FC4) in ecological conditions and (2) quantify the potential variability caused by the nature of activities.
Lasers Surg Med
January 2025
Wyant College of Optical Science, University of Arizona, Tucson, Arizona, USA.
Study Objective: We present the results of the first feasibility and safety study of a novel multi-modality falloposcope, in 19 volunteers. The falloposcope incorporated multispectral fluorescence imaging (MFI) and optical coherence tomography (OCT) for evaluation of the fallopian tubes (FT).
Methods: Nineteen females undergoing elective salpingectomy were recruited in this IRB-approved study.
Comput Med Imaging Graph
January 2025
The Department of Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA; The Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
A generic and versatile CT Image Reconstruction (CTIR) scheme can efficiently mitigate imaging noise resulting from inherent physical limitations, substantially bolstering the dependability of CT imaging diagnostics across a wider spectrum of patient cases. Current CTIR techniques often concentrate on distinct areas such as Low-Dose CT denoising (LDCTD), Sparse-View CT reconstruction (SVCTR), and Metal Artifact Reduction (MAR). Nevertheless, due to the intricate nature of multi-scenario CTIR, these techniques frequently narrow their focus to specific tasks, resulting in limited generalization capabilities for diverse scenarios.
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