Article
Radiology, Nuclear Medicine & Medical Imaging
Phuong Dung (Yun) Trieu, Melissa Barron, Sarah J. Lewis
Summary: This study compares the image quality of full-quality with minimal compressed JPEG and DICOM formats of mammograms. Twelve participants including radiologists and radiographers evaluated the images on a diagnostic monitor. The results showed that the JPEG format is equivalent to DICOM format, suggesting its potential use in online radiology training and education.
ACADEMIC RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Elin Kjelle, Catherine Chilanga
Summary: This study explores radiographers' assessments of X-ray image quality and shows that there is international agreement on what constitutes a good quality X-ray image. However, there are differences in opinions regarding the medical usefulness of low-quality images. Diagnostic capability and radiation protection were the main reasons for keeping images that did not meet the image criteria.
INSIGHTS INTO IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Maxime Bouthillier, Aidan Canil, Brian Yu Chieh Cheng, Kiana Lebel, Jessica L. Dobson
Summary: In 2022, the Canadian Association of Radiologists' Medical Student Network held RADGames, the first national image interpretation competition for medical students in Canada. The program aimed to spark interest in radiology and improve students' image interpretation skills through expert guidance and gamification.
ACADEMIC RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hiroki Kawashima, Katsuhiro Ichikawa, Yasuko Iida
Summary: The study demonstrated that PA grids with grid-line pitches close to the pixel-line pitch within errors of 0.6 μm produce grid artifact-free images without signal losses. PA grids showed improved performance in abdominal bedside radiography compared to conventional grids, as they did not produce noticeable frequency peaks in PS analysis and had a SNR improvement factor around 1.4 for acrylic thickness of 20 cm.
Article
Chemistry, Physical
F. Martire, C. Polito, D. Ciucci, E. Solfaroli Camillocci, M. Longo, E. Genovese, M. Cirillo, P. Toma, A. Magistrelli, V. Cannata
Summary: This study evaluated the image quality and entrance surface air kerma of radiological investigations for children admitted to the cardiac intensive care unit (CICU). The results showed that the images met the clinical requirements, with good visualization of anatomical structures, absence of artefacts, and high contrast. The radiation exposure was low and suitable for a large number of radiographic examinations during hospitalization.
RADIATION PHYSICS AND CHEMISTRY
(2023)
Article
Computer Science, Cybernetics
Nannan Xi, Oguz Oz Buruk, Juan Chen, Shiva Jabari, Juho Hamari
Summary: This study investigates the features of wearables that lead to a heightened game experience, finding that integrability to games, wearability, modularity, and sociability are the most important dimensions.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Engineering, Biomedical
Mang Feng, Xu Ji, Ran Zhang, Kevin Treb, Aaron M. Dingle, Ke Li
Summary: This study presents an experimental method for correcting concentric artifacts in PCD-CT images by using pixel-specific polynomial functions to address spectral inconsistency. Experimental evaluation showed that this method effectively reduces low-frequency concentric artifacts in PCD-CT images.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Isaac Shiri, Yazdan Salimi, Elsa Hervier, Agathe Pezzoni, Amirhossein Sanaat, Shayan Mostafaei, Arman Rahmim, Ismini Mainta, Habib Zaidi
Summary: The study introduces a new paradigm PET image Quality Assurance NETwork (PET-QA-NET) for detecting and disentangling various image artifacts from PET images, without prior knowledge of standard of reference. The developed DL model shows significantly improved image quality, diagnostic confidence, and reduced image artifacts compared to routine CT-based correction methods.
CLINICAL NUCLEAR MEDICINE
(2023)
Review
Pediatrics
Diego Nocetti, Kathia Villalobos, Kevin Wunderle
Summary: This systematic review comprehensively analyzes the physical image quality metrics and influencing factors in fluoroscopy-guided pediatric cardiac interventional procedures, providing valuable insights for safe and effective interventions.
Article
Radiology, Nuclear Medicine & Medical Imaging
Tim Gossye, Dimitri Buytaert, Peter V. Smeets, Lieve Morbee, Charlotte De Wilde, Karen Vermeiren, Eric Achten, Klaus Bacher
Summary: This study evaluated the effects of different virtual grid software ratios on gridless chest radiographs using visual grading analysis. Two image quality assessment algorithms were also investigated.
INVESTIGATIVE RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tim Gossye, Dimitri Buytaert, Peter Smeets, Lieve Morbee, Elke Vereecke, Eric Achten, Klaus Bacher
Summary: The study aimed to characterize different series of radiographs using an image quality assessment algorithm (IQAA), revealing the impact of scatter correction software (SC SW) on image quality, as well as the potential dose reduction and the correlation between human observer results and IQAA results.
INVESTIGATIVE RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Giridhar Dasegowda, Bernardo C. Bizzo, Reya V. Gupta, Parisa Kaviani, Shadi Ebrahimian, Debra Ricciardelli, Faezeh Abedi-Tari, Nir Neumark, Subba R. Digumarthy, Mannudeep K. Kalra, Keith J. Dreyer
Summary: This study evaluated radiologist-trained AI models for differentiating between suboptimal and optimal chest radiographs. The results showed that these AI models can accurately identify issues in chest radiographs, providing guidance for repeat imaging when needed.
ACADEMIC RADIOLOGY
(2023)
Review
Engineering, Industrial
Eetu Wallius, Ana Carolina Tome Klock, Juho Hamari
Summary: This paper provides a systematic review of motivational technologies in the field of transportation safety. The study finds that these technologies mainly focus on reducing the likelihood and consequences of accidents, and emphasizes the importance of aligning motivational design with cognitive demand and safety improvement measures in transportation tasks. Future research should explore the application of motivational technologies from a system design perspective, covering a wider range of transportation modes, comparing their effects to conventional approaches, and considering social factors.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
I. A. Tsalafoutas, V Tsapaki, I Triantopoulou
Summary: The study investigates the impact of X-ray preset acquisition protocol settings on fluoroscopy image quality and radiation exposure. Results show that protocol selection affects radiation exposure significantly by a factor of about 3. Evaluation of image quality revealed differences in characteristics between images produced by different acquisition protocols, with the visual IQ evaluation method being time-consuming and cumbersome.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Humanities, Multidisciplinary
Maria Martinez-Hita, Cosme Jesus Gomez-Carrasco, Pedro Miralles-Martinez
Summary: Research has shown that implementing gamified projects in history education for 4th year primary school students can improve their historical learning outcomes. This could serve as a reference point for promoting gamification in primary classrooms in the future. By comparing the performance of the experimental group with the control group, the results demonstrated significant improvement in historical learning for students involved in the gamified project.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)