Publications by authors named "J Martijn Nobel"
Objectives: Photon-counting detector CT (PCD-CT) is expected to substantially improve and expand CT-imaging applicability due to its intrinsic spectral capabilities, increased spatial resolution, reduced electronic noise, and improved image contrast. The current study aim is to evaluate PCD-CT efficacy in characterizing bullets based on their dimensions, shape, and material composition.
Materials And Methods: This is an observational phantom study examining 11 unfired, intact bullets of various common calibers, placed in ballistic gelatin.
Article Synopsis
- Radiology reports often use complex jargon that can confuse patients, leading to anxiety and difficulty understanding their health information.
- This review explores how different formats of radiology reports affect how patients perceive, remember, and act on the information they receive about their health.
- The findings show that using simpler language, illustrations, and glossaries in radiology reports significantly improves patient understanding and reduces anxiety compared to traditional formats.
Elevated airborne radioactivity downwind of a Colorado oil refinery.
J Air Waste Manag Assoc
December 2024
Airborne radioactivity from fossil fuel production systems is poorly characterized, but a recent study showed elevated ambient levels with proximity to oil and gas production wells. Here, we report year-long, high temporal resolution monitoring results of airborne alpha radioactivity from both radon gas and radon progeny attached to particulates immediately northeast of an oil refinery in Commerce City, Colorado, USA, in an environmental justice community of concern. Gas and particle-associated radioactivity contributed nearly evenly to the total alpha radioactivity.
View Article and Find Full Text PDFThis study introduces and evaluates the PHAST+ model, part of a computational framework designed to simulate the behavior of auditory nerve fibers in response to the electrical stimulation from a cochlear implant. PHAST+ incorporates a highly efficient method for calculating accommodation and adaptation, making it particularly suited for simulations over extended stimulus durations. The proposed method uses a leaky integrator inspired by classic biophysical nerve models.
View Article and Find Full Text PDFArticle Synopsis
- - Natural Language Processing (NLP) helps organize and analyze radiological reports, which is critical for accurately staging conditions like lung cancer using CT and PET-CT scans.
- - A new algorithm, TN-PET-CT, is developed to enhance the existing TN-CT algorithm by incorporating metabolic activity for improved tumor staging.
- - The study shows that while the TN-PET-CT algorithm has a respectable accuracy (0.73 for training, 0.62 for validation), its performance relies heavily on the quality of the reports and specific medical terminology used.