There are many impactful applications of artificial intelligence (AI) in the electronic radiology
roundtrip and the patient's journey through the healthcare system that go beyond diagnostic …

In addition to the use of artificial intelligence (AI) for medical image analysis for diagnostic
classification and interpretation tasks, there are many additional important applications as it …

Background A tomographic patient model is essential for radiation dose modulation in x‐ray
computed tomography (CT). Currently, two‐view scout images (also known as topograms) …

Purpose The purpose of this study was to simulate and validate organ doses from different
computed tomography (CT) localizer radiograph geometries using Monte Carlo methods for …

A novel beam filter consisting of multiple aperture devices (MADs) has been developed for
dynamic fluence field modulation (FFM) in CT. Each MAD achieves spatial modulation of x …

Tube current modulation (TCM) is routinely adopted on diagnostic CT scanners for dose
reduction. Conventional TCM strategies are generally designed for filtered-backprojection …

Purpose Commonly 2D scouts or topograms are used prior to CT scan acquisition. However,
low-dose 3D scouts could potentially provide additional information for more effective patient …

This study proposes a comprehensive framework for the segmentation and identification of
vertebrae in CT scans using a combination of deep learning and traditional machine …

Objective To investigate if the conventional localizer radiograph (LR) can be replaced by a
synthetic LR (SLR), generated from a low-dose spiral CT scan, for CT scan planning with …

Technology development in Computed Tomography (CT) is driven by clinical needs, for
example the need for image quality sufficient for the clinical task, and the need to obtain the …