Radiation Dose Units: How We Got Here, Do They Serve the Purposes They are Intended to?

The current radiation dose estimates used in medical imaging, radiation oncology or environmental assessments are not entirely accurate from a fundamental physics perspective, let alone for biological consequences. The "one cloth fits all" approach of radiation-matter interactions cannot assess the effects of interactions of the same species of radiation of different energies on the same isotope of an element. Preliminary steps to set the radiation dosimetry in the right direction are suggested.

Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy.

Fast and accurate auto-segmentation is essential for magnetic resonance-guided adaptive radiation therapy (MRgART). Deep learning auto-segmentation (DLAS) is not always clinically acceptable, particularly for complex abdominal organs. We previously reported an automatic contour refinement (ACR) solution of using an active contour model (ACM) to partially correct the DLAS contours.