Radiation environment created with GCRs inside a spacecraft.

Life Sci Space Res (Amst)

GFZ German Research Centre for Geosciences, Helmholtz Centre Potsdam, Germany; Institute of Physics and Astronomy, University of Potsdam, Germany; Department of Earth Planetary and Space Sciences, University of California, Los Angeles, United States.

Published: February 2020

We use the GEANT4 Monte Carlo code to calculate the radiation dose equivalent due to Galactic Cosmic Rays (GCRs) during an out-of-magnetosphere space flight. We provide a detailed analysis of the radiation dose composition, distinguishing between the contribution of primary GCR particles and different species of secondary particles. We show that for realistic shielding thicknesses, the radiation dose equivalent is mostly due to GCR protons and alpha particles. The Blood-Forming Organs (BFO) dose equivalent is the same in the shielding spheres with the radius of 50 and 100 cm, although the dose composition differs. We show that indirectly scattered secondary particles make up to 60% to the net radiation dose. Up to 90% of the secondary neutron dose equivalent is associated with indirectly scattered particles.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.lssr.2019.09.001DOI Listing

Publication Analysis

Top Keywords

radiation dose
16
dose equivalent
16
dose composition
8
secondary particles
8
indirectly scattered
8
dose
7
radiation
5
particles
5
radiation environment
4
environment created
4

Similar Publications

Evaluation of a Deep Learning Denoising Algorithm for Dose Reduction in Whole-Body Photon-Counting CT Imaging: A Cadaveric Study.

Acad Radiol

January 2025

Department of Radiology, University Hospital Tuebingen, Hoppe-Seyler-Str. 3, 72076 Tuebingen, Germany (R.D., J.M.B., B.S., J.M., S.G., P.K., S.W., J.H., K.N., S.A., A.B.).

Rationale And Objectives: Photon Counting CT (PCCT) offers advanced imaging capabilities with potential for substantial radiation dose reduction; however, achieving this without compromising image quality remains a challenge due to increased noise at lower doses. This study aims to evaluate the effectiveness of a deep learning (DL)-based denoising algorithm in maintaining diagnostic image quality in whole-body PCCT imaging at reduced radiation levels, using real intraindividual cadaveric scans.

Materials And Methods: Twenty-four cadaveric human bodies underwent whole-body CT scans on a PCCT scanner (NAEOTOM Alpha, Siemens Healthineers) at four different dose levels (100%, 50%, 25%, and 10% mAs).

View Article and Find Full Text PDF

This study presents a patient with a PET-CT detected residual lacrimal sac tumor who was treated with intensity modulated proton therapy (IMPT) and concurrent chemotherapy. The patient a 49-year-old male diagnosed with squamous cell carcinoma of the left lacrimal sac had under-went endoscopic surgery. Postoperative PET-CT implied tumor residual in the left lacrimal sac.

View Article and Find Full Text PDF

Inverse dose protraction effects of high-LET radiation: evidence and significance.

Mutat Res Rev Mutat Res

January 2025

Radiation Epidemiology Branch, National Cancer Institute, MD 20892-9778, USA; Faculty of Health, Science and Technology, Oxford Brookes University, Headington Campus, OX3 0BP, UK.

Biological effects of ionizing radiation vary with radiation quality, which is often expressed as the amount of energy deposited per unit length, i.e., linear energy transfer (LET).

View Article and Find Full Text PDF

Radiography is a field of medicine inherently intertwined with technology. The dependency on technology is very high for obtaining images in ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI). Although the reduction in radiation dose is not applicable in US and MRI, advancements in technology have made it possible in CT, with ongoing studies aimed at further optimization.

View Article and Find Full Text PDF

Background And Purpose: Radiation-induced lymphopenia (RIL) may be associated with a worse prognosis in pancreatic cancer. This study aimed to develop a normal tissue complication probability (NTCP) model to predict severe RIL in patients with pancreatic cancer undergoing concurrent chemoradiotherapy (CCRT).

Materials And Methods: We reviewed pancreatic cancer patients treated at our facility for model training and internal validation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!