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Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology
For interventional radiology, dose management has persisted as a crucially important issue to reduce radiation exposure to patients and medical staff. This study designed a real-time dose visualization system for interventional radiology designed with mixed reality technology and Monte Carlo simulat...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886835/ https://www.ncbi.nlm.nih.gov/pubmed/33594609 http://dx.doi.org/10.1007/s10916-020-01700-9 |
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author | Takata, Takeshi Nakabayashi, Susumu Kondo, Hiroshi Yamamoto, Masayoshi Furui, Shigeru Shiraishi, Kenshiro Kobayashi, Takenori Oba, Hiroshi Okamoto, Takahide Kotoku, Jun’ichi |
author_facet | Takata, Takeshi Nakabayashi, Susumu Kondo, Hiroshi Yamamoto, Masayoshi Furui, Shigeru Shiraishi, Kenshiro Kobayashi, Takenori Oba, Hiroshi Okamoto, Takahide Kotoku, Jun’ichi |
author_sort | Takata, Takeshi |
collection | PubMed |
description | For interventional radiology, dose management has persisted as a crucially important issue to reduce radiation exposure to patients and medical staff. This study designed a real-time dose visualization system for interventional radiology designed with mixed reality technology and Monte Carlo simulation. An earlier report described a Monte-Carlo-based estimation system, which simulates a patient’s skin dose and air dose distributions, adopted for our system. We also developed a system of acquiring fluoroscopic conditions to input them into the Monte Carlo system. Then we combined the Monte Carlo system with a wearable device for three-dimensional holographic visualization. The estimated doses were transferred sequentially to the device. The patient’s dose distribution was then projected on the patient body. The visualization system also has a mechanism to detect one’s position in a room to estimate the user’s exposure dose to detect and display the exposure level. Qualitative tests were conducted to evaluate the workload and usability of our mixed reality system. An end-to-end system test was performed using a human phantom. The acquisition system accurately recognized conditions that were necessary for real-time dose estimation. The dose hologram represents the patient dose. The user dose was changed correctly, depending on conditions and positions. The perceived overall workload score (33.50) was lower than the scores reported in the literature for medical tasks (50.60) for computer activities (54.00). Mixed reality dose visualization is expected to improve exposure dose management for patients and health professionals by exhibiting the invisible radiation exposure in real space. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s10916-020-01700-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7886835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-78868352021-03-03 Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology Takata, Takeshi Nakabayashi, Susumu Kondo, Hiroshi Yamamoto, Masayoshi Furui, Shigeru Shiraishi, Kenshiro Kobayashi, Takenori Oba, Hiroshi Okamoto, Takahide Kotoku, Jun’ichi J Med Syst Image & Signal Processing For interventional radiology, dose management has persisted as a crucially important issue to reduce radiation exposure to patients and medical staff. This study designed a real-time dose visualization system for interventional radiology designed with mixed reality technology and Monte Carlo simulation. An earlier report described a Monte-Carlo-based estimation system, which simulates a patient’s skin dose and air dose distributions, adopted for our system. We also developed a system of acquiring fluoroscopic conditions to input them into the Monte Carlo system. Then we combined the Monte Carlo system with a wearable device for three-dimensional holographic visualization. The estimated doses were transferred sequentially to the device. The patient’s dose distribution was then projected on the patient body. The visualization system also has a mechanism to detect one’s position in a room to estimate the user’s exposure dose to detect and display the exposure level. Qualitative tests were conducted to evaluate the workload and usability of our mixed reality system. An end-to-end system test was performed using a human phantom. The acquisition system accurately recognized conditions that were necessary for real-time dose estimation. The dose hologram represents the patient dose. The user dose was changed correctly, depending on conditions and positions. The perceived overall workload score (33.50) was lower than the scores reported in the literature for medical tasks (50.60) for computer activities (54.00). Mixed reality dose visualization is expected to improve exposure dose management for patients and health professionals by exhibiting the invisible radiation exposure in real space. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s10916-020-01700-9) contains supplementary material, which is available to authorized users. Springer US 2021-02-17 2021 /pmc/articles/PMC7886835/ /pubmed/33594609 http://dx.doi.org/10.1007/s10916-020-01700-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Image & Signal Processing Takata, Takeshi Nakabayashi, Susumu Kondo, Hiroshi Yamamoto, Masayoshi Furui, Shigeru Shiraishi, Kenshiro Kobayashi, Takenori Oba, Hiroshi Okamoto, Takahide Kotoku, Jun’ichi Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology |
title | Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology |
title_full | Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology |
title_fullStr | Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology |
title_full_unstemmed | Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology |
title_short | Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology |
title_sort | mixed reality visualization of radiation dose for health professionals and patients in interventional radiology |
topic | Image & Signal Processing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886835/ https://www.ncbi.nlm.nih.gov/pubmed/33594609 http://dx.doi.org/10.1007/s10916-020-01700-9 |
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