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A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging
2021
AMIA Annual Symposium Proceedings
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This work presents the development of a computer platform called Image and Radiation Dose BioBank (IRDBB) to manage research data produced in the context of the MEDIRAD project, a European project focusing ...
on research on low doses in the context of medical procedures. ...
The authors thank the STARDOG company for the free license of the STARDOG system, and for their efficient technical support. The authors thank ...
pmid:33936422
pmcid:PMC8075532
fatcat:ro5xtkqsuzgytpnulwey5ggy3a
How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?
2016
International Journal of Radiation Oncology, Biology, Physics
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for research studies and greater quantities of data are being generated. ...
Thus, the tremendous quantity of information produced in both basic and clinical research in radiation therapy can now be considered as having entered the realm of Big Data. ...
HHSN261200800001E and 1U01CA187013. Dr. Andre Dekker and Dr. Jatinder Palta are thanked for the information concerning EUROCAT and VA system, respectively. ...
doi:10.1016/j.ijrobp.2015.11.009
pmid:26797542
pmcid:PMC4864183
fatcat:2cqg7gkca5hpxn4ekmfcup664q
Internet-based computer technology on radiotherapy
2017
Reports of Practical Oncology & Radiotherapy
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Recent rapid development of Internet-based computer technologies has made possible many novel applications in radiation dose delivery. ...
applications in radiotherapy, such as treatment planning and dose delivery. ...
Huser et al. studied the challenges in big data for radiotherapy and highlighted issues of data volume, institutional review board, semantic data integration, databases versus data files and access to ...
doi:10.1016/j.rpor.2017.08.005
pmid:28932174
pmcid:PMC5596257
fatcat:jhwpmrvvzrfc5kmryrd74xtvna
Physical and Radiobiological Evaluation of Radiotherapy Treatment Plan
[chapter]
2015
Evolution of Ionizing Radiation Research
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Additionally, we have reviewed dose tolerance for critical organs including RTOG clinical trial results, QUENTEC data, Emami data, and Milano clinical trial results. ...
Radiation treatment planning plays an important role in modern radiation therapy; it could simulate to plan the geometric, radiobiological, and dosimetric aspects of the therapy using radiation transport ...
Table 2 . 2 Radiation tolerance dose in head and neckEvolution of Ionizing Radiation Research RTOG data
QUANTEC data
Emami Data
Milano Data
Critical
Structure
Dose/
fx
Vol. ...
doi:10.5772/60846
fatcat:japtzftierhrfalnluz6zzcbom
Overview of the American Society for Radiation Oncology–National Institutes of Health–American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data
2016
International Journal of Radiation Oncology, Biology, Physics
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Radiation Oncology in the Era of Big Data," August 13-14, 2015, included Stanley H. ...
We are also grateful to the American Society for Radiation Oncology and the American Association of Physicists in Medicine for their administrative support and financial assistance, without which this ...
Imaging There is much potentially valuable information embedded in medical images, including radiation treatment planning images. ...
doi:10.1016/j.ijrobp.2016.03.006
pmid:27302503
pmcid:PMC4965164
fatcat:cq2zwihthfatpgelgusvacloke
Deep Learning in Radiation Oncology
2020
Progress in Medical Physics
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The application areas of DL in radiation oncology include classification, semantic segmentation, object detection, image translation and generation, and image captioning. ...
We believe this paper will serve as a guide for both clinicians and medical physicists on issues that need to be addressed in time. ...
Its utility in radiation oncology and other medical physics areas has been discussed and verified in several research papers . ...
doi:10.14316/pmp.2020.31.3.111
fatcat:rbbemtrrezhrdovmyqof7t32ny
Artificial Intelligence and the Medical Physicist: Welcome to the Machine
2021
Applied Sciences
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The purpose of this review is to summarize the main applications of AI in medical physics, describe the skills of the MPs in research and clinical applications of AI, and define the major challenges of ...
As a result, the Italian Association of Medical Physics (AIFM) has created the "AI for Medical Physics" (AI4MP) group with the aims of coordinating the efforts, facilitating the communication, and sharing ...
Data Availability Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11041691
fatcat:gystnyouzfcqvc7lebogwy5rjq
Artificial intelligence and radiation protection. A game changer or an update?
2022
Radioprotection - Revue de la Societé Francaise de Radioprotection
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The article proposes that collaboration between radiation protection professionals and data scientist experts can accelerate and guide the development of the algorithms for effective scientific and technological ...
It is foreseen that the usage of AI will increase in radiation protection. ...
The authors would like to specially thanks the RP professionals and the data scientists at ASN, IRSN (ENV, LEPI) and Icohup for their time in (virtual) meeting and answering our questions by mail or phone ...
doi:10.1051/radiopro/2022004
fatcat:5ncfcvugbzasdbdtw3i7d3qyk4
ENLIGHT Hightlights - Issue 5
2015
Zenodo
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Fifth issue of the publication Enlight Highlights (February 2015) ...
LARGE SCALE COMPUTING, DATA STORAGE AND ANALYSIS The reputation of CERN in data management and storage is first rate. ...
Pioneering work is on-going on the integration of a prototype ultrasound tracking system in the PET imaging and dose delivery workflows, promising the possibility to provide more thorough and dose-free ...
doi:10.5281/zenodo.3478525
fatcat:wfm6a2m7urds3jwgz7u5u4ufhq
A review on personalized pediatric dosimetry applications using advanced computational tools
2019
IEEE Transactions on Radiation and Plasma Medical Sciences
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widely used in medical applications; and 3) ML techniques that provide an alternative method for estimating individualized absorbed doses. ...
Pediatric patient-specific dosimetry of ionizing radiation is of great scientific and social interest. ...
to keep a record of dose per patient CT scan to monitor and manage radiation risks. ...
doi:10.1109/trpms.2018.2876562
fatcat:3rlnu7mltnf2pcj2z6ma5gfhku
Radiomics in Cancer Radiotherapy: a Review
[article]
2019
arXiv
pre-print
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Radiomics is a nascent field in quantitative imaging that uses advanced algorithms and considerable computing power to describe tumor phenotypes, monitor treatment response, and assess normal tissue toxicity ...
This review will attempt to comprehensively and critically discuss the various aspects of radiomics including its workflow, applications to different modalities, potential applications in cancer radiotherapy ...
It is common to build treatment risk models through clinical data, dosimetric evaluation, and semantic image features. ...
arXiv:1910.02102v2
fatcat:joyhcr3r4bgivf6bn3tu4jiy2a
Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist
2021
Frontiers in Oncology
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of ML in the field of HN Radiation Oncology is wide, albeit this area of research is relatively young. ...
and PurposeMachine learning (ML) is emerging as a feasible approach to optimize patients' care path in Radiation Oncology. ...
involved in medical research, such as clinicians, statisticians, and ML experts. ...
doi:10.3389/fonc.2021.772663
pmid:34869010
pmcid:PMC8637856
fatcat:gjlgknmscfbknp2npt3yzs5wvu
AAPM Spring Clinical Meeting - Abstract
2021
Journal of Applied Clinical Medical Physics
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The software acquires and stores radiation dose data from DICOM-compliant radiation dose structured reports (RDSRs) and provides customizable dose reports, high-dose alerts, and many data analysis tools ...
Methods: In collaboration with Massachusetts General Hospital (MGH), five years of historical data was accumulated within a RITtrend® database. ...
The data was organized in Excel-sheets and referenced publications were saved in a database for future SPCs. ...
doi:10.1002/acm2.13289
pmid:34002941
fatcat:6oivewssf5gwnnztmhff4nldle
Automated data abstraction for quality surveillance and outcome assessment in radiation oncology
2021
Journal of Applied Clinical Medical Physics
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HINGE software has disease site-specific "Smart" templates that facilitate the entry of relevant clinical information by physicians and clinical staff in a discrete manner as part of the routine clinical ...
We present the design and implementation framework of an integrated data abstraction, aggregation, and storage, curation, and analytics software: the Health Information Gateway and Exchange (HINGE), which ...
This has the potential for big data outcome research in radiation oncology and high-quality continuity of care. ...
doi:10.1002/acm2.13308
pmid:34101349
fatcat:vo6blypq3zb4dcz2pr563kevae
Medical Images Simulation, Storage, and Processing on the European DataGrid Testbed
2004
Journal of Grid Computing
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If the benefit of grid enabling for some medical applications is clear, there remain opened research and technical issues to develop and integrate all necessary services. ...
The European IST DataGrid project was a pioneer in identifying the medical imaging field as an application domain that can benefit from grid technologies. ...
This paper synthesizes the work performed in several laboratories developing grid technologies for health applications that are supported by several national and international research programs. ...
doi:10.1007/s10723-004-5744-y
fatcat:vqdhjseu75hztatzxzpv7zyiw4
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