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A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging

Daniel Haak, Charles-E. Page, Thomas M. Deserno
2015 Journal of digital imaging  
Imaging biomarkers and image-based surrogate endpoints in clinical trials and medical registries require DICOM viewer software with advanced functionality for visualization and interfaces for integration  ...  The digital imaging and communications in medicine (DICOM) protocol is the leading standard for image data management in healthcare.  ...  In clinical trials, subject's data is, today, multi-center captured via so-called electronic case report forms (eCRFs) [19, 20] .  ... 
doi:10.1007/s10278-015-9833-1 pmid:26482912 pmcid:PMC4788610 fatcat:nemrpais2veq7pxj4pp3vcnq74

Dicoogle Framework for Medical Imaging Teaching and Research [article]

Rui Lebre, Eduardo Pinho, Jorge Miguel Silva, Carlos Costa
2019 arXiv   pre-print
In the medical imaging field, the evolution of digital systems is supported by the PACS concept and the DICOM standard.  ...  However, the complexity of those systems and protocols makes difficult and time-consuming to prototype new ideas or develop applied research, even for skilled users with training in those environments.  ...  [17] integrated DICOM data into electronic data capture systems (EDCS) regarding the workflow in clinical trials and a PACS archiving node for research. Jodogne et al.  ... 
arXiv:1912.00877v1 fatcat:kmx4kbkejfbghodawyorm2zfiy

The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research

Hossein Mohammadian Foroushani, Rajat Dhar, Yasheng Chen, Jenny Gurney, Ali Hamzehloo, Jin-Moo Lee, Daniel S. Marcus
2021 Frontiers in Neuroinformatics  
The Stroke Neuroimaging Phenotype Repository (SNIPR) was developed as a multi-center centralized imaging repository of clinical computed tomography (CT) and magnetic resonance imaging (MRI) scans from  ...  Currently, SNIPR hosts research projects encompassing ischemic and hemorrhagic stroke, with data from 2,246 subjects, and 6,149 imaging sessions from Washington University's clinical image archive as well  ...  They would also like to thank their data collaborators in United States, Poland, Finland, and Spain.  ... 
doi:10.3389/fninf.2021.597708 pmid:34248529 pmcid:PMC8264586 fatcat:ch3ofmaunvafffxjfgy5epfy4q

A neuroinformatics database system for disease-oriented neuroimaging research

Stephen T.C. Wong, Kent Soo Hoo, Xinhua Cao, Donny Tjandra, J.C. Fu, William P. Dillon
2004 Academic Radiology  
The establishment of this integrated research database will serve as a foundation for future hypothesis-driven experiments, which could uncover previously unsuspected correlations and perhaps help to identify  ...  This article describes the design and implementation of a new class of research data warehouse, neuroinformatics database system (NIDS), which will alleviate these problems for clinicians and researchers  ...  Finally, we plan to test the scalability of the system in a multi-center image-based and web-enabled clinical trial including thousands of new refractory epilepsy patient datasets.  ... 
doi:10.1016/s1076-6332(03)00676-7 pmid:15035525 fatcat:nrmxw4tllzbqzffhmpqf4lntbe

Developing a Multi-Institutional PACS Archive and Designing Processes to Manage the Shift from a Film to a Digital-Based Archive

Nicole K. Laprise, Richard Hanusik, T. J. FitzGerald, Nancy Rosen, Keith S. White
2007 Journal of digital imaging  
ACKNOWLEDGMENTS This work was supported in part by funding from the National Cancer Institute (NCI), Cancer Therapy Evaluation Program (CTEP) grants U10 CA29511 and U10 CA98543.  ...  QARC shares its strength in electronic data transfer with other quality assurance centers to promote uniformity and standardization in data transfer for images and radiation therapy objects.  ...  White for use in the clinical trials process in 2000 and has since been managed and developed at QARC.  ... 
doi:10.1007/s10278-007-9080-1 pmid:17924166 pmcid:PMC3043666 fatcat:bzrw35fvwzdtpag4rq55qjtnqq

The ten commandments of translational research informatics

Tim Hulsen, Manisha Desai
2019 Data Science OpenClinica Community Edition [35] Clinical The world's first commercial open source clinical trial software serving for the purpose of clinical data management and electronic  ...  For example, they usually lack knowledge about an Electronic Data Capture (EDC) system such as OpenClinica [35] , Castor EDC [6] or REDCap [16] , as part of work package 1 in Fig. 1 .  ... 
doi:10.3233/ds-190020 fatcat:cwclv26sj5fztnvir2nliqlbcy

Whitepapers on Imaging Infrastructure for Research Part Three: Security and Privacy

Tony Pan, Bradley J. Erickson, Daniel S. Marcus
2012 Journal of digital imaging  
In this section, we briefly describe some of the In the context of multi-center clinical trials and research, the Privacy Rule allows three types of data to be exchanged for research: identified data with  ...  Security and Privacy Issues Research consortiums and multi-site trials are increasingly a reality in the healthcare and research enterprise.  ... 
doi:10.1007/s10278-012-9493-3 pmid:22678746 pmcid:PMC3491152 fatcat:esx4gqiut5bkfls6kecbmvfoai

Data sharing in neuroimaging research

Jean-Baptiste Poline, Janis L. Breeze, Satrajit Ghosh, Krzysztof Gorgolewski, Yaroslav O. Halchenko, Michael Hanke, Christian Haselgrove, Karl G. Helmer, David B. Keator, Daniel S. Marcus, Russell A. Poldrack, Yannick Schwartz (+2 others)
2012 Frontiers in Neuroinformatics  
The use of electronic data capture (EDC) methods for neuroimaging greatly simplifies the task of data collection and has the potential to help standardize many aspects of data sharing.  ...  By providing seamless integration of data sharing and analysis tools within a commodity research environment, the Task Force seeks to identify and minimize barriers to data sharing in the field of neuroimaging  ...  Efficient collaboration in, for example, a multi-center study requires a software platform that can cope with this heterogeneity, allows for uniform deployment of all necessary research tools, and nevertheless  ... 
doi:10.3389/fninf.2012.00009 pmid:22493576 pmcid:PMC3319918 fatcat:f4cgaldeuraavmcnxqrsisdebe

Data Infrastructure for Medical Research

Thomas Heinis, Anastasia Ailamaki
2017 Foundations and Trends in Databases  
MRI), new sources of structured data like activity trackers, the wide-spread use of electronic health records and many others.  ...  References 95 Abstract While we are witnessing rapid growth in data across the sciences and in many applications, this growth is particularly remarkable in the medical domain, be it because of higher resolution  ...  The purpose is to assist in the electronic exchange and integrating of clinical results.  ... 
doi:10.1561/1900000050 fatcat:fakmpm37lfcelokzvlx6tcld6m

DICOM Standard and Its Application in PACS System

Liting Yan
2018 Medical Imaging Process & Technology  
At the same time, it discusses the long-term prospect of DICOM in PACS.  ...  PACS is an important link in the rapid development of information technology in contemporary hospitals. DICOM is the standard of PACS TCM medical image format and transmission medical image protocol.  ...  In 1985, the US National Cancer Center funded UCLA to begin the fi rst PACS-related research program.  ... 
doi:10.24294/mipt.v1i1.221 fatcat:r42ljze4ffcafdh3vk3wiphjae

IT solutions for imaging biomarkers in biopharmaceutical research and development

M. Hehenberger, A. Chatterjee, U. Reddy, J. Hernandez, J. Sprengel
2007 IBM Systems Journal  
use of imaging technologies, challenges related to the integration of imaging biomarker data with clinical and genotypic data, and the need to integrate external public data sources.  ...  In particular, we cover various uses of emerging imaging technologies in biopharmaceutical research and development, examples of imaging biomarkers in therapeutic areas, IT requirements related to the  ...  Therefore, to enable efficient review of electronic clinical data submissions and to support cross-trial analysis, the FDA has recommended the Study Data Tabulation Model (SDTM) of the Clinical Data  ... 
doi:10.1147/sj.461.0183 fatcat:jh6kbvj4f5bbpdpnfenyaa3j4u

IT Infrastructure to Support the Secondary Use of Routinely Acquired Clinical Imaging Data for Research

Kai Yan Eugene Leung, Fedde van der Lijn, Henri A. Vrooman, Miriam C. J. M. Sturkenboom, Wiro J. Niessen
2014 Neuroinformatics  
We propose an infrastructure for the automated anonymization, extraction and processing of image data stored in clinical data repositories to make routinely acquired imaging data available for research  ...  clinical imaging data can be used for brain volumetry research, despite image heterogeneity.  ...  Acknowledgments This work was supported by the Netherlands Organization for Scientific Research (NWO), VICI grant No. 918-96-632.  ... 
doi:10.1007/s12021-014-9240-7 pmid:25129841 pmcid:PMC4303741 fatcat:i6qo3npysvfopfkvlgealori5y

A Knowledge-Anchored Integrative Image Search and Retrieval System

Selnur Erdal, Umit V. Catalyurek, Philip R. O. Payne, Joel Saltz, Jyoti Kamal, Metin N. Gurcan
2007 Journal of digital imaging  
Clinical data that may be used in a secondary capacity to support research activities are regularly stored in three significantly different formats: (1) structured, codified data elements; (2) semi-structured  ...  We will frame our discussion within the specific experimental context of the concept-oriented query and integration of correlated structured data, narrative text, and images for cancer research.  ...  INTRODUCTION W ithin academic medical centers, large amounts of multi-dimensional, heterogeneous data are collected electronically on an ongoing basis.  ... 
doi:10.1007/s10278-007-9086-8 pmid:18040742 pmcid:PMC3043680 fatcat:6ixgqqqkd5edvh2io2xacw6hla

The Role of DICOM in Artificial Intelligence for Skin Disease

Liam J. Caffery, Veronica Rotemberg, Jochen Weber, H. Peter Soyer, Josep Malvehy, David Clunie
2021 Frontiers in Medicine  
At present, AI for skin disease is embedded in research and development and not practiced widely in clinical dermatology.  ...  There is optimism that artificial intelligence (AI) will result in positive clinical outcomes, which is driving research and investment in the use of AI for skin disease.  ...  DICOM's de-identification profiles (35) , which are used to address privacy issues for multi-center clinical trials, can be directly applied to the amalgamation of machine learning datasets.  ... 
doi:10.3389/fmed.2020.619787 pmid:33644087 pmcid:PMC7902872 fatcat:oqz3iyczhnhlnpjwomaae6xxuu

Development of Good Practice compliant Clinical Trial Imaging Management System for multi-center clinical trials (Preprint)

Yongbin Shin, Kyung Won Kim, Junghyun Lee, Yu Sub Sung, Suah Ahn, Ja Hwan Koo, Chang Gyu Choi, Ho Sung Kim, Seong Ho Park
2019 JMIR Medical Informatics  
With the rapid increase in utilization of imaging endpoints in multicenter clinical trials, the amount of data and workflow complexity have also increased.  ...  A Clinical Trial Imaging Management System (CTIMS) is required to comprehensively support imaging processes in clinical trials.  ...  Acknowledgments This research was supported by a grant from the National Research Foundation of Korea (#2017R1A2B3011475).  ... 
doi:10.2196/14310 pmid:31471962 pmcid:PMC6743263 fatcat:6qiglzluw5etzfyrr45gro6yvq
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