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Imaging informatics

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https://www.readbyqxmd.com/read/28087400/plus-disease-in-retinopathy-of-prematurity-diagnostic-trends-in-2016-vs-2007
#1
Chace Moleta, J Peter Campbell, Jayashree Kalpathy-Cramer, Rv Paul Chan, Susan Ostmo, Karyn Jonas, Michael F Chiang
PURPOSE: To identify any temporal trends in the diagnosis of plus disease in retinopathy of prematurity (ROP) by experts. DESIGN: Reliability analysis METHODS: ROP experts were recruited in 2007 and 2016 to classify 34 wide-field fundus images of ROP as plus, pre-plus, or normal, coded as "3," "2," and "1" respectively in the database. The main outcome was the average calculated score for each image in each cohort. Secondary outcomes included correlation on the relative ordering of the images in 2016 versus 2007, inter-expert agreement, and intra-expert agreement RESULTS: The average score for each image was higher for 30/34 (88%) images in 2016 compared to 2007, influenced by fewer images classified as normal (P<0...
January 10, 2017: American Journal of Ophthalmology
https://www.readbyqxmd.com/read/28077885/designing-and-implementation-of-retina-image-drawing-system-and-automatic-report-generation-from-retina-examinations
#2
Reza Safdari, Mehrshad Mokhtaran, Shahram Tahmasebian
INTRODUCTION: Electronic medical records as one of major parts of electronic health records is an important application of Medical Informatics. EMR includes different types of data, Graphical items being one of these data types. To this end, a standard structure for storing and recovering and finally exchanging this data type is required. In order to standardize information items in this research, UMLS standard is used. In this research, graphical information from fondues designing in retina surgery forms is used for the task of implementation...
October 2016: Acta Informatica Medica: AIM
https://www.readbyqxmd.com/read/28057585/an-overview-of-data-science-uses-in-bioimage-informatics
#3
REVIEW
Anatole Chessel
This review aims at providing a practical overview of the use of statistical features and associated data science methods in bioimage informatics. To achieve a quantitative link between images and biological concepts, one typically replaces an object coming from an image (a segmented cell or intracellular object, a pattern of expression or localisation, even a whole image) by a vector of numbers. They range from carefully crafted biologically relevant measurements to features learnt through deep neural networks...
January 2, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/28055930/deep-learning-for-health-informatics
#4
Daniele Ravi, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu Perez, Benny Lo, Guang-Zhong Yang
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid improvements in computational power, fast data storage and parallelization have also contributed to the rapid uptake of the technology in addition to its predictive power and ability to generate automatically optimized high-level features and semantic interpretation from the input data...
December 29, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28051095/optical-high-content-nanoscopy-of-epigenetic-marks-decodes-phenotypic-divergence-in-stem-cells
#5
Joseph J Kim, Neal K Bennett, Mitchel S Devita, Sanjay Chahar, Satish Viswanath, Eunjee A Lee, Giyoung Jung, Paul P Shao, Erin P Childers, Shichong Liu, Anthony Kulesa, Benjamin A Garcia, Matthew L Becker, Nathaniel S Hwang, Anant Madabhushi, Michael P Verzi, Prabhas V Moghe
While distinct stem cell phenotypes follow global changes in chromatin marks, single-cell chromatin technologies are unable to resolve or predict stem cell fates. We propose the first such use of optical high content nanoscopy of histone epigenetic marks (epi-marks) in stem cells to classify emergent cell states. By combining nanoscopy with epi-mark textural image informatics, we developed a novel approach, termed EDICTS (Epi-mark Descriptor Imaging of Cell Transitional States), to discern chromatin organizational changes, demarcate lineage gradations across a range of stem cell types and robustly track lineage restriction kinetics...
January 4, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28050715/workflow-lexicons-in-healthcare-validation-of-the-swim-lexicon
#6
Chris Meenan, Bradley Erickson, Nancy Knight, Jewel Fossett, Elizabeth Olsen, Prerna Mohod, Joseph Chen, Steve G Langer
For clinical departments seeking to successfully navigate the challenges of modern health reform, obtaining access to operational and clinical data to establish and sustain goals for improving quality is essential. More broadly, health delivery organizations are also seeking to understand performance across multiple facilities and often across multiple electronic medical record (EMR) systems. Interpreting operational data across multiple vendor systems can be challenging, as various manufacturers may describe different departmental workflow steps in different ways and sometimes even within a single vendor's installed customer base...
January 3, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28048918/su-f-r-11-designing-quality-and-safety-informatics-through-implementation-of-a-ct-radiation-dose-monitoring-program
#7
J M Wilson, E Samei
PURPOSE: Recent legislative and accreditation requirements have driven rapid development and implementation of CT radiation dose monitoring solutions. Institutions must determine how to improve quality, safety, and consistency of their clinical performance. The purpose of this work was to design a strategy and meaningful characterization of results from an in-house, clinically-deployed dose monitoring solution. METHODS: A dose monitoring platform was designed by our imaging physics group that focused on extracting protocol parameters, dose metrics, and patient demographics and size...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048762/su-f-t-130-18f-fdg-uptake-dose-response-in-lung-correlates-linearly-with-proton-therapy-dose
#8
D Kim, U Titt, D Mirkovic
PURPOSE: Analysis of clinical outcomes in lung cancer patients treated with protons using 18F-FDG uptake in lung as a measure of dose response. METHODS: A test case lung cancer patient was selected in an unbiased way. The test patient's treatment planning and post treatment positron emission tomography (PET) were collected from picture archiving and communication system at the UT M.D. Anderson Cancer Center. Average computerized tomography scan was registered with post PET/CT through both rigid and deformable registrations for selected region of interest (ROI) via VelocityAI imaging informatics software...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048685/tu-d-201-08-experience-complying-with-the-joint-commission-element-of-performance-on-radiation-dose-index-monitoring
#9
M P Supanich
PURPOSE: A new Joint Commission element of performance effective July 2015 requires incidents where the radiation dose index exceeds a defined level be reviewed, analyzed and compared to external benchmarks. This work offers a comprehensive review of the CT exams in which the notification level was exceeded and the reason at one academic medical center. This review may help other institutions set reference levels at clinically relevant values. METHODS: Radiation Dose Structured Reports from each of the 5 diagnostic CT scanners at our institution are automatically sent to our radiation dose index monitoring software platform, Radimetrics from Bayer Healthcare...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048357/su-f-r-05-multidimensional-imaging-radiomics-geodesics-a-novel-manifold-learning-based-automatic-feature-extraction-method-for-diagnostic-prediction-in-multiparametric-imaging
#10
V Parekh, M A Jacobs
PURPOSE: Multiparametric radiological imaging is used for diagnosis in patients. Potentially extracting useful features specific to a patient's pathology would be crucial step towards personalized medicine and assessing treatment options. In order to automatically extract features directly from multiparametric radiological imaging datasets, we developed an advanced unsupervised machine learning algorithm called the multidimensional imaging radiomics-geodesics(MIRaGe). METHODS: Seventy-six breast tumor patients underwent 3T MRI breast imaging were used for this study...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047995/tu-fg-206-00-imaging-informatics
#11
Paul Nagy
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047914/tu-fg-206-03-imaging-informatics-for-the-medical-physicist
#12
P Nagy
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047613/su-f-t-595-pitfalls-of-the-radiosurgery-conformity-index-reported-by-the-brainlab-treatment-planning-system
#13
N Mensah-Brown, H Saleh
PURPOSE: To propose a new method to more accurately compute the conformity index (CI) for stereotactic radiosurgery patients with multiple lesions planned with the BrainLab iPlan treatment planning system. METHODS: The dose files of the patients being studied were exported from the BrainLab iPlan system to VelocityAI, an imaging informatics software tool that provides an independent method of assessing the quality of treatment plans. An independent method of calculating CI is necessary as BrainLab incorrectly reports CI for multiple lesions...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047330/tu-fg-206-01-standards-support-for-color-in-medical-imaging
#14
M Flynn
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046662/tu-fg-206-02-medical-physics-imaging-informatics-in-the-classroom-and-in-practice
#15
W Sensakovic
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28034673/high-content-image-informatics-of-the-structural-nuclear-protein-numa-parses-trajectories-for-stem-progenitor-cell-lineages-and-oncogenic-transformation
#16
Sebastián L Vega, Er Liu, Varun Arvind, Jared Bushman, Hak-Joon Sung, Matthew L Becker, Sophie Lelièvre, Joachim Kohn, Pierre-Alexandre Vidi, Prabhas V Moghe
Stem and progenitor cells that exhibit significant regenerative potential and critical roles in cancer initiation and progression remain difficult to characterize. Cell fates are determined by reciprocal signaling between the cell microenvironment and the nucleus; hence parameters derived from nuclear remodeling are ideal candidates for stem/progenitor cell characterization. Here we applied high-content, single cell analysis of nuclear shape and organization to examine stem and progenitor cells destined to distinct differentiation endpoints, yet undistinguishable by conventional methods...
December 27, 2016: Experimental Cell Research
https://www.readbyqxmd.com/read/28027164/meeting-the-needs-for-radiation-protection-diagnostic-imaging
#17
Donald P Frush
Radiation and potential risk during medical imaging is one of the foremost issues for the imaging community. Because of this, there are growing demands for accountability, including appropriate use of ionizing radiation in diagnostic and image-guided procedures. Factors contributing to this include increasing use of medical imaging; increased scrutiny (from awareness to alarm) by patients/caregivers and the public over radiation risk; and mounting calls for accountability from regulatory, accrediting, healthcare coverage (e...
February 2017: Health Physics
https://www.readbyqxmd.com/read/28005393/multiplexed-single-cell-imaging-past-present-and-future
#18
Jia-Ren Lin
Jia-Ren Lin from the Laboratory of Systems Pharmacology at Harvard Medical School was awarded best poster at the annual Society of Biomolecular Imaging and Informatics meeting held in Boston, September 2016. His work focuses on single-cell imaging, especially on developing new methods for simultaneously detecting many antigens, named cyclic immunofluorescence (CycIF). This method could be applied in different stages of drug development, from discovery phase, preclinical research to clinical research. The current works and future directions of CycIF method are summarized in the following overview...
December 22, 2016: Assay and Drug Development Technologies
https://www.readbyqxmd.com/read/27899677/the-mouse-gene-expression-database-gxd-2017-update
#19
Jacqueline H Finger, Constance M Smith, Terry F Hayamizu, Ingeborg J McCright, Jingxia Xu, Meiyee Law, David R Shaw, Richard M Baldarelli, Jon S Beal, Olin Blodgett, Jeff W Campbell, Lori E Corbani, Jill R Lewis, Kim L Forthofer, Pete J Frost, Sharon C Giannatto, Lucie N Hutchins, Dave B Miers, Howie Motenko, Kevin R Stone, Janan T Eppig, James A Kadin, Joel E Richardson, Martin Ringwald
The Gene Expression Database (GXD; www.informatics.jax.org/expression.shtml) is an extensive and well-curated community resource of mouse developmental expression information. Through curation of the scientific literature and by collaborations with large-scale expression projects, GXD collects and integrates data from RNA in situ hybridization, immunohistochemistry, RT-PCR, northern blot and western blot experiments. Expression data from both wild-type and mutant mice are included. The expression data are combined with genetic and phenotypic data in Mouse Genome Informatics (MGI) and made readily accessible to many types of database searches...
January 4, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/27857824/medical-image-encryption-an-application-for-improved-padding-based-ggh-encryption-algorithm
#20
Massoud Sokouti, Ali Zakerolhosseini, Babak Sokouti
Medical images are regarded as important and sensitive data in the medical informatics systems. For transferring medical images over an insecure network, developing a secure encryption algorithm is necessary. Among the three main properties of security services ( i.e. , confidentiality, integrity, and availability), the confidentiality is the most essential feature for exchanging medical images among physicians. The Goldreich Goldwasser Halevi (GGH) algorithm can be a good choice for encrypting medical images as both the algorithm and sensitive data are represented by numeric matrices...
2016: Open Medical Informatics Journal
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