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Imaging informatics

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https://www.readbyqxmd.com/read/28280932/bits-and-bytes-the-future-of-radiology-lies-in-informatics-and-information-technology
#1
James A Brink, Ronald L Arenson, Thomas M Grist, Jonathan S Lewin, Dieter Enzmann
Advances in informatics and information technology are sure to alter the practice of medical imaging and image-guided therapies substantially over the next decade. Each element of the imaging continuum will be affected by substantial increases in computing capacity coincident with the seamless integration of digital technology into our society at large. This article focuses primarily on areas where this IT transformation is likely to have a profound effect on the practice of radiology. KEY POINTS: • Clinical decision support ensures consistent and appropriate resource utilization...
March 9, 2017: European Radiology
https://www.readbyqxmd.com/read/28220414/quantitative-analysis-of-ligand-induced-endocytosis-of-flagellin-sensing-2-using-automated-image-segmentation
#2
Michelle E Leslie, Antje Heese
Plants are equipped with a suite of plant pattern recognition receptors (PRRs) that must be properly trafficked to and from the plasma membrane (PM), which serves as the host-pathogen interface, for robust detection of invading pathogenic microbes. Recognition of bacterial flagellin, or the derived peptide flg22, is facilitated by the PM-localized PRR, FLAGELLIN SENSING 2 (FLS2). Upon flg22 binding, FLS2 is rapidly internalized from the PM into endosomal compartments and subsequently degraded. To understand better the integration of FLS2 endocytosis and signaling outputs, we developed methods for the quantitative analysis of FLS2 trafficking using freely available bioimage informatic tools...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28161513/the-burden-of-proof-the-current-state-of-atrial-fibrillation-prevention-and-treatment-trials
#3
Rosita Zakeri, David R Van Wagoner, Hugh Calkins, Tom Wong, Heather M Ross, E Kevin Heist, Timothy E Meyer, Peter R Kowey, Robert J Mentz, John G Cleland, Bertram Pitt, Faiez Zannad, Cecilia Linde
Atrial fibrillation (AF) is an age-related arrhythmia of enormous socioeconomic significance. In recent years, our understanding of the basic mechanisms that initiate and perpetuate AF has evolved rapidly, catheter ablation of AF has progressed from concept to reality, and recent studies suggest lifestyle modification may help prevent AF recurrence. Emerging developments in genetics, imaging, and informatics also present new opportunities for personalized care. However, considerable challenges remain. These include a paucity of studies examining AF prevention, modest efficacy of existing antiarrhythmic therapies, diverse ablation technologies and practice, and limited evidence to guide management of high-risk patients with multiple comorbidities...
February 2, 2017: Heart Rhythm: the Official Journal of the Heart Rhythm Society
https://www.readbyqxmd.com/read/28144731/-erratum-to-annual-report-of-the-working-group-on-informatics-innovative-imaging-and-biobanking-of-the-german-society-for-pathology
#4
G Kayser, G Haroske
No abstract text is available yet for this article.
January 31, 2017: Der Pathologe
https://www.readbyqxmd.com/read/28100277/stress-echo-2020-the-international-stress-echo-study-in-ischemic-and-non-ischemic-heart-disease
#5
MULTICENTER STUDY
Eugenio Picano, Quirino Ciampi, Rodolfo Citro, Antonello D'Andrea, Maria Chiara Scali, Lauro Cortigiani, Iacopo Olivotto, Fabio Mori, Maurizio Galderisi, Marco Fabio Costantino, Lorenza Pratali, Giovanni Di Salvo, Eduardo Bossone, Francesco Ferrara, Luna Gargani, Fausto Rigo, Nicola Gaibazzi, Giuseppe Limongelli, Giuseppe Pacileo, Maria Grazia Andreassi, Bruno Pinamonti, Laura Massa, Marco A R Torres, Marcelo H Miglioranza, Clarissa Borguezan Daros, José Luis de Castro E Silva Pretto, Branko Beleslin, Ana Djordjevic-Dikic, Albert Varga, Attila Palinkas, Gergely Agoston, Dario Gregori, Paolo Trambaiolo, Sergio Severino, Ayana Arystan, Marco Paterni, Clara Carpeggiani, Paolo Colonna
BACKGROUND: Stress echocardiography (SE) has an established role in evidence-based guidelines, but recently its breadth and variety of applications have extended well beyond coronary artery disease (CAD). We lack a prospective research study of SE applications, in and beyond CAD, also considering a variety of signs in addition to regional wall motion abnormalities. METHODS: In a prospective, multicenter, international, observational study design, > 100 certified high-volume SE labs (initially from Italy, Brazil, Hungary, and Serbia) will be networked with an organized system of clinical, laboratory and imaging data collection at the time of physical or pharmacological SE, with structured follow-up information...
January 18, 2017: Cardiovascular Ultrasound
https://www.readbyqxmd.com/read/28092459/toward-high-throughput-and-multiplexed-imaging-of-genome-organization
#6
Eric F Joyce
Dr. Eric Joyce from the Department of Genetics at the University of Pennsylvania was awarded The President's Innovation award at the annual Society of Biomolecular Imaging and Informatics meeting held in Boston, September 2016. Chromosome interactions are a fundamental aspect of nuclear organization that can activate and silence genes or even direct chromosome rearrangements. However, the molecular mechanisms underlying how chromosomal segments find each other and form stable interactions within cells remain unknown...
January 2017: Assay and Drug Development Technologies
https://www.readbyqxmd.com/read/28087400/plus-disease-in-retinopathy-of-prematurity-diagnostic-trends-in-2016-vs-2007
#7
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
#8
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
#9
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 3, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/28055930/deep-learning-for-health-informatics
#10
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...
January 2017: 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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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