Read by QxMD icon Read

Imaging informatics

Les R Folio, Laura B Machado, Andrew J Dwyer
Multimedia-enhanced radiology report (MERR) development is defined and described from an informatics perspective, in which the MERR is seen as a superior information-communicating entity. Recent technical advances, such as the hyperlinking of report text directly to annotated images, improve MERR information content and accessibility compared with text-only reports. The MERR is analyzed by its components, which include hypertext, tables, graphs, embedded images, and their interconnections. The authors highlight the advantages of each component for improving the radiologist's communication of report content information and the user's ability to extract information...
March 2018: Radiographics: a Review Publication of the Radiological Society of North America, Inc
Akanksha Juneja, Bharti Rana, R K Agrawal
BACKGROUND AND OBJECTIVES: Schizophrenia is a severe brain disorder primarily diagnosed through externally observed behavioural symptoms due to the dearth of established clinical tests. Functional magnetic resonance imaging (fMRI) can capture the distortions caused by schizophrenia in the brain activation. Hence, it can be useful for developing a decision model that performs computer-aided diagnosis of schizophrenia. But, fMRI data is huge in dimension. Therefore dimension reduction is indispensable...
March 2018: Computer Methods and Programs in Biomedicine
Steve Harris, Sinan Shi, David Brealey, Niall S MacCallum, Spiros Denaxas, David Perez-Suarez, Ari Ercole, Peter Watkinson, Andrew Jones, Simon Ashworth, Richard Beale, Duncan Young, Stephen Brett, Mervyn Singer
OBJECTIVE: To build and curate a linkable multi-centre database of high resolution longitudinal electronic health records (EHR) from adult Intensive Care Units (ICU). To develop a set of open-source tools to make these data 'research ready' while protecting patient's privacy with a particular focus on anonymisation. MATERIALS AND METHODS: We developed a scalable EHR processing pipeline for extracting, linking, normalising and curating and anonymising EHR data. Patient and public involvement was sought from the outset, and approval to hold these data was granted by the NHS Health Research Authority's Confidentiality Advisory Group (CAG)...
April 2018: International Journal of Medical Informatics
Timothy P Szczykutowicz, Christina L Brunnquell, Gregory D Avey, Carrie Bartels, Daryn S Belden, Richard J Bruce, Aaron S Field, Walter W Peppler, Peter Wasmund, Gary Wendt
Many facets of an image acquisition workflow leave a digital footprint, making workflow analysis amenable to an informatics-based solution. This paper describes a detailed framework for analyzing workflow and uses acute stroke response timeliness in CT as a practical demonstration. We review methods for accessing the digital footprints resulting from common technologist/device interactions. This overview lays a foundation for obtaining data for workflow analysis. We demonstrate the method by analyzing CT imaging efficiency in the setting of acute stroke...
February 5, 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
Shigeto Seno
Bone tissue is a hard tissue, it was difficult to observe the interior of the bone tissue alive. With the progress of microscopic technology and fluorescent probe technology in recent years, it becomes possible to observe various activities of various cells forming bone society. On the other hand, the quantitative increase in data and the diversification and complexity of the images makes it difficult to perform quantitative analysis by visual inspection. It has been expected to develop a methodology for processing microscopic images and data analysis...
2018: Clinical Calcium
Christian Schönbach, Jinyan Li, Lan Ma, Paul Horton, Muhammad Farhan Sjaugi, Shoba Ranganathan
The 16th International Conference on Bioinformatics (InCoB) was held at Tsinghua University, Shenzhen from September 20 to 22, 2017. The annual conference of the Asia-Pacific Bioinformatics Network featured six keynotes, two invited talks, a panel discussion on big data driven bioinformatics and precision medicine, and 66 oral presentations of accepted research articles or posters. Fifty-seven articles comprising a topic assortment of algorithms, biomolecular networks, cancer and disease informatics, drug-target interactions and drug efficacy, gene regulation and expression, imaging, immunoinformatics, metagenomics, next generation sequencing for genomics and transcriptomics, ontologies, post-translational modification, and structural bioinformatics are the subject of this editorial for the InCoB2017 supplement issues in BMC Genomics, BMC Bioinformatics, BMC Systems Biology and BMC Medical Genomics...
January 19, 2018: BMC Genomics
Tien-Wen Lee, Shao-Wei Xue
The default-mode network (DMN) has been reported to comprise a set of inter-connected transmodal cortical areas, including the posterior cingulate cortex (PCC), medial prefrontal cortex, posterior inferior parietal lobule, lateral temporal region, and others. However, the subcortical constituents of the DMN are still not clear. This study aimed to examine whether the correlation maps derived from subcortical structures may also account for neural pattern of the DMN. Structural magnetic resonance imaging (MRI) and resting state functional MRI scans of 36 subjects were selected from the Rockland sample (Nathan Kline Institute)...
January 23, 2018: European Journal of Neuroscience
Nicholas Lubbers, Turab Lookman, Kipton Barros
We apply recent advances in machine learning and computer vision to a central problem in materials informatics: the statistical representation of microstructural images. We use activations in a pretrained convolutional neural network to provide a high-dimensional characterization of a set of synthetic microstructural images. Next, we use manifold learning to obtain a low-dimensional embedding of this statistical characterization. We show that the low-dimensional embedding extracts the parameters used to generate the images...
November 2017: Physical Review. E
Hedvig Hricak
This article is based on the New Horizons lecture delivered at the 2016 Radiological Society of North America Annual Meeting. It addresses looming changes for radiology, many of which stem from the disruptive effects of the Fourth Industrial Revolution. This is an emerging era of unprecedented rapid innovation marked by the integration of diverse disciplines and technologies, including data science, machine learning, and artificial intelligence-technologies that narrow the gap between man and machine. Technologic advances and the convergence of life sciences, physical sciences, and bioengineering are creating extraordinary opportunities in diagnostic radiology, image-guided therapy, targeted radionuclide therapy, and radiology informatics, including radiologic image analysis...
March 2018: Radiology
Ann F Hoffman, John Nolan, David F Gebhard, Debra Nickischer, Wienand Omta, Sam Cooper, Sharon Presnell, Judi Wardwell-Swanson, Myles Fennell
No abstract text is available yet for this article.
January 2018: Assay and Drug Development Technologies
Jessica Lacoste
Jessica Lacoste from the Donnelly Centre at the University of Toronto was awarded best poster at the annual Society of Biomolecular Imaging and Informatics meeting held in San Diego, September 2017. Her work focuses on characterizing the protein localization of variants involved in rare disease. The current works and future directions of research in rare disease are summarized in the following overview.
January 2018: Assay and Drug Development Technologies
Luca Sala, Berend J van Meer, Leon T Tertoolen, Jeroen Bakkers, Milena Bellin, Richard P Davis, Chris N Denning, Michel A Dieben, Thomas Eschenhagen, Elisa Giacomelli, Catarina Grandela, Arne Hansen, Eduard Holman, Monique R Jongbloed, Sarah M Kamel, Charlotte D Koopman, Quentin Lachaud, Ingra Mannhardt, Mervyn P Mol, Diogo Mosqueira, Valeria V Orlova, Robert Passier, Marcelo C Ribeiro, Umber Saleem, Godfrey Smith, Francis L L Burton, Christine L Mummery
Rationale: There are several methods to measure cardiomyocyte (CM) and muscle contraction but these require customized hardware, expensive apparatus and advanced informatics or can only be used in single experimental models. Consequently, data and techniques have been difficult to reproduce across models and laboratories, analysis is time consuming and only specialist researchers can quantify data. Objective: Here we describe and validate an automated, open source software tool (MUSCLEMOTION) adaptable for use with standard laboratory- and clinical imaging equipment that enables quantitative analysis of normal cardiac contraction, disease phenotypes and pharmacological responses...
December 27, 2017: Circulation Research
Sang Jin Kim, J Peter Campbell, Susan Ostmo, Karyn E Jonas, R V Paul Chan, Michael F Chiang
Purpose: The purpose of this study was to characterize a novel finding that relative positions of choroidal and retinal vessels change over time in preterm infants and to identify factors associated with this finding using quantitative analysis. Methods: Fundus images were obtained prospectively through a retinopathy of prematurity (ROP) cohort study. Images were excluded if choroidal vessels could not be identified. Changes in relative position of characteristic choroidal landmarks with respect to retinal vessels between two time points 5 to 7 weeks apart were measured...
December 1, 2017: Investigative Ophthalmology & Visual Science
Jun Cheng, Xiaokui Mo, Xusheng Wang, Anil Parwani, Qianjin Feng, Kun Huang
Motivation: As a highly heterogeneous disease, the progression of tumor is not only achieved by unlimited growth of the tumor cells, but also supported, stimulated, and nurtured by the microenvironment around it. However traditional qualitative and/or semi-quantitative parameters obtained by pathologist's visual examination have very limited capability to capture this interaction between tumor and its microenvironment. With the advent of digital pathology, computerized image analysis may provide a better tumor characterization and give new insights into this problem...
November 9, 2017: Bioinformatics
Valerio Lupperger, Felix Buggenthin, Prisca Chapouton, Carsten Marr
Proliferating stem cells in the adult body are the source of constant regeneration. In the brain, neural stem cells (NSCs) divide to maintain the stem cell population and generate neural progenitor cells that eventually replenish mature neurons and glial cells. How much spatial coordination of NSC division and differentiation is present in a functional brain is an open question. To quantify the patterns of stem cell divisions, one has to (i) identify the pool of NSCs that have the ability to divide, (ii) determine NSCs that divide within a given time window, and (iii) analyze the degree of spatial coordination...
November 10, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
Trinity Urban, Erik Ziegler, Rob Lewis, Chris Hafey, Cheryl Sadow, Annick D Van den Abbeele, Gordon J Harris
Oncology clinical trials have become increasingly dependent upon image-based surrogate endpoints for determining patient eligibility and treatment efficacy. As therapeutics have evolved and multiplied in number, the tumor metrics criteria used to characterize therapeutic response have become progressively more varied and complex. The growing intricacies of image-based response evaluation, together with rising expectations for rapid and consistent results reporting, make it difficult for site radiologists to adequately address local and multicenter imaging demands...
November 1, 2017: Cancer Research
Anne L Martel, Dan Hosseinzadeh, Caglar Senaras, Yu Zhou, Azadeh Yazdanpanah, Rushin Shojaii, Emily S Patterson, Anant Madabhushi, Metin N Gurcan
Pathology Image Informatics Platform (PIIP) is an NCI/NIH sponsored project intended for managing, annotating, sharing, and quantitatively analyzing digital pathology imaging data. It expands on an existing, freely available pathology image viewer, Sedeen. The goal of this project is to develop and embed some commonly used image analysis applications into the Sedeen viewer to create a freely available resource for the digital pathology and cancer research communities. Thus far, new plugins have been developed and incorporated into the platform for out of focus detection, region of interest transformation, and IHC slide analysis...
November 1, 2017: Cancer Research
Debra Nickischer, Lisa Elkin, Normand Cloutier, Jonathan O'Connell, Martyn Banks, Andrea Weston
Within the Drug Discovery industry, there is a growing recognition of the value of high content screening (HCS), particularly as researchers aim to screen compounds and identify hits using more physiologically relevant in vitro cell-based assays. Image-based high content screening, with its combined ability to yield multiparametric data, provide subcellular resolution, and enable cell population analysis, is well suited to this challenge. While HCS has been in routine use for over a decade, a number of hurdles have historically prohibited very large, miniaturized high-throughput screening efforts with this platform...
2018: Methods in Molecular Biology
Andrew S Nencka, Timothy B Meier, Yang Wang, L Tugan Muftuler, Yu-Chien Wu, Andrew J Saykin, Jaroslaw Harezlak, M Alison Brooks, Christopher C Giza, John Difiori, Kevin M Guskiewicz, Jason P Mihalik, Stephen M LaConte, Stefan M Duma, Steven Broglio, Thomas McAllister, Michael A McCrea, Kevin M Koch
The NCAA-DoD Concussion Assessment, Research, and Education (CARE) consortium is performing a large-scale, comprehensive study of sport related concussions in college student-athletes and military service academy cadets. The CARE "Advanced Research Core" (ARC), is focused on executing a cutting-edge investigative protocol on a subset of the overall CARE athlete population. Here, we present the details of the CARE ARC MRI acquisition and processing protocol along with preliminary analyzes of within-subject, between-site, and between-subject stability across a variety of MRI biomarkers...
October 24, 2017: Brain Imaging and Behavior
W Hsu, S Park, Charles E Kahn
Objective: To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. Methods: We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensors, signals, and imaging in medical informatics. The three section editors selected 15 candidate best papers by consensus. Each candidate article was reviewed by the section editors and at least two other external reviewers. The final selection of the six best papers was conducted by the editorial board of the Yearbook...
August 2017: Yearbook of Medical Informatics
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"