Literature DB >> 28840365

Radiology and Enterprise Medical Imaging Extensions (REMIX).

Barbaros S Erdal1, Luciano M Prevedello2, Songyue Qian2, Mutlu Demirer2, Kevin Little2, John Ryu2, Thomas O'Donnell3, Richard D White2.   

Abstract

Radiology and Enterprise Medical Imaging Extensions (REMIX) is a platform originally designed to both support the medical imaging-driven clinical and clinical research operational needs of Department of Radiology of The Ohio State University Wexner Medical Center. REMIX accommodates the storage and handling of "big imaging data," as needed for large multi-disciplinary cancer-focused programs. The evolving REMIX platform contains an array of integrated tools/software packages for the following: (1) server and storage management; (2) image reconstruction; (3) digital pathology; (4) de-identification; (5) business intelligence; (6) texture analysis; and (7) artificial intelligence. These capabilities, along with documentation and guidance, explaining how to interact with a commercial system (e.g., PACS, EHR, commercial database) that currently exists in clinical environments, are to be made freely available.

Entities:  

Keywords:  Artificial intelligence; Business intelligence; Enterprise medical imaging; Image reconstruction; Quantitative imaging

Mesh:

Year:  2018        PMID: 28840365      PMCID: PMC5788816          DOI: 10.1007/s10278-017-0010-6

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  30 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  Noise and resolution in images reconstructed with FBP and OSC algorithms for CT.

Authors:  A Ziegler; T Köhler; R Proksa
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

3.  Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.

Authors:  Luciano M Prevedello; Barbaros S Erdal; John L Ryu; Kevin J Little; Mutlu Demirer; Songyue Qian; Richard D White
Journal:  Radiology       Date:  2017-07-03       Impact factor: 11.105

4.  Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients.

Authors:  Dow-Mu Koh; Erica Scurr; David Collins; Baris Kanber; Andrew Norman; Martin O Leach; Janet E Husband
Journal:  AJR Am J Roentgenol       Date:  2007-04       Impact factor: 3.959

Review 5.  Modified RECIST (mRECIST) assessment for hepatocellular carcinoma.

Authors:  Riccardo Lencioni; Josep M Llovet
Journal:  Semin Liver Dis       Date:  2010-02-19       Impact factor: 6.115

Review 6.  Machine learning and radiology.

Authors:  Shijun Wang; Ronald M Summers
Journal:  Med Image Anal       Date:  2012-02-23       Impact factor: 8.545

7.  Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.

Authors:  Joseph Awad; Amir Owrangi; Lauren Villemaire; Elaine O'Riordan; Grace Parraga; Aaron Fenster
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

8.  CT Gray-Level Texture Analysis as a Quantitative Imaging Biomarker of Epidermal Growth Factor Receptor Mutation Status in Adenocarcinoma of the Lung.

Authors:  Efe Ozkan; Anna West; Jeffrey A Dedelow; Benjamin F Chu; Weiqiang Zhao; Vedat O Yildiz; Gregory A Otterson; Konstantin Shilo; Subha Ghosh; Mark King; Richard D White; Barbaros S Erdal
Journal:  AJR Am J Roentgenol       Date:  2015-11       Impact factor: 3.959

9.  Magnetic resonance fingerprinting.

Authors:  Dan Ma; Vikas Gulani; Nicole Seiberlich; Kecheng Liu; Jeffrey L Sunshine; Jeffrey L Duerk; Mark A Griswold
Journal:  Nature       Date:  2013-03-14       Impact factor: 49.962

10.  Radiomics: Images Are More than Pictures, They Are Data.

Authors:  Robert J Gillies; Paul E Kinahan; Hedvig Hricak
Journal:  Radiology       Date:  2015-11-18       Impact factor: 11.105

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  1 in total

Review 1.  Interventional Radiology ex-machina: impact of Artificial Intelligence on practice.

Authors:  Martina Gurgitano; Salvatore Alessio Angileri; Giovanni Maria Rodà; Alessandro Liguori; Marco Pandolfi; Anna Maria Ierardi; Bradford J Wood; Gianpaolo Carrafiello
Journal:  Radiol Med       Date:  2021-04-16       Impact factor: 3.469

  1 in total

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