Literature DB >> 24338090

Medical image file formats.

Michele Larobina1, Loredana Murino.   

Abstract

Image file format is often a confusing aspect for someone wishing to process medical images. This article presents a demystifying overview of the major file formats currently used in medical imaging: Analyze, Neuroimaging Informatics Technology Initiative (Nifti), Minc, and Digital Imaging and Communications in Medicine (Dicom). Concepts common to all file formats, such as pixel depth, photometric interpretation, metadata, and pixel data, are first presented. Then, the characteristics and strengths of the various formats are discussed. The review concludes with some predictive considerations about the future trends in medical image file formats.

Mesh：

Year:  2014        PMID： 24338090      PMCID： PMC3948928          DOI： 10.1007/s10278-013-9657-9

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


  12 in total

Review 1.  The problem of functional localization in the human brain.

Authors:  Matthew Brett; Ingrid S Johnsrude; Adrian M Owen
Journal:  Nat Rev Neurosci       Date:  2002-03       Impact factor: 34.870

2.  A file format for the exchange of nuclear medicine image data: a specification of Interfile version 3.3.

Authors:  A Todd-Pokropek; T D Cradduck; F Deconinck
Journal:  Nucl Med Commun       Date:  1992-09       Impact factor: 1.690

3.  A method for calculating the dose length product from CT DICOM images.

Authors:  I A Tsalafoutas; S I Metallidis
Journal:  Br J Radiol       Date:  2010-11-16       Impact factor: 3.039

4.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

5.  Analyze: a comprehensive, operator-interactive software package for multidimensional medical image display and analysis.

Authors:  R A Robb; D P Hanson; R A Karwoski; A G Larson; E L Workman; M C Stacy
Journal:  Comput Med Imaging Graph       Date:  1989 Nov-Dec       Impact factor: 4.790

Review 6.  AFNI: what a long strange trip it's been.

Authors:  Robert W Cox
Journal:  Neuroimage       Date:  2011-08-27       Impact factor: 6.556

7.  LONI MiND: metadata in NIfTI for DWI.

Authors:  Vishal Patel; Ivo D Dinov; John D Van Horn; Paul M Thompson; Arthur W Toga
Journal:  Neuroimage       Date:  2010-03-03       Impact factor: 6.556

Review 8.  Understanding and using DICOM, the data interchange standard for biomedical imaging.

Authors:  W D Bidgood; S C Horii; F W Prior; D E Van Syckle
Journal:  J Am Med Inform Assoc       Date:  1997 May-Jun       Impact factor: 4.497

Review 9.  OsiriX: an open-source software for navigating in multidimensional DICOM images.

Authors:  Antoine Rosset; Luca Spadola; Osman Ratib
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

Review 10.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556
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  26 in total

1.  Workflow for Visualization of Neuroimaging Data with an Augmented Reality Device.

Authors:  Christof Karmonik; Timothy B Boone; Rose Khavari
Journal:  J Digit Imaging       Date:  2018-02       Impact factor: 4.056

2.  Clinical Applications of a CT Window Blending Algorithm: RADIO (Relative Attenuation-Dependent Image Overlay).

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Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

3.  A Connectomic Atlas of the Human Cerebrum-Chapter 1: Introduction, Methods, and Significance.

Authors:  Cordell M Baker; Joshua D Burks; Robert G Briggs; Andrew K Conner; Chad A Glenn; Goksel Sali; Tressie M McCoy; James D Battiste; Daniel L O'Donoghue; Michael E Sughrue
Journal:  Oper Neurosurg (Hagerstown)       Date:  2018-12-01       Impact factor: 2.703

4.  Semi-automated pulmonary nodule interval segmentation using the NLST data.

Authors:  Yoganand Balagurunathan; Andrew Beers; Jayashree Kalpathy-Cramer; Michael McNitt-Gray; Lubomir Hadjiiski; Bensheng Zhao; Jiangguo Zhu; Hao Yang; Stephen S F Yip; Hugo J W L Aerts; Sandy Napel; Dmitrii Cherezov; Kenny Cha; Heang-Ping Chan; Carlos Flores; Alberto Garcia; Robert Gillies; Dmitry Goldgof
Journal:  Med Phys       Date:  2018-02-19       Impact factor: 4.071

5.  Imaging Biomarker Development for Lower Back Pain Using Machine Learning: How Image Analysis Can Help Back Pain.

Authors:  Bilwaj Gaonkar; Kirstin Cook; Bryan Yoo; Banafsheh Salehi; Luke Macyszyn
Journal:  Methods Mol Biol       Date:  2022

Review 6.  The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancer.

Authors:  Tom Konert; Jeroen B van de Kamer; Jan-Jakob Sonke; Wouter V Vogel
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

7.  DeepNeuro: an open-source deep learning toolbox for neuroimaging.

Authors:  Andrew Beers; James Brown; Ken Chang; Katharina Hoebel; Jay Patel; K Ina Ly; Sara M Tolaney; Priscilla Brastianos; Bruce Rosen; Elizabeth R Gerstner; Jayashree Kalpathy-Cramer
Journal:  Neuroinformatics       Date:  2021-01

8.  Federated learning improves site performance in multicenter deep learning without data sharing.

Authors:  Karthik V Sarma; Stephanie Harmon; Thomas Sanford; Holger R Roth; Ziyue Xu; Jesse Tetreault; Daguang Xu; Mona G Flores; Alex G Raman; Rushikesh Kulkarni; Bradford J Wood; Peter L Choyke; Alan M Priester; Leonard S Marks; Steven S Raman; Dieter Enzmann; Baris Turkbey; William Speier; Corey W Arnold
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

9.  A semi-automated measuring system of brain diffusion and perfusion magnetic resonance imaging abnormalities in patients with multiple sclerosis based on the integration of coregistration and tissue segmentation procedures.

Authors:  Alfredo Revenaz; Massimiliano Ruggeri; Marcella Laganà; Niels Bergsland; Elisabetta Groppo; Marco Rovaris; Enrico Fainardi
Journal:  BMC Med Imaging       Date:  2016-01-14       Impact factor: 1.930

10.  A Method for the Interpretation of Flow Cytometry Data Using Genetic Algorithms.

Authors:  Cesar Angeletti
Journal:  J Pathol Inform       Date:  2018-04-20
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