Literature DB >> 30109521

Synchronization and Alignment of Follow-up Examinations: a Practical and Educational Approach Using the DICOM Reference Coordinate System.

Sebastian Nowak1, Alois M Sprinkart2.   

Abstract

This work presents an approach for synchronization and alignment of Digital Imaging and Communications in Medicine (DICOM) series from different studies that allows, e.g., easier reading of follow-up examinations. The proposed concept developed within the DICOM's patient-based reference coordinate system allows to synchronize all image data of two different studies/examinations based on a single registration. The most suitable DICOM series for registration could be set as default per protocol. Necessary basics regarding the DICOM standard and the used mathematical transformations are presented in an educative way to allow straightforward implementation in Picture Archiving And Communications Systems (PACS) and other DICOM tools. The proposed method for alignment of DICOM images is potentially also useful for various scientific tasks and machine-learning applications.

Entities:  

Keywords:  DICOM; Image alignment; Image coordinate system; Medical image registration; Multiparametric analyses; Reference coordinate system

Year:  2019        PMID: 30109521      PMCID: PMC6382644          DOI: 10.1007/s10278-018-0117-4

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


  10 in total

1.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

Review 2.  Mutual-information-based registration of medical images: a survey.

Authors:  Josien P W Pluim; J B Antoine Maintz; Max A Viergever
Journal:  IEEE Trans Med Imaging       Date:  2003-08       Impact factor: 10.048

3.  A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging.

Authors:  Daniel Haak; Charles-E Page; Thomas M Deserno
Journal:  J Digit Imaging       Date:  2016-04       Impact factor: 4.056

Review 4.  Deformable medical image registration: setting the state of the art with discrete methods.

Authors:  Ben Glocker; Aristeidis Sotiras; Nikos Komodakis; Nikos Paragios
Journal:  Annu Rev Biomed Eng       Date:  2011-08-15       Impact factor: 9.590

5.  Analysis of interpolation effects in the reslicing of functional MR images.

Authors:  J L Ostuni; A K Santha; V S Mattay; D R Weinberger; R L Levin; J A Frank
Journal:  J Comput Assist Tomogr       Date:  1997 Sep-Oct       Impact factor: 1.826

6.  Registration of FA and T1-weighted MRI data of healthy human brain based on template matching and normalized cross-correlation.

Authors:  Milos Malinsky; Roman Peter; Erlend Hodneland; Astri J Lundervold; Arvid Lundervold; Jiri Jan
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

7.  The first step for neuroimaging data analysis: DICOM to NIfTI conversion.

Authors:  Xiangrui Li; Paul S Morgan; John Ashburner; Jolinda Smith; Christopher Rorden
Journal:  J Neurosci Methods       Date:  2016-03-02       Impact factor: 2.390

8.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee.

Authors:  E S Grood; W J Suntay
Journal:  J Biomech Eng       Date:  1983-05       Impact factor: 2.097

9.  An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.

Authors:  Farnaz Hoseini; Asadollah Shahbahrami; Peyman Bayat
Journal:  J Digit Imaging       Date:  2018-10       Impact factor: 4.056

Review 10.  The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Authors:  Bjoern H Menze; Andras Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth Gerstner; Marc-André Weber; Tal Arbel; Brian B Avants; Nicholas Ayache; Patricia Buendia; D Louis Collins; Nicolas Cordier; Jason J Corso; Antonio Criminisi; Tilak Das; Hervé Delingette; Çağatay Demiralp; Christopher R Durst; Michel Dojat; Senan Doyle; Joana Festa; Florence Forbes; Ezequiel Geremia; Ben Glocker; Polina Golland; Xiaotao Guo; Andac Hamamci; Khan M Iftekharuddin; Raj Jena; Nigel M John; Ender Konukoglu; Danial Lashkari; José Antonió Mariz; Raphael Meier; Sérgio Pereira; Doina Precup; Stephen J Price; Tammy Riklin Raviv; Syed M S Reza; Michael Ryan; Duygu Sarikaya; Lawrence Schwartz; Hoo-Chang Shin; Jamie Shotton; Carlos A Silva; Nuno Sousa; Nagesh K Subbanna; Gabor Szekely; Thomas J Taylor; Owen M Thomas; Nicholas J Tustison; Gozde Unal; Flor Vasseur; Max Wintermark; Dong Hye Ye; Liang Zhao; Binsheng Zhao; Darko Zikic; Marcel Prastawa; Mauricio Reyes; Koen Van Leemput
Journal:  IEEE Trans Med Imaging       Date:  2014-12-04       Impact factor: 10.048

  10 in total

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