Literature DB >> 21562929

A parallel method to improve medical image transmission.

Rouzbeh Maani1, Sergio Camorlinga, Neil Arnason.   

Abstract

The staggering number of images acquired by modern modalities requires new approaches for medical data transmission. There have been several attempts to improve data transmission time between medical imaging systems. These attempts were mostly based on compression. Although the compression methods can help in many cases, they are sometimes ineffectual in high-speed networks. This paper introduces parallelism to provide an effective method of medical data transmission over both local area network (LAN) and wide area network (WAN). It is based on the Digital Imaging and Communications in Medicine (DICOM) protocol and uses parallel TCP connections in storage services within the protocol. Using the proposed interface in our method, current medical imaging applications can take advantage of parallelism without any modification. Experimental results show a speedup of about 1.3 to 1.5 for CT images and relatively high speedup of about 2.2 to 3.5 times for magnetic resonance (MR) images over LAN. The transmission time is improved drastically over WAN. The speedup is about 16.1 for CT images and about 5.6 to 11.5 for MR images.

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Year:  2012        PMID: 21562929      PMCID: PMC3264716          DOI: 10.1007/s10278-011-9387-9

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


  6 in total

1.  Evaluation of JPEG and wavelet compression of body CT images for direct digital teleradiologic transmission.

Authors:  A Kalyanpur; V P Neklesa; C R Taylor; A R Daftary; J A Brink
Journal:  Radiology       Date:  2000-12       Impact factor: 11.105

2.  Irreversible compression of medical images.

Authors:  Bradley J Erickson
Journal:  J Digit Imaging       Date:  2002-04-30       Impact factor: 4.056

3.  Clinical evaluation of compression ratios using JPEG2000 on computed radiography chest images.

Authors:  Min-Mo Sung; Hee-Joung Kim; Sun Kook Yoo; Byoung-Wook Choi; Ji-Eun Nam; Hye-Sung Kim; Jae-Hoon Lee; Hyung-Sik Yoo
Journal:  J Digit Imaging       Date:  2002-09-26       Impact factor: 4.056

4.  DICOM image communication in globus-based medical grids.

Authors:  Michal Vossberg; Thomas Tolxdorff; Dagmar Krefting
Journal:  IEEE Trans Inf Technol Biomed       Date:  2008-03

Review 5.  Advanced image processing in the clinical arena: issues to consider.

Authors:  Katherine P Andriole; Matthew A Barish; Ramin Khorasani
Journal:  J Am Coll Radiol       Date:  2006-04       Impact factor: 5.532

6.  Recording and reenactment of collaborative diagnosis sessions using DICOM.

Authors:  Aldo von Wangenheim; Martin Prüsse; Rafael Simon Maia; Daniel Duarte Abdala; André Germano Regert; Luiz Felipe de Souza Nobre; Eros Comunello
Journal:  J Digit Imaging       Date:  2008-05-30       Impact factor: 4.056

  6 in total
  3 in total

1.  Exploring WebRTC Potential for DICOM File Sharing.

Authors:  Ivan Drnasin; Mislav Grgic; Gordan Gledec
Journal:  J Digit Imaging       Date:  2020-06       Impact factor: 4.056

2.  Progressive Transmission of Medical Images via a Bank of Generative Adversarial Networks.

Authors:  Ching-Chun Chang; Xu Wang; Ji-Hwei Horng; Isao Echizen
Journal:  J Healthc Eng       Date:  2021-04-28       Impact factor: 2.682

3.  Imaging file management to support international telepathology.

Authors:  Liron Pantanowitz; Jeffrey McHugh; William Cable; Chengquan Zhao; Anil V Parwani
Journal:  J Pathol Inform       Date:  2015-03-24
  3 in total

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