Compressed Medical Image Transmission in Telemedicine Architecture

2018 ◽  
pp. 205-212 ◽  
Author(s):  
Vibha Tiwari ◽  
Prashant P. Bansod ◽  
Abhay Kumar
Keyword(s):  
Medical Image ◽  
Image Transmission

A Study on the Medical Image Transmission Service Based on IEEE 802.15.4a

2007 ◽  
pp. 159-167 ◽  
Author(s):  
Yang-Sun Lee ◽  
Jae-Min Kwak ◽  
Sung-Eon Cho ◽  
Ji-Woong Kim ◽  
Heau-Jo Kang
Keyword(s):  
Medical Image ◽  
Image Transmission ◽  
Ieee 802.15.4A

An Efficient DCT-Based Cryptocompression Scheme for a Secure and Authentic Medical Image Transmission

2006 ◽  
Vol 34 (6) ◽  
pp. 100062
Author(s):  
MS Bouhlel ◽  
F Kammoun ◽  
E Garcia
Keyword(s):  
Medical Image ◽  
Image Transmission

Breaking the bottleneck: high-speed medical image transmission through ATM network--implementation and application

1997 ◽  
Author(s):  
Hailei L. Dai ◽  
Marion C. Meissner ◽  
Kevin R. Cleary ◽  
James E. Rodgers
Keyword(s):  
Medical Image ◽  
High Speed ◽  
Image Transmission ◽  
Atm Network

Using J2EE for Medical Image Transmission in a PACS System

2013 ◽  
Vol 336-338 ◽  
pp. 2335-2338
Author(s):  
Shao Qing Wang ◽  
Dong Yue Yu ◽  
Jin Yong Cheng ◽  
Peng Cheng Wang ◽  
Wei Yu Zhang
Keyword(s):  
Medical Image ◽  
Image Transmission ◽  
Dicom Standard ◽  
Application Development ◽  
Client Server ◽  
Enterprise Application ◽  
Meta Information ◽  
Cross Platform ◽  
Server Architecture ◽  
Pacs System

This paper developed a distributional PACS system conform to the J2EE specification, implemented the DICOM images receiving, storage and archiving on the basis of the DICOM standard. Extract meta information and stored in the database. Visit from different clients of different platforms to look up patient and some management. Web Service provides services functions. The System is a true cross-platform, provides a good background support for remote diagnosis system and the borderless PACS system. Compared to the traditional PACS, the PACS based on J2EE specification is easier to install and manage and more security and flexible, overcome the traditional faults of pure Client/Server model or Browser/Server architecture. Simplifies enterprise application development, management and deploy as a distributional and portable PACS.

scholarly journals FPGA Implementation of Improved Security Approach for Medical Image Encryption and Decryption

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Amal Hafsa ◽  
Mohamed Gafsi ◽  
Jihene Malek ◽  
Mohsen Machhout
Keyword(s):  
Image Encryption ◽  
Medical Image ◽  
Logistic Map ◽  
Security Analysis ◽  
Image Transmission ◽  
Random Permutation ◽  
Pseudorandom Number Generator ◽  
Cryptographic Algorithm ◽  
Encryption Decryption ◽  
Experimental Findings

Securing medical images is a great challenge to protect medical privacy. An image encryption model founded on a complex chaos-based Pseudorandom Number Generator (PRNG) and Modified Advanced Encryption Standard (MAES) is put forward in this paper. Our work consists of the following three main points. First, we propose the use of a complex PRNG based on two different chaotic systems which are the 2D Logistic map in a complex set and Henon’s system in the key generation procedure. Second, in the MAES 128 bits, the subbytes’ operation is performed using four different S-boxes for more complexity. Third, both shift-rows’ and mix-columns’ transformations are eliminated and replaced with a random permutation method which increases the complexity. More importantly, only four rounds of encryption are performed in a loop that reduces significantly the execution time. The overall system is implemented on the Altera Cyclone III board, which is completed with an SD card interface for medical image storage and a VGA interface for image display. The HPS software runs on μClinux and is used to control the FPGA encryption-decryption algorithm and image transmission. Experimental findings prove that the propounded map used has a keyspace sufficiently large and the proposed image encryption algorithm augments the entropy of the ciphered image compared to the AES standard and reduces the complexity time by 97%. The power consumption of the system is 136.87 mw and the throughput is 1.34 Gbit/s. The proposed technique is compared to recent image cryptosystems including hardware performances and different security analysis properties, such as randomness, sensitivity, and correlation of the encrypted images and results prove that our cryptographic algorithm is faster, more efficient, and can resist any kind of attacks.

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