A remote real-time PACS-based platform for medical imaging telemedicine

Maani, Rouzbeh; Camorlinga, Sergio; Eskicioglu, Rasit

doi:10.1117/12.811621

Cited by 7 publications

(10 citation statements)

References 15 publications

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“…Some examples are presented in [3][4][5][6]. Prasad et al [3] provided a tool for doctors to view medical images online and collaborate over the Internet.…”

Section: Introductionmentioning

confidence: 99%

A Parallel Method to Improve Medical Image Transmission

2011

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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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“…Some examples are presented in [3][4][5][6]. Prasad et al [3] provided a tool for doctors to view medical images online and collaborate over the Internet.…”

Section: Introductionmentioning

confidence: 99%

A Parallel Method to Improve Medical Image Transmission

2011

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“…Users only need to have the pixel information to see the 3D image and it is very hard to reconstruct the raw images from the processed 3D visualized image (i.e., the reverse procedure shown in Figure 3.11). In addition to security, this feature also helps systems that support real-time access capability because instead of sending all individual images of a medical study, pixel information (that has a smaller volume in comparison with the total volume of individual images) is sent [7].…”

Section: Sharedappvnc Could Not Run Properly On Recent Versions Of LImentioning

confidence: 99%

“…Nonetheless, there are some approaches that have noticed this essential feature [7; 45; 46]. Maani et al [7] proposed a framework that is PACS-based. The framework uses a parallel processing center based on parallel architectures to process medical data.…”

Section: Pacs-connectivitymentioning

confidence: 99%

“…For instance a 3D visualization application combines several images together and applies some algorithms to show a 3D visualized image. [7] and [81]). …”

Section: Sharedappvnc Could Not Run Properly On Recent Versions Of LImentioning

confidence: 99%

“…Medical imaging systems employ several components to provide services to the users. The components can be classified into three major groups [7]:…”

Section: Medical Imaging Systemsmentioning

confidence: 99%

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Transforming medical imaging applications into collaborative PACS-based telemedical systems

2011

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One of the medical technologies distinguished for its clinical value is telemedicine.Telemedical systems provide healthcare services at any time and any where irrespective of geographical location. These systems are even more interesting when they provide collaboration among the users (e.g., teleconferencing). Nonetheless, all these systems are not practical for use in clinical workflow unless they are able to communicate with the Picture Archiving and Communications System (PACS). On the other hand, there are many medical imaging applications that are not developed as telemedical systems. A large number of them do not support collaboration and many do not communicate with the PACS and therefore cannot be directly used in clinical workflows.This thesis presents an approach based on a three-tier architecture. The architecture and the developed components within it transform medical imaging applications into collaborative, PACS-based, telemedical systems. As a result, current developed medical imaging applications that are not telemedical, do not support collaboration, and do not communicate with PACS, can be enhanced to support collaboration among a group of physicians, be accessed remotely, and be clinically useful.ii The main advantage of the proposed architecture is that it does not impose any modification to the current medical imaging applications and does not make any assumptions about the underlying architecture or operating system.

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