2009
DOI: 10.1109/titb.2008.903527
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Wavelet-Based Compression With ROI Coding Support for Mobile Access to DICOM Images Over Heterogeneous Radio Networks

Abstract: Most of the commercial medical image viewers do not provide scalability in image compression and/or region of interest (ROI) encoding/decoding. Furthermore, these viewers do not take into consideration the special requirements and needs of a heterogeneous radio setting that is constituted by different access technologies [e.g., general packet radio services (GPRS)/ universal mobile telecommunications system (UMTS), wireless local area network (WLAN), and digital video broadcasting (DVB-H)]. This paper discusse… Show more

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Cited by 54 publications
(22 citation statements)
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“…Interaction can also be enhanced by selectively compressing the more relevant areas with lossless quality and the rest of the image [42] with some loses. Different works have adapted and implemented wavelet-based [43,44] and JPEG2000 approaches [42,45] to ease the access to specific image areas. In the proposed approach the entire WSI was assumed to be relevant and a free lossless navigation was so possible.…”
Section: Discussionmentioning
confidence: 99%
“…Interaction can also be enhanced by selectively compressing the more relevant areas with lossless quality and the rest of the image [42] with some loses. Different works have adapted and implemented wavelet-based [43,44] and JPEG2000 approaches [42,45] to ease the access to specific image areas. In the proposed approach the entire WSI was assumed to be relevant and a free lossless navigation was so possible.…”
Section: Discussionmentioning
confidence: 99%
“…It is an essential system for a hospital to share and explore electronic information inside (Hood & Scott, 2006). The PACS application has changed with advanced technology, and it not only used in hospital but also make medical images explore on mobile devices (Maglogiannis et al, 2009).…”
Section: Related Workmentioning
confidence: 99%
“…The progressive coding allows the user to decode large image files at different resolution levels optimizing this way network resources and allowing image acquisition even in cases network availability is limited. The code for performing wavelet decoding on mobile devices in [15] has been modified to support the JPEG2000 standard on the Android platform. Image annotation is also supported, using the multi-touch functions of the Android OS.…”
Section: Image Viewing Supportmentioning
confidence: 99%
“…[16] Mobile pervasive healthcare technologies can support a wide range of applications and services including mobile telemedicine, patient monitoring, location-based medical services, emergency response and management, personalized monitoring and pervasive access to healthcare information, providing great benefits to both patients and medical personnel. [15] Based on the characteristics of Mobile Cloud Computing and the flexibility of the services that can be developed within this environment, an important benefit consists in the agility that improves with users being able to rapidly and inexpensively re-provision technological infrastructure resources. Hence, this lead to the possibility of users being able to DOI: 10.12948/issn14531305/18.4.2014.05 access medical systems by using a web browser, regardless of their location or on the category of mobile device which is being used (e.g., mobile phones, smartphone, tablets etc).…”
Section: Image Viewing Supportmentioning
confidence: 99%