Medical image transcoder for telemedicine based on wireless communication devices
08 Apr 2011-Vol. 1, pp 389-393
TL;DR: A universal transcoder for reading DICom images and compressing these using lossy as well as lossless schemes such as Dicom rle, jpeg, and jpeg 2000 is described.
Abstract: Digital Imaging and Communications in Medicine (DICOM) is a standard for handling, storing, printing, and transmitting information in medical imaging. DICOM viewer tool is required to view and analyze these DICOM images. There are many commercially available algorithms which process Dicom images; however these algorithms are typically tuned for particular image types. This paper describes a universal transcoder for reading Dicom images and compressing these using lossy as well as lossless schemes such as Dicom rle, jpeg, and jpeg 2000. The compression technique to be used is either automatically selected based on image parameters, or as specified by the user. This paper also describes results from research conducted in the conversion of images from DICOM format into any other image format, reducing the dependence of specialized DICOM viewer tools for viewing medical images. The idea is to convert DICOM formatted files into bitmap format first, and then convert these bitmaps into other common image files. Our transcoder outputs an image that is best suited for viewing on wireless handhelds (mobile phones) as well as built-in viewers on computers, which facilitates further analysis and research to be conducted on these images.
Citations
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Patent•
04 Jan 2013
TL;DR: In this article, the pixel data of the DICOM image is converted by dividing the 16-bit image into two 8-bit color channels stored in an image referenced by a web page using a uniform resource locator.
Abstract: A method facilitates viewing of DICOM medical images by providing a 16-bit DICOM image on a computer readable storage medium, text-converted metadata of the DICOM image and an html-compatible conversion of the DICOM pixel data on a computer readable storage medium. Pixel data of the DICOM image is converted by dividing the 16~bit image into two 8-bit color channels stored in an image referenced by a web page using a uniform resource locator. The two 8-bit color channels are later reassembled within a portable web browser according to instructions set forth in computer readable program code associated with the web page.
13 citations
TL;DR: An algorithm view and converts .dcm image files into bmp, png, jpeg standard image, whereby the image should be viewable, with common image viewing programs and its size should be small.
Abstract: Digital Imaging and Communications in Medicine (DICOM) standard is an image archive system which allows itself to serve as an image manager that control the acquisition, retrieval, and distributions of medical images within entire picture archiving and communication systems (PACS).The DICOM technology is suitable when sending images between different departments within hospitals or/and other hospitals, and consultants. However, some hospitals lack the DICOM system. In this paper proposed algorithm view and converts .dcm image files into bmp, png, jpeg standard image, whereby the image should be viewable, with common image viewing programs and its size should be small.
11 citations
TL;DR: The method and system proposed in this paper obtain different data and same data between current multimedia data and pre-stored data by comparing current multimedia information and encode the attribute information of same data from encoding big data.
Abstract: The method and system proposed in this paper obtain different data and same data between current multimedia data and pre-stored data by comparing current multimedia data and pre-stored data and encode the attribute information of same data from encoding big data. It is not necessary to encode all multimedia data, but to encode different data and attribute information only. Different data account for a small proportion of the entire multimedia data, while same data represent most of the entire multimedia data. Besides, the encoding of same data is concerned with the attribute information of same data, so the quantity of encoding data is very small and hence the compression ratio is very higher.
9 citations
Patent•
16 Nov 2013
TL;DR: In this article, a system and method for processing large image files using HTML 5 employed by Web Browsers for efficiently processing multiple images from the same or different sets of images by one or more client-side users contemporaneously, where the system includes a file server for storing native, processed, or partially processed, image files and meta data associated with the image files, a Web Viewer Cache for dynamic storage of such files, and a plurality of dedicated Web Servers to perform some or all of the image processing functionality.
Abstract: A system and method for processing large image files using HTML 5 employed by Web Browsers for efficiently process multiple images from the same or different sets of images by one or more client-side users contemporaneously, where the system includes a file server for storing native, processed, or partially processed, image files and meta data associated with the image files, a Web Viewer Cache for dynamic storage of such files and meta data such, a plurality of dedicated Web Servers to perform some or all of the image processing functionality, and a load balancer server dedicated to interfacing with one or more Web Browsers from client-side computers to direct, distribute and manage image retrieval and processing by the dedicated Web Servers regardless of whether a pre-fetch image processing request or a real-time image processing request has been made by the client-side computer users.
8 citations
27 Apr 2012
TL;DR: An advanced system for TeleOphthalmology which supports sharing of patient information, medical data and images in a secure manner to experts without constraint of geography is described.
Abstract: Healthcare practices are increasingly using complex medical imaging and data collection methodologies. A growing shortage of medical specialists as well as rising incidence of diseases complicates the issue further. Ophthalmology is one area where medical imaging plays a crucial role in diagnostic decisions. This paper describes an advanced system for TeleOphthalmology which supports sharing of patient information, medical data and images in a secure manner to experts without constraint of geography. Advanced workflow options, imaging processing tools for decision support and access from mobile platforms such as iPhone, iPAD and Playbook is supported.
2 citations
References
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22 Apr 2007
TL;DR: The procedure is to convert DICOM format files into bitmaps and then convert the bitmaps into other general image/ media files that can be viewed directly by the original programs of Windows OS, which will facilitate the further researches on image process.
Abstract: As the standard especially for the storage and transmission of medical images, the standard of Digital Imaging and Communications in Medicine (DICOM) is popular to the people of the world. And as a result, almost all the outputs of the computerized tomography (CT), magnetic resonance (MR), digital subtraction angiography (DSA) and ultrasonography (US) are saved as DICOM format. However, the DICOM format files can be opened by the original programs of windows OS, which is not convenient with the further research in image processing. The paper mainly does some research in the conversion from DICOM format files into general image/ media files. The procedure is to convert DICOM format files into bitmaps and then convert the bitmaps into other general image/ media files. The images then can be viewed directly by the original programs of Windows OS, which will facilitate the further researches on image process. The DICOM format files can be displayed while being converted; the images displayed can also be done with some further operations, such as the process of lightness and contrast gradient of image, image filtering and segmentation.
19 citations
13 Nov 2009
TL;DR: The system is developed to convert images into DICOM-format that are ready to implement in the medical teleradiological system and can process and record the image signal sent to the display unit in the single frame and multiframe image modes.
Abstract: In general, the image formats from radiological modalities are incompatible with the standard DICOM-format. Our system is developed to convert images into DICOM-format that are ready to implement in the medical teleradiological system. The system can process and record the image signal sent to the display unit in the single frame and multiframe image modes. The later mode keeps the set of images in windows bitmap file with .BMP file extension. The resulting images are then compressed with two different techniques - JPEG and JPEG2000. The significant advantage of JPEG2000 over normal JPEG is that the error from JPEG2000 compression is smaller than the error from JPEG. Nevertheless, both methods share a similar mishap; when the compression ratio increases, they both generate more error than the processes on lower compression ratio do. In addition, our system can also convert the image data in normal or automatic DICOM process into the standard DICOM 3.0 format without altering the image data. The final image data can then be used in any radiological modality.
16 citations
"Medical image transcoder for teleme..." refers methods in this paper
...…DICOM_JP EG2000 1.78 MB 40K B 68 KB 4KB 152 KB 12 KB 136 KB 8K B JPEG 1.57 MB 112 KB 20 KB 4KB 140 KB 20 KB 140 KB 24 KB JPEG2000 2.47 MB 36K B 64 KB 4KB 200 KB 8K B 180 KB 4K B *All the conversion is done using default Dicom data set modality so to get better clarity of the image type compression....
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18 Jun 1999
TL;DR: A network algorithm to compress and to reconstruct DICOM-images is presented, which consists of a temporary segmentation and analysis of the image structure and afterwards divided into two parts.
Abstract: In this paper a network algorithm to compress and to reconstruct DICOM-images is presented. The algorithm consists of three parts: the bit-levels of the original image is classified on the basis of a temporary segmentation and analysis of the image structure and afterwards divided into two parts. The first part of the image consists of the highest bit-levels of the original image, the second one contains the rest of the original image. Depending on the segment analyst of the 2nd image the segment orientation is defined and the 2nd image is split in two areas. The first area is the object area, the second is the unusable area. Finally the first part of the image is coded by the LZW-method. The direction of code depends on the orientation of the segments. The region of the object of the 2nd image is JPEG coded. The results of a statistic model of this algorithm is also shown. The algorithm is implemented in the JAVA language.
14 citations
"Medical image transcoder for teleme..." refers background in this paper
...Our transcoder outputs an image that is best suited for viewing on wireless handhelds (mobile phones) as well as built-in viewers on computers, which facilitates further analysis and research to be conducted on these images....
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...Prof., E & C Dept, RNSIT, Bangalore, Karnataka....
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