American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase III. Measurement of image quality differences at varying levels of data compression

Brennecke, R.; Bürgel, Udo; Simon, R.; Rippin, Gerd; Fritsch, H; Becker, Tim; Nissen, Steven E.

doi:10.1053/euhj.1999.2102

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…Digital compression JPEG (Joined Photographic Expert Group) or MPEG (Moving Pictures Expert Group) algorithms may eliminate redundant image information and reduce the amount of data to transfer in dependence of the required quality [8,[15][16][17][18][19][20]. Obviously, the costs of such sophisticated technologies are significantly more expensive when compared with technology used in our experience [21][22][23]. A compromise between the less expensive data compression strategy and the more expensive system bandwidth will probably be the key system for near on-line transmission of coronary angiograms.…”

Section: Discussionmentioning

confidence: 99%

Telemedicine for cardiac surgery candidates

Bonvini

Caoduro

Menafoglio

et al. 2002

European Journal of Cardio-Thoracic Surgery

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Section: Discussionmentioning

confidence: 99%

Telemedicine for cardiac surgery candidates

Bonvini

Caoduro

Menafoglio

et al. 2002

European Journal of Cardio-Thoracic Surgery

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“…The clinical utility of compressed images was also reported in Beall et al (2000) and Smith et al (2000). A large clinical trial designed to compare the perceived image quality in coronary angiograms suggests that low-level compression provides equivalent image data with the original cine runs (Brennecke et al, 2000). By investigating various levels of JPEG compression quality, it was determined that compression quality up to JPEG75 produced measures similar to TIFF uncompressed files, with the advantage that overall file size was reduced.…”

Section: Tengowski Toxicologic Pathologymentioning

confidence: 99%

Image Compression in Morphometry Studies Requiring 21 CFR Part 11 Compliance: Procedure Is Key with TIFFs and Various JPEG Compression Strengths

Tengowski

2004

Toxicol Pathol

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This study aims to compare the integrity and reproducibility of measurements created from uncompressed and compressed digital images in order to implement compliance with 21 CFR Part 11 for image analysis studies executed using 21 CFR Part 58 compliant capture systems. Images of a 400-mesh electron microscope grid and H&E stained rat liver tissue were captured on an upright microscope with digital camera using commercially available analysis software. Digital images were stored as either uncompressed TIFFs or in one of five different levels of JPEG compression. The grid images were analyzed with automatic detection of bright objects while the liver images were segmented using color cube-based morphometry techniques, respectively, using commercially-available image analysis software. When comparing the feature-extracted measurements from the TIFF uncompressed to the JPEG compressed images, the data suggest that JPEG compression does not alter the accuracy or reliability to reproduce individual data point measurements in all but the highest compression levels. There is, however, discordance if the initial measure was obtained with a TIFF format and subsequently saved as one of the JPEG levels, suggesting that the use of compression must precede feature extraction. It is a common practice in software packages to work with TIFF uncompressed images. However, this study suggests that the use of JPEG compression as part of the analysis work flow was an acceptable practice for these images and features. Investigators applying image file compression to other organ images will need to validate the utility of image compression in their work flow. A procedure to digitally acquire and JPEG compress images prior to image analysis has the potential to reduce file archiving demands without compromising reproducibility of data.

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“…ROI 3 and SD 3 are the average and the standard deviation for the pixel content in the ROI 3 ( Fig. 1), selected in the periphery of the HCSR groups.…”

Section: Methodsmentioning

confidence: 99%

“…Image compression has been explored as a means of increasing network speed and reducing the cost of archiving large image data sets. To achieve size reduction, there are two methods currently used, lossless and lossy compression [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Influence of Image Metrics When Assessing Image Quality from a Test Object in Cardiac X-ray Systems: Part II

Sanchez

Vañó²,

Ubeda³

et al. 2012

J Digit Imaging

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The images generated in modern IC laboratories are created with high-quality standard (1,024×1,024 pixels and 10-12 bits/pixel) enabling cardiologists to perform interventions in the best conditions. But these images are in most of the cases archived in a basic quality standard (512×512 pixels and 8 bits/pixel). The purpose of this work is to complete the research developed in a previous paper and analyze the influence of the matrix size and the bit depth reduction on the image quality acquired on a polymethylmethacrylate (PMMA) phantom with a test object. The variation in contrast-to-noise ratio (CNR) and high contrast spatial resolution (HCSR) were investigated when the matrix size and the bit depth were independently modified for different phantom thicknesses. These two image quality parameters did not suffer noticeable alterations under bits depth reduction from 10 to 8 bits. Such a result seems to imply that bits depth reduction could be used to reduce file sizes with a suitable algorithm and without losing perceptible image quality information. But when the matrix size was reduced from 1,024× 1,024 to 512×512 pixels, a reduction from 17% to 25% in HCSR was noticed when changing phantom thickness, and an increase of 27% in CNR was observed. These findings should be taken into account and it would be wise to conduct further investigations in the field of clinical images.

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American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase III. Measurement of image quality differences at varying levels of data compression

Abstract: Compression at CR 6:1 provides equivalence with the original cine runs. If CR 16:1 were used, one would have to tolerate a significant increase in the diagnostic error rate over the baseline error rate. At CR 10:1, intermediate results were obtained.

Cited by 9 publications

References 12 publications

Telemedicine for cardiac surgery candidates

Telemedicine for cardiac surgery candidates

Image Compression in Morphometry Studies Requiring 21 CFR Part 11 Compliance: Procedure Is Key with TIFFs and Various JPEG Compression Strengths

Influence of Image Metrics When Assessing Image Quality from a Test Object in Cardiac X-ray Systems: Part II

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