American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase III

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

doi:10.1016/s0735-1097(99)00655-5

Cited by 13 publications

(2 citation statements)

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“…Intersubjective errors also hinder image quality assessment using image quality test tools. 5Y8 In a Study of Angiographic Data Compression, Brennecke et al 9 conclude that a compression ratio (CR) of 6:1 provides equivalence with original cine runs, but 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.…”

Section: Transmission and Compression Of Digital Imagesmentioning

confidence: 99%

Synchronized, Interactive Teleconferencing with Digital Cardiac Images

et al. 2006

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St James's Hospital is a tertiary referral center for percutaneous intervention and cardiothoracic surgery for a number of referring hospitals. This article reports on the development and implementation of a synchronized, interactive teleconferencing system for cardiac images that links St. James's Hospital with a remote site (Sligo General Hospital) and overcomes the problems of transmission of large image files. Teleconferencing was achieved by setting up lossless auto transmission of patient files overnight and conferencing the next morning with linked control signals and databases. As a suitable product was not available, a commercially new software was developed. The system links the imaging databases, monitors and synchronizes progress through imaging sequences, and links a range of image processing and control functions. All parties to the conference are ensured that they are looking at the same images as they are played or at specific aspects of an image that the other party is highlighting. The system allows patient management decisions to be made at a weekly joint teleconference with cardiothoracic surgeons and interventional cardiologists from both sites. Rapid decision making was facilitated with 70% of decisions obtained within 24 h, and 88% within 1 week of their procedure. In urgent cases, data can be transmitted within 20 min of the diagnostic procedure. The system allows increased access to angiography for patients living in rural areas, and provides a more focused referral for revascularization. Participation of the referring cardiologist has improved the quality of decision making.

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Section: Transmission and Compression Of Digital Imagesmentioning

confidence: 99%

Synchronized, Interactive Teleconferencing with Digital Cardiac Images

et al. 2006

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“…Discrete cosine transform (DCT), e.g., [3,4], and wavelet transform-based algorithms, e.g., [5,6], have been developed and applied for two-dimensional (2D) and three-dimensional (3D) image data, e.g., [7,8]. Beside these rather methodological or technical papers, clinical investigations aim at determining the loss of image quality regarding a certain imaging modality and clinical indication, e.g., [9,10,11]. More precisely, tolerable compression rates of 6:1, 7:1, and 20:1 were found for coronary angiograms [9], digital subtraction radiography in dental radiology [10], and dynamic [ 18 F] 2-flourodeoxy-glucose brain positron emission tomography data [11], respectively.…”

Section: Introductionmentioning

confidence: 99%

The impact of lossless image compression to radiographs

Abel

Weiß

2006

SPIE Proceedings

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The increasing number of digital imaging modalities results in data volumes of several Tera Bytes per year that must be transferred and archived in a common-sized hospital. Hence, data compression is an important issue for picture archiving and communication systems (PACS). The effect of lossy image compression is frequently analyzed with respect to images from a certain modality supporting a certain diagnosis. However, novel compression schemes have been developed recently allowing efficient but lossless compression.In this study, we compare the lossless compression schemes embedded in the tagged image file format (TIFF), graphics interchange format (GIF), and Joint Photographic Experts Group (JPEG 2000 II) with the Borrows-Wheeler compression algorithm (BWCA) with respect to image content and origin. Repeated measures ANOVA was based on 1.200 images in total.Statistically significant effects (p < 0,0001) of compression scheme, image content, and image origin were found. Best mean compression factor of 3.5 (2.272 bpp) is obtained applying BTW to secondarily digitized radiographs of the head, while the lowest factor of 1,05 (7.587 bpp) resulted from the TIFF packbits algorithm applied to pelvis images captured digitally. Over all, the BWCA is slightly but significantly more effective than JPEG 2000. Both compression schemes reduce the required bits per pixel (bpp) below 3. Also, secondarily digitized images are more compressible than the directly digital ones. Interestingly, JPEG outperforms BWCA for directly digital images regardless of image content, while BWCA performs better than JPEG on secondarily digitized radiographs. In conclusion, efficient lossless image compression schemes are available for PACS.

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