Irreversible compression in digital radiology. A literature review

Seeram, Euclid

doi:10.1016/j.radi.2005.04.002

Cited by 26 publications

(13 citation statements)

References 78 publications

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“…However, the quality numbers of the anatomical structures evaluated in the study were generally better in original Tiff images (Tiff_2) except for mental foramen, mandibular canal, and mandibular anterior and posterior trabeculation, maxillary anterior trabeculation. These findings are in accordance with the literature because it is reported that compression causes removal of noise and the trabecular pattern of bone which contains many small, high-frequency coefficients would be expected to degrade easily than structures having lower frequency such as a subtle fracture [13].…”

Section: Discussionsupporting

confidence: 92%

“…It attempts to minimize information loss by preferentially preserving the most important coefficients where less important coefficients are roughly approximated, often as zero. Finally, these quantized coefficients are compactly represented for efficient storage or transmission of the image [13]. Jpeg and wavelet-based compression schemes have been the widely used lossy compression methods for medical images [14].…”

Section: Discussionmentioning

confidence: 99%

“…High-frequency features are usually more vulnerable to compression. Fine, irregular texture patterns such as the trabecular pattern of bone would contain many small, high-frequency coefficients, so it would be expected for them to degrade easily long before a subtle fracture which has lower frequency [13].…”

Section: Discussionmentioning

confidence: 99%

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The effects of compression on the image quality of digital panoramic radiographs

2011

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Size reduction through compression is an important issue that needs to be investigated for possible effects on image quality. The aim of the present study was to evaluate the subjective image quality of digital panoramic radiographs which were lossless and lossy compressed for the visualization of various anatomical structures. Fifty-five digital panoramic radiographs in Tagged Image File Format (Tiff) were used in the study. Two types of lossy (Joint Photographic Experts Group (Jpeg)) and one type of lossless (Lempel-Ziv-Welch) compression were applied to the original radiographs. These radiographs were evaluated by two observers separately for the visibility of some anatomical structures with visual grading. Mean quality number for each radiograph was obtained. The differences between the mean quality numbers in each compression and original image mode were evaluated with Friedman test. Pair-wise comparisons revealed that there were statistically significant differences between all groups (p = 0.000) for all comparisons except for Jpeg_1 and Jpeg_2 groups. Kappa statistics was used to evaluate inter- and intra-observer agreements. Intra-observer agreements were ranging from 0.229 to 1.000 and inter-observer agreements were ranging from 0.154 to 1.000. The observers had better inter- and intra-observer agreements in highly compressed Jpeg_1 images. The anatomical structures evaluated in this study had better visibility in Tiff images than Jpeg images except for mandibular canal and mental foramen. While Jpeg compressed images offer high inter- and intra-observer agreements, the visibility of anatomical structures are better in Tiff images except for mandibular canal and mental foramen.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

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The effects of compression on the image quality of digital panoramic radiographs

2011

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“…5, 6 Seeram reviewed 90 papers published from 1998 to 2004 about the irreversible image compression quality in digital radiology. 7 Most studies in his paper indicated that it is conceivable to compress a radiological image to around a ratio of 15:1. High compression ratio (e.g., 9 50:1) 8 has an advantage in that it saves space but may not maintain image quality.…”

Section: Introductionmentioning

confidence: 99%

Quality of Compressed Medical Images

Shiao¹,

Chen²,

Chuang

et al. 2007

J Digit Imaging

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Previous studies have shown that Joint Photographic Experts Group (JPEG) 2000 compression is better than JPEG at higher compression ratio levels. However, some findings revealed that this is not valid at lower levels. In this study, the qualities of compressed medical images in these ratio areas ( approximately 20), including computed radiography, computed tomography head and body, mammographic, and magnetic resonance T1 and T2 images, were estimated using both a pixel-based (peak signal to noise ratio) and two 8 x 8 window-based [Q index and Moran peak ratio (MPR)] metrics. To diminish the effects of blocking artifacts from JPEG, jump windows were used in both window-based metrics. Comparing the image quality indices between jump and sliding windows, the results showed that blocking artifacts were produced from JPEG compression, even at low compression ratios. However, even after the blocking artifacts were omitted in JPEG compressed images, JPEG2000 outperformed JPEG at low compression levels. We found in this study that the image contrast and the average gray level play important roles in image compression and quality evaluation. There were drawbacks in all metrics that we used. In the future, the image gray level and contrast effect should be considered in developing new objective metrics.

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“…There have been several attempts to improve the speed of data transmission between DICOM application entities. These attempts are mainly based on the compression idea [7][8][9][10][11][12][13][14][15][16]. However, on a reasonably fast network these techniques are not efficient because the overhead of compression and decompression slows down the total transmission operation instead of speeding it up [17].…”

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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Irreversible compression in digital radiology. A literature review

Cited by 26 publications

References 78 publications

The effects of compression on the image quality of digital panoramic radiographs

The effects of compression on the image quality of digital panoramic radiographs

Quality of Compressed Medical Images

A Parallel Method to Improve Medical Image Transmission

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