Acute Cerebral Infarction: Effect of JPEG Compression on Detection at CT

Ohgiya, Yoshimitsu; Gokan, Takehiko; Nobusawa, Hiroshi; Hirose, Masahiro; Seino, Noritaka; Fujisawa, Hidefumi; Baba, Maiko; Nagai, Kyoko; Tanno, Keisuke; Takeyama, Nobuyuki; Munechika, Hirotsugu

doi:10.1148/radiol.2271020067

Cited by 20 publications

(10 citation statements)

References 15 publications

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“…The acceptable compression level was reported to be as high as 8:1 to 20:1. These reported thresholds include 8:1 for the diagnosis of acute appendicitis (using a wavelet compression algorithm) [16], 9:1 for the detection of mediastinal adenopathy and pulmonary nodules (tree-structured vector quantization) [14], 10:1 for the detection of focal hepatic lesions (a threedimensional wavelet) [7], 10:1 for nodule detection at lowdose chest CT (JPEG 2000) [17], 10:1 for the detection rate of small lung cancers at low-dose CT (JPEG and a wavelet) [18], 10:1 for the measurement of pulmonary nodule volume at low-dose CT (JPEG 2000) [19], 20:1 for the diagnosis of coronary artery calcification (JPEG and a wavelet) [15], 20:1 for the detection of acute cerebral infarction (JPEG) [20], and 20:1 for the detection of polyps at CT colonography (a wavelet) [21].…”

Section: Discussionmentioning

confidence: 99%

“…The presence of such perceivable artifacts reduces the acceptance of irreversible compression among radiologists [9,25] because a compression level tolerable to depict a gross disease may degrade fine details and texture and, therefore, possibly obscure ancillary findings [25] or induce falsepositive findings [6]. Therefore, the threshold determined by previous studies can address only narrowly defined diagnostic tasks in a given organ system [9,20]. To provide an acceptable threshold that covers a broad range of potential abnormalities with confidence, many receiver operating characteristic studies would be required, which are timeconsuming and expensive [9].…”

Section: Discussionmentioning

confidence: 99%

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Irreversible JPEG 2000 compression of abdominal CT for primary interpretation: assessment of visually lossless threshold

Lee

Kim

et al. 2006

Eur Radiol

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To estimate the visually lossless threshold for Joint Photographic Experts Group (JPEG) 2000 compression of contrast-enhanced abdominal computed tomography (CT) images, 100 images were compressed to four different levels: a reversible (as negative control) and irreversible 5:1, 10:1, and 15:1. By alternately displaying the original and the compressed image on the same monitor, six radiologists independently determined if the compressed image was distinguishable from the original image. For each reader, we compared the proportion of the compressed images being rated distinguishable from the original images between the reversible compression and each of the three irreversible compressions using the exact test for paired proportions. For each reader, the proportion was not significantly different between the reversible (0-1%, 0/100 to 1/100) and irreversible 5:1 compression (0-3%). However, the proportion significantly increased with the irreversible 10:1 (95-99%) and 15:1 compressions (100%) versus reversible compression in all readers (P < 0.001); 100 and 95% of the 5:1 compressed images were rated indistinguishable from the original images by at least five of the six readers and all readers, respectively. Irreversibly 5:1 compressed abdominal CT images are visually lossless and, therefore, potentially acceptable for primary interpretation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Irreversible JPEG 2000 compression of abdominal CT for primary interpretation: assessment of visually lossless threshold

Lee

Kim

et al. 2006

Eur Radiol

View full text Add to dashboard Cite

show abstract

“…The presence of such perceivable artifacts possibly obscure ancillary findings (18) or induce false positive findings (13). Therefore, the threshold determined by the previous studies can address only narrowly defined diagnostic tasks (11,12). To provide an acceptable threshold that covers a broad range of potential abnormalities with confidence, many receiver operating characteristic studies would be required, which are time consuming and expensive (12).…”

Section: Discussionmentioning

confidence: 99%

Visually Lossless Threshold: JPEG 2000 compression of Digital Chest Radiographs

Kim

2010

J Korean Soc Radiol

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“…In most published immunohistochemical studies, these images have been captured with the maximum quality in an uncompressed TIFF format. Compression of DIs has been used in several fields of medicine (Atalag et al 2004;Belair et al 2005;Gurdal et al 2001;Li et al 2001;Ohgiya et al 2003). The most widely used compressed image format is the JPEG (compressed or lossy formats).…”

Section: Introductionmentioning

confidence: 99%

Roundness variation in JPEG images affects the automated process of nuclear immunohistochemical quantification: correction with a linear regression model

López

Martínez

Lejeune

et al. 2009

Histochem Cell Biol

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The volume of digital image (DI) storage continues to be an important problem in computer-assisted pathology. DI compression enables the size of files to be reduced but with the disadvantage of loss of quality. Previous results indicated that the efficiency of computer-assisted quantification of immunohistochemically stained cell nuclei may be significantly reduced when compressed DIs are used. This study attempts to show, with respect to immunohistochemically stained nuclei, which morphometric parameters may be altered by the different levels of JPEG compression, and the implications of these alterations for automated nuclear counts, and further, develops a method for correcting this discrepancy in the nuclear count. For this purpose, 47 DIs from different tissues were captured in uncompressed TIFF format and converted to 1:3, 1:23 and 1:46 compression JPEG images. Sixty-five positive objects were selected from these images, and six morphological parameters were measured and compared for each object in TIFF images and those of the different compression levels using a set of previously developed and tested macros. Roundness proved to be the only morphological parameter that was significantly affected by image compression. Factors to correct the discrepancy in the roundness estimate were derived from linear regression models for each compression level, thereby eliminating the statistically significant differences between measurements in the equivalent images. These correction factors were incorporated in the automated macros, where they reduced the nuclear quantification differences arising from image compression. Our results demonstrate that it is possible to carry out unbiased automated immunohistochemical nuclear quantification in compressed DIs with a methodology that could be easily incorporated in different systems of digital image analysis.

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Acute Cerebral Infarction: Effect of JPEG Compression on Detection at CT

Abstract: JPEG compression at ratios of 10:1 and 20:1 was tolerated in the detection of acute cerebral infarction at CT.

Cited by 20 publications

References 15 publications

Irreversible JPEG 2000 compression of abdominal CT for primary interpretation: assessment of visually lossless threshold

Irreversible JPEG 2000 compression of abdominal CT for primary interpretation: assessment of visually lossless threshold

Visually Lossless Threshold: JPEG 2000 compression of Digital Chest Radiographs

Roundness variation in JPEG images affects the automated process of nuclear immunohistochemical quantification: correction with a linear regression model

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