High-Performance Wavelet Compression for Mammography: Localization Response Operating Characteristic Evaluation

Kallergi, Maria; Lucier, Bradley J.; Berman, Claudia G.; Hersh, Marla R.; Kim, Jihai J.; Szabunio, Margaret S.; Clark, Robert A.

doi:10.1148/radiol.2381040896

Cited by 10 publications

(7 citation statements)

References 29 publications

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“…Previously reported literature on image quality evaluation of compressed mammograms has focused on the determination of diagnostically lossless CR thresholds [9][10][11][12][13][14] and less on the visually lossless approach [8,15,16], with both approaches employing observer performance analysis methods. The quantitative image quality approach of compressed mammograms has been considered as an additional option to observer performance analysis [15,18], as well as in the framework of evaluating image compression schemes utilizing mammographic images [19][20][21], phantom images [34], and computer-generated test objects images [10].…”

Section: Discussionmentioning

confidence: 99%

“…In case of mammographic image compression, most studies have focused on the determination of diagnostically lossless CR thresholds [9][10][11][12][13][14], employing mainly observer performance analyses. These studies have aimed at evaluating the quality of digitized and digital compressed mammograms with respect to lesion detection [9][10][11][12][13] or a lesion diagnosis [14] task.…”

Section: Introductionmentioning

confidence: 99%

“…These studies have aimed at evaluating the quality of digitized and digital compressed mammograms with respect to lesion detection [9][10][11][12][13] or a lesion diagnosis [14] task. Specifically, Good et al [9] evaluated observers' ability in detecting breast masses and MCs on lossy Joint Photographic Experts Group (JPEG) compressed mammograms.…”

Section: Introductionmentioning

confidence: 99%

“…Results suggested that lossy compression of digitized mammograms at 80:1 with both methods considered can be performed without decreasing the rate of detection for either type of lesions. Kallergi et al [13] evaluated the effect of an adaptive wavelet compression method on the detection of masses and MCs. The original and compressed images were evaluated in an observer study involving three radiologists.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Visually Lossless Compression Ratio Determination of JPEG2000 in Digitized Mammograms

et al. 2012

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The current study presents a quantitative approach towards visually lossless compression ratio (CR) threshold determination of JPEG2000 in digitized mammograms. This is achieved by identifying quantitative image quality metrics that reflect radiologists' visual perception in distinguishing between original and wavelet-compressed mammographic regions of interest containing microcalcification clusters (MCs) and normal parenchyma, originating from 68 images from the Digital Database for Screening Mammography. Specifically, image quality of waveletcompressed mammograms (CRs, 10:1, 25:1, 40:1, 70:1, 100:1) is evaluated quantitatively by means of eight image quality metrics of different computational principles and qualitatively by three radiologists employing a five-point rating scale. The accuracy of the objective metrics is investigated in terms of (1) their correlation (r) with qualitative assessment and (2) ROC analysis (A z index), employing pooled radiologists' rating scores as ground truth. The quantitative metrics mean square error, mean absolute error, peak signal-to-noise ratio, and structural similarity demonstrated strong correlation with pooled radiologists' ratings (r, 0.825, 0.823, −0.825, and −0.826, respectively) and the highest area under ROC curve (A z , 0.922, 0.920, 0.922, and 0.922, respectively). For each quantitative metric, the highest accuracy values of corresponding ROC curves were used to define metric cut-off values. The metrics cut-off values were subsequently used to suggest a visually lossless CR threshold, estimated to be between 25:1 and 40:1 for the dataset analyzed. Results indicate the potential of the quantitative metrics approach in predicting visually lossless CRs in case of MCs in mammography.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantitative Visually Lossless Compression Ratio Determination of JPEG2000 in Digitized Mammograms

et al. 2012

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“…Further, there is some evidence that compressing images may actually carry added benefit. For example, one study found improvement of tumor localization with compression in mammography [5]. A review of currently available compression methods is described by Chen et al [6].…”

Section: Introductionmentioning

confidence: 99%

Extreme Compression for Extreme Conditions: Pilot Study to Identify Optimal Compression of CT Images Using MPEG-4 Video Compression

et al. 2012

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This study aims to evaluate the utility of compressed computed tomography (CT) studies (to expedite transmission) using Motion Pictures Experts Group, Layer 4 (MPEG-4) movie formatting in combat hospitals when guiding major treatment regimens. This retrospective analysis was approved by Walter Reed Army Medical Center institutional review board with a waiver for the informed consent requirement. Twenty-five CT chest, abdomen, and pelvis exams were converted from Digital Imaging and Communications in Medicine to MPEG-4 movie format at various compression ratios. Three board-certified radiologists reviewed various levels of compression on emergent CT findings on 25 combat casualties and compared with the interpretation of the original series. A Universal Trauma Window was selected at −200 HU level and 1,500 HU width, then compressed at three lossy levels. Sensitivities and specificities for each reviewer were calculated along with 95 % confidence intervals using the method of general estimating equations. The compression ratios compared were 171:1, 86:1, and 41:1 with combined sensitivities of 90 % (95 % confidence interval, 79-95), 94 % (87-97), and 100 % (93-100), respectively. Combined specificities were 100 % (85-100), 100 % (85-100), and 96 % (78-99), respectively. The introduction of CT in combat hospitals with increasing detectors and image data in recent military operations has increased the need for effective teleradiology; mandating compression technology. Image compression is currently used to transmit images from combat hospital to tertiary care centers with subspecialists and our study demonstrates MPEG-4 technology as a reasonable means of achieving such compression.

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Observer Evaluations of Wavelet Methods for the Enhancement and Compression of Digitized Mammograms

Kallergi

Heine

Lucier

2006

Digital Mammography

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High-Performance Wavelet Compression for Mammography: Localization Response Operating Characteristic Evaluation

Abstract: The tested wavelet-based compression method proved to be an accurate approach for digitized mammography and yielded visually lossless high-rate compression and improved tumor localization.

Cited by 10 publications

References 29 publications

Quantitative Visually Lossless Compression Ratio Determination of JPEG2000 in Digitized Mammograms

Quantitative Visually Lossless Compression Ratio Determination of JPEG2000 in Digitized Mammograms

Extreme Compression for Extreme Conditions: Pilot Study to Identify Optimal Compression of CT Images Using MPEG-4 Video Compression

Observer Evaluations of Wavelet Methods for the Enhancement and Compression of Digitized Mammograms

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