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

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.

[1]  Hooshang Kangarloo,et al.  Informatics in radiology: A prototype Web-based reporting system for onsite-offsite clinician communication. , 2007, Radiographics : a review publication of the Radiological Society of North America, Inc.

[2]  Tzong-Jer Chen,et al.  Quality Degradation in Lossy Wavelet Image Compression , 2003, Journal of Digital Imaging.

[3]  Henry Rusinek,et al.  Computed Tomography Diagnosis Utilizing Compressed Image Data: An ROC Analysis Using Acute Appendicitis as a Model , 2002, Journal of Digital Imaging.

[4]  Sethuraman Panchanathan,et al.  Texture characterization for joint compression and classification based on human perception in the wavelet domain , 2006, IEEE Transactions on Image Processing.

[5]  Cornelia Schaefer-Prokop,et al.  Lossy three-dimensional JPEG2000 compression of abdominal CT images: assessment of the visually lossless threshold and effect of compression ratio on image quality. , 2007, Radiology.

[6]  Henry Rusinek,et al.  Wavelet compression of low-dose chest CT data: effect on lung nodule detection. , 2003, Radiology.

[7]  Julio Gonzalez,et al.  Acoustic analysis of pathological voices compressed with MPEG system. , 2003, Journal of voice : official journal of the Voice Foundation.

[8]  J Gonzalez,et al.  The effect of MPEG audio compression on multidimensional set of voice parameters , 2001, Logopedics, phoniatrics, vocology.

[9]  John M Boone,et al.  Multidetector CT: opportunities, challenges, and concerns associated with scanners with 64 or more detector rows. , 2006, Radiology.

[10]  A. Manduca,et al.  Detection of subtle abnormalities on chest radiographs after irreversible compression. , 1998, Radiology.

[11]  Maria Kallergi,et al.  High-performance wavelet compression for mammography: localization response operating characteristic evaluation. , 2006, Radiology.

[12]  Aaron Fenster,et al.  MP3 compression of Doppler ultrasound signals. , 2003, Ultrasound in medicine & biology.

[13]  Kenneth R. Persons,et al.  An evaluation of JPEG and JPEG 2000 irreversible compression algorithms applied to neurologic computed tomography and magnetic resonance images , 2000, Journal of Digital Imaging.

[14]  M. Goldberg,et al.  Application of wavelet compression to digitized radiographs. , 1994, AJR. American journal of roentgenology.