PMID- 22722754
OWN - NLM
STAT- MEDLINE
DCOM- 20130524
LR  - 20211021
IS  - 1618-727X (Electronic)
IS  - 0897-1889 (Print)
IS  - 0897-1889 (Linking)
VI  - 25
IP  - 6
DP  - 2012 Dec
TI  - Extreme compression for extreme conditions: pilot study to identify optimal 
      compression of CT images using MPEG-4 video compression.
PG  - 764-70
LID - 10.1007/s10278-012-9500-8 [doi]
AB  - 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.
FAU - Peterson, P Gabriel
AU  - Peterson PG
AD  - Walter Reed National Military Medical Center, Bethesda, MD 20889-5600, USA.
FAU - Pak, Sung K
AU  - Pak SK
FAU - Nguyen, Binh
AU  - Nguyen B
FAU - Jacobs, Genevieve
AU  - Jacobs G
FAU - Folio, Les
AU  - Folio L
LA  - eng
PT  - Journal Article
PL  - United States
TA  - J Digit Imaging
JT  - Journal of digital imaging
JID - 9100529
SB  - IM
MH  - Adult
MH  - Data Compression/*methods
MH  - Female
MH  - Humans
MH  - Male
MH  - *Military Personnel
MH  - Pilot Projects
MH  - ROC Curve
MH  - Radiographic Image Interpretation, Computer-Assisted
MH  - Retrospective Studies
MH  - Sensitivity and Specificity
MH  - *Tomography, X-Ray Computed
MH  - Wounds and Injuries/*diagnostic imaging
PMC - PMC3491159
EDAT- 2012/06/23 06:00
MHDA- 2013/05/28 06:00
PMCR- 2013/12/01
CRDT- 2012/06/23 06:00
PHST- 2012/06/23 06:00 [entrez]
PHST- 2012/06/23 06:00 [pubmed]
PHST- 2013/05/28 06:00 [medline]
PHST- 2013/12/01 00:00 [pmc-release]
AID - 9500 [pii]
AID - 10.1007/s10278-012-9500-8 [doi]
PST - ppublish
SO  - J Digit Imaging. 2012 Dec;25(6):764-70. doi: 10.1007/s10278-012-9500-8.