CT data storage reduction by means of compressing projection data instead of images: Feasibility study

Radiology

Volumn 219, Issue 3, 2001, Pages 850-855

  Bae, Kyongtae T ^a   Whiting, Bruce R ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Computed tomography (CT), image display and recording; Computed tomography (CT), image processing; Computed tomography (CT), technology; Data compression

Indexed keywords

ABDOMEN; ADULT; ARTICLE; CASE REPORT; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC IMAGING; FEMALE; HUMAN; IMAGE QUALITY; IMAGE RECONSTRUCTION; LIVER TUMOR; PRIORITY JOURNAL; SPIRAL COMPUTER ASSISTED TOMOGRAPHY;

EID: 0035024416     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiology.219.3.r01jn49850     Document Type: Article

References (8)

1. Berland LL, Smith JK. Multidetector-array CT: once again, technology creates new opportunities. Radiology 1998; 209:327-329.
2. Hu H, He HD, Foley WD, Fox SH. Four multidetector-row helical CT: image quality and volume coverage speed. Radiology 2000; 215:55-62.
3. Rahhani M, Jones PW. Digital image compression techniques. In: Tutorial texts TT07. Bellingham, Wash: SPIE Press, 1991.
4. Foos DH, Muka E, Slone RM, et al. JPEG 2000 compression of medical imagery. Proc SPIE Med Imaging 2000; 3980:85-96.
5. Kak AC, Slaney M. Principles of computed tomography. New York, NY: IEEE Press, 1988.
6. Kalendar WA, Polacin A, Suss C. A comparison of conventional and spiral CT: an experimental study on the detection of spherical lesions. J Comput Assist Tomogr 1994; 18:167-176.
7. Weinberger M, Seroussi G, Sapire G. The LOCO-1 lossless image compression algorithm: principles and standardization into JPEG-LS. Palo Alto, Calif: Hewlett-Packard Laboratories, 1999.
8. Young S, Whiting BR, Foos DH. Statistically lossless image compression for CR and DR. Proc SPIE 1999; 3658:406-419.