Influence of noise filtering in coding computed tomography with JPEG2000

Juan Muñoz-Gómez, Joan Bartrina-Rapesta, Michael W. Marcellin, Joan Serra-Sagristá

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Radiation exposure increases the risk of inducing cancer in a patient when Computed Tomography is performed. Radiologists reduce the radiation dose to minimize the risk of cancer, consequently, noise is introduced in the image, considerably penalizing its quality. To enhance the quality of the image, different noise filters are developed. The filtered noise can be discarded due to its insignificance for the medical diagnosis. In this research, a coding scheme for Computed Tomography with JPEG2000 including a noise filtering stage is proposed. The JPEG2000 standard is selected in our coding approach because: it is supported in DICOM, the communication protocol in the medical setting, it includes progressive lossy-to-lossless coding, and it incorporates JPIP, the interactive transmission protocol. Extensive experimental tests using different images suggest that noise filtering does not penalize the visual quality, but allows substantial improvements in coding performance.

Original languageEnglish (US)
Title of host publicationProceedings - DCC 2011
Subtitle of host publication2011 Data Compression Conference
Pages413-422
Number of pages10
DOIs
StatePublished - May 12 2011
Event2011 Data Compression Conference, DCC 2011 - Snowbird, UT, United States
Duration: Mar 29 2011Mar 31 2011

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314

Other

Other2011 Data Compression Conference, DCC 2011
CountryUnited States
CitySnowbird, UT
Period3/29/113/31/11

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Muñoz-Gómez, J., Bartrina-Rapesta, J., Marcellin, M. W., & Serra-Sagristá, J. (2011). Influence of noise filtering in coding computed tomography with JPEG2000. In Proceedings - DCC 2011: 2011 Data Compression Conference (pp. 413-422). [5749499] (Data Compression Conference Proceedings). https://doi.org/10.1109/DCC.2011.48