The use of the compound probability density function in ultrasonic tissue characterization
Creators
- 1. Department of Electrical and Computer Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104 (United States)
Description
Recently, a compound probability density function (pdf) was proposed to model the envelope of the ultrasonic backscattered echo from tissues. This pdf will allow local and global variations in scattering cross sections and even multiple scattering in tissue. It approximates to the Nakagami, K or Rayleigh distributions under different limiting conditions, thus making it very versatile. In this work, a new parameter associated with compound pdf, speckle factor, has been introduced to characterize the scattering conditions. The usefulness of this parameter for tissue characterization has been explored through computer simulation of ultrasonic A scans and analyses of the data collected from tissue-mimicking phantoms. Results suggest the potential applications of the compound pdf and its parameters in ultrasonic tissue characterization
Availability note (English)
Available online at http://stacks.iop.org/0031-9155/49/1007/pmb4_6_011.pdf or at the Web site for the journal Physics in Medicine and Biology (ISSN 1361-6560) http://www.iop.org/Additional details
Identifiers
- URL
- http://stacks.iop.org/0031-9155/49/1007/pmb4_6_011.pdf; http://www.iop.org/;
- DOI
- 10.1088/0031-9155/49/6/011;
- PII
- S0031-9155(04)70295-X;
Publishing Information
- Journal Title
- Physics in Medicine and Biology
- Journal Volume
- 49
- Journal Issue
- 6
- Journal Page Range
- p. 1007-1015
- ISSN
- 0031-9155
- CODEN
- PHMBA7
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 35070710
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- COMPUTERIZED SIMULATION; CROSS SECTIONS; DENSITY; MULTIPLE SCATTERING; PHANTOMS
- Descriptors DEC
- MOCKUP; PHYSICAL PROPERTIES; SCATTERING; SIMULATION; STRUCTURAL MODELS