Document Type
Book Chapter
Publisher
InTech
Faculty
Faculty of Computing, Health and Science
School
School of Engineering / Centre for Communications Engineering Research
RAS ID
14848
Abstract
Optical coherence tomography (OCT), ultrasound and other reflection based biomedical imaging technologies involve image signal processing that is primarily a filtering, digitizing and summing process so that the tissue cross-section can be visualized. In particular, in OCT, a series of adjacent one dimensional in-vivo axial interferograms (A-scan) are summed to form a two dimensional (B-scan) reflection map or reflectogram. Further graphical combinations can add adjacent B-scan together to form three dimensional C-scans. A physician can make a subjective interpretation and evaluation from the B and/or C-scans that may lead to actions impacting on the patient’s prognosis. More objective information can be obtained by using backwards fitting models (BFM) that fit tissue characteristics, including layer depth and reflectivity, to imaged tissue A-scans, returning values that are not significantly different to the actual values.
DOI
10.5772/50213
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Engineering Commons
Comments
Jansz, P. V., Richardson, S. J., Wild, G. , & Hinckley, S. (2012). Biomedical Image Signal Processing for Reflection-Based Imaging. In Radovan Hudak, Marek Penhaker and Jaroslav Majernik (Eds.). Biomedical Engineering - Technical Applications in Medicine (pp. 361-386). InTech. Original book chapter available here