Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/253106
Title: | Design and performance analysis of diffuse optical tomography for sarcoma detection |
Researcher: | Uma maheswari K |
Guide(s): | Sathiyamoorthy S |
Keywords: | Engineering and Technology,Computer Science,Computer Science Information Systems optical tomography Sarcoma detection |
University: | Anna University |
Completed Date: | 2018 |
Abstract: | Diffuse Optical Tomography is non-invasive, non- ionizing, newlineportable, economical and secured biomedical imaging technique in Nearinfra- newlinered light. This imaging modality promotes the functional imaging of newlinesoft biological tissues namely the brain and breast. The diffuse optical newlinetomography facilitates to reveal the morphological information of fibrous and newlinemuscular tissue lying underneath the blood vessels in brain and breast. The newlineNear-infra-red light ranging (700nm-1000nm) illuminates the brain or breast newlineand the diffuse transmitted light is collected at the tissue surface. newlineIn this thesis, a diffuse optical tomography experimental design newlinewith placement of laser sources and detectors along the tissue boundary are newlinemodeled as forward model. The scattered rays are measured by using newlineavalanche photo-detector signals, since they dominate the tissue medium. newlineThe detector signal is processed to produce the attenuation or the depth of newlinepenetration of the laser source signals in the phantom. The absorption and newlinescattering signals for different tissue volume and area was determined. The newlineoptical flux or fluence rate of the phantom was analyzed in different boundary newlineconditions using boundary element method. Thereby, the soft tissue optical newlineproperty was extracted with diffuse reflectance, which defines the reflectance newlineoutside the tissue boundary. On evaluation of the soft biological tissue optical newlineproperties, based on absorption and scattering coefficient value the normal newlineand cancer patient identification is performed on actual measured data. newline newline |
Pagination: | xxiii, 166p. |
URI: | http://hdl.handle.net/10603/253106 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 23.53 kB | Adobe PDF | View/Open |
02_certificates.pdf | 690.08 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 234.82 kB | Adobe PDF | View/Open | |
04_acknowledgment.pdf | 227.47 kB | Adobe PDF | View/Open | |
05_contents.pdf | 322.09 kB | Adobe PDF | View/Open | |
06_chapter1.pdf | 357.91 kB | Adobe PDF | View/Open | |
07_chapter2.pdf | 374.67 kB | Adobe PDF | View/Open | |
08_chapter3.pdf | 1.03 MB | Adobe PDF | View/Open | |
09_chapter4.pdf | 737.32 kB | Adobe PDF | View/Open | |
10_chapter5.pdf | 1.55 MB | Adobe PDF | View/Open | |
11_conclusion.pdf | 251.04 kB | Adobe PDF | View/Open | |
12_references.pdf | 304.41 kB | Adobe PDF | View/Open | |
13_publications.pdf | 237.32 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: