DETECTION OF GRANULATION TISSUE FOR HEALING ASSESSMENT OF CHRONIC ULCERS

Wounds that fail to heal within an expected period develop into ulcers that cause severe pain and expose patients to limb amputation. Ulcer appearance changes gradually as ulcer tissues evolve throughout the healing process. Dermatologists assess the progression of ulcer healing based on visual inspection of ulcer tissues, which is inconsistent and subjective. The ability to measure objectively early stages of ulcer healing is important to improve clinical decisions and enhance the effectiveness of the treatment. Ulcer healing is indicated by the growth of granulation tissue that contains pigment haemoglobin that causes the red colour of the tissue. An approach based on utilising haemoglobin content as an image marker to detect regions of granulation tissue on ulcers surface using colour images of chronic ulcers is investigated in this study. The approach is utilised to develop a system that is able to detect regions of granulation tissue on ulcers surface using colour images of chronic ulcers

GENERAL PURPOSE MICROWAVE CIRCUIT ANALYSIS USING MATLAB

The application of Computer Aided Design (CAD) is very crucial to microwave circuit design and analysis. The initial design of any arbitrarily microwave circuit must be simulated and verified prior to its fabrication. This eliminates the timeconsuming and costly changes on the fabricated circuit due to its limited ability to incorporate any modifications. There are many commercially available CAD packages that are used in industries and universities for fabrication and academic purposes. These packages are very sophisticated and reliable. However, a licensed microwave CAD package is very expensive for universities and colleges to obtain and use, especially for academic purposes. In this fmal year project, an attempt to develop a computer code that acts as a basis for an alternative CAD program for microwave network design and analysis is incorporated. The CAD program is to be developed specially to suit the learning requirements and outcomes of Microwave Engineering courses at universities and colleges. This report gives a general review on microwave circuits and their representations. In addition, it demonstrates the method chosen to perform the analysis on an arbitrary connected microwave network; Scattering Connection Matrix method. The report also details the procedure followed to develop the required computer code based on the chosen method. The computer codes are developed using Mathematics Laboratory (Matlab) software package. A detailed discussion and verification of the results obtained is also shown in this report. The results are verified using a sophisticated microwave CAD package called Advanced Design System (ADS) and compared with the results obtained from implementing the developed computer codes. Comparison of both results shows an acceptable accuracy between them and thus proves that the chosen method to analyze microwave networks is very effective and reliable

DETECTION OF GRANULATION TISSUE FOR HEALING ASSESSMENT OF CHRONIC ULCERS

Wounds that fail to heal within an expected period develop into ulcers that cause severe pain and expose patients to limb amputation. Ulcer appearance changes gradually as ulcer tissues evolve throughout the healing process. Dermatologists assess the progression of ulcer healing based on visual inspection of ulcer tissues, which is inconsistent and subjective. The ability to measure objectively early stages of ulcer healing is important to improve clinical decisions and enhance the effectiveness of the treatment. Ulcer healing is indicated by the growth of granulation tissue that contains pigment haemoglobin that causes the red colour of the tissue. An approach based on utilising haemoglobin content as an image marker to detect regions of granulation tissue on ulcers surface using colour images of chronic ulcers is investigated in this study. The approach is utilised to develop a system that is able to detect regions of granulation tissue on ulcers surface using colour images of chronic ulcers