Title :
Brain stroke detection using continuous wavelets transform matching filters
Author :
Mustafa, Suleiman ; Abbosh, Amin ; Henin, Bassem ; Ireland, David
Author_Institution :
Coll. of Eng., Salahaddin Univ., Erbil, Iraq
Abstract :
A computer-aided detection algorithm that is useful for diagnosing brain stroke is presented. Continuous Wavelet Transform matching filters is applied to identify the backscattered microwave signals from abnormal objects in the brain. The simulation results show that energy distribution of filters outputs in wavelets domain., in terms of time translation of correlation peak and range of scales in the estimated energy., is a promising candidate signature for diagnosing a hemorrhagic brain stroke. The simulation is done using an emulated head phantom., and two-dimensional finite-difference time-domain (FDTD).
Keywords :
brain; computer aided analysis; diseases; finite difference time-domain analysis; matched filters; medical signal processing; microwave imaging; phantoms; signal denoising; wavelet transforms; 2D finite difference time domain; FDTD; backscattered microwave signals; brain abnormal objects; brain diagnosis simulation results; brain stroke detection; computer aided detection algorithm; continuous wavelets transforms; correlation peak ime translation; emulated head phantom; filter output energy distribution; hemorrhagic brain stroke diagnosis; matching filters; range of scales ime translation; wavelets domain; Antennas; Finite difference methods; Matched filters; Microwave filters; Phantoms; Time domain analysis; Wavelet transforms; Brain stroke detection; FDTD; head phantom; multi-scale matching filters; wavelet transform;
Conference_Titel :
Biomedical Engineering Conference (CIBEC), 2012 Cairo International
Conference_Location :
Giza
Print_ISBN :
978-1-4673-2800-5
DOI :
10.1109/CIBEC.2012.6473328
