Reconstruction of ultrasound tomography for cancer detection using total least squares and conjugate gradient method

Keyphrases

• Conjugate Gradient Method 100%
• Ultrasound Tomography 100%
• Cancer Detection 100%
• Truncated Total Least Squares 100%
• Total Least Squares 100%
• Least-squares Gradient 100%
• Scattering Function 66%
• Green's Function 66%
• Conjugate Gradient 66%
• Total Electric Field 66%
• Tikhonov Regularization 66%
• Image Quality 33%
• Region of Interest 33%
• Transmitter 33%
• Numerical Simulation 33%
• Inverse Problem 33%
• Computation Time 33%
• Computational Cost 33%
• Ultrasound 33%
• Real Application 33%
• Low Error 33%
• Least Squares 33%
• Forward Problem 33%
• Ultrasonic Frequency 33%
• Regularization Method 33%
• Image Reconstruction 33%
• Tomographic Imaging 33%
• Imaging Speed 33%
• Residual Error 33%
• Smooth Solution 33%
• Total Least Square Method 33%
• Least-squares Regularization 33%
• Distorted Born Iterative Method 33%
• Inverse Scattering Problem 33%
• Interest Convergence 33%
• Strongly Ill-posed Problem 33%
• Ill-posed Systems 33%
• Reconstruction Quality 33%

Mathematics

• Total Least Squares 100%
• Regularization 100%
• Conjugate Gradient Method 100%
• Least Squares Method 75%
• Green's Functions 50%
• Iterative Method 25%
• Posed Problem 25%
• Residuals 25%
• Iteration Step 25%
• Computational Cost 25%
• Scattering Problem 25%
• Computer Simulation 25%
• Forward Problem 25%