Total variation based gradient descent algorithm for sparse-view photoacoustic image reconstruction - Zhang, Yan; Wang, Yuanyuan; Zhang, Chen (Ultrasonics, 2012)
Keywords: Acoustic signal processing; Acoustics; Algorithmics. Computability. Computer arithmetics; Algorithms; Applied sciences; Artificial intelligence; Biological and medical sciences; Compressed sensing; Computer science; control theory; systems; Computer Simulation; energy; Equipment Design; Exact sciences and technology; Fundamental areas of phenomenology (including applications); image analysis; Image Processing, Computer-Assisted - methods; Image reconstruction; Imaging; in vitro studies; Investigative techniques, diagnostic techniques (general aspects); Lasers, Solid-State; Mathematical analysis; Mathematical models; Medical sciences; Miscellaneous. Technology; Pattern recognition. Digital image processing. Computational geometry; Phantoms, Imaging; Photoacoustic imaging; Physics; Polyamide-imides; Reconstruction; Signal-To-Noise Ratio; Television; Theoretical computing; Total variation; Transducers; Ultrasonic investigative techniques; Ultrasonography - methods; Total variation; Photoacoustic imaging; Image reconstruction; Compressed sensing; compressed sensing; Image processing; Updating; Modeling; Gradient descent; Model matching; Imaging; Sparse representation; Robustness; Acoustic image; Signal detection; Numerical algorithm; Gradient; Energy distribution; Digitizing; Experimental study; Real time; In vitro; Search algorithm; Inverse problem; Television; Objective function; Added value; Signal to noise ratio; Photoacoustic effect