title: An iterative constrained least squares filter for ultrasound image deconvolution.
abstract: This paper describes how the recently developed constrained least squares (CLS) filtering algorithm can be made iterative to improve the resolution gain (RG) of medical ultrasound images. We propose the use of the iterative CLS (ICLS) filter, by incorporating the recently proposed ultrasound tissue model, to account for the random fluctuations of the tissue signal within the received ultrasound radio frequency (RF) echo signal. The resulting improvement in RG is demonstrated by eight different abdomen ultrasound images where progressive improvements in both the axial and lateral directions can be observed.
authors.affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore.
authors.forename: Wee-Soon
authors.initials: WS
authors.lastname: Yeoh
authors.forename: Cishen
authors.initials: C
authors.lastname: Zhang
authors.forename: Ming
authors.initials: M
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016018:Least-Squares Analysis; D012044:Regression Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography / Q000379:methods*