Multiscale bilateral filtering for improving image quality in digital breast tomosynthesis

• Published in: Medical physics (Lancaster) Vol. 42; no. 1; pp. 182 - 195
• Main Authors: Lu, Yao, Chan, Heang‐Ping, Wei, Jun, Hadjiiski, Lubomir M., Samala, Ravi K.
• Format: Journal Article
• Language: English
• Published: United States American Association of Physicists in Medicine 01.01.2015
• Subjects: Artifacts and distortion; bilateral filtering; Biological material, e.g. blood, urine; Haemocytometers; biological organs; Breast - metabolism; Calcinosis - diagnostic imaging; Contrast; digital beast tomosynthesis; Digital computing or data processing equipment or methods, specially adapted for specific applications; Digital mammography; filtering theory; Humans; Image data processing or generation, in general; image reconstruction; iterative methods; iterative reconstruction; mammography; Mammography - methods; Medical image artifacts; Medical image contrast; Medical image noise; medical image processing; Medical image reconstruction; microcalcification; Monte Carlo methods; multiscale decomposition; Numerical approximation and analysis; Optical microcavities; phantoms; Phantoms, Imaging; Radiation Imaging Physics; Radiographic Image Enhancement - methods; Reconstruction; regularization method; Signal-To-Noise Ratio; Tissues

Purpose: Detection of subtle microcalcifications in digital breast tomosynthesis (DBT) is a challenging task because of the large, noisy DBT volume. It is important to enhance the contrast‐to‐noise ratio (CNR) of microcalcifications in DBT reconstruction. Most regularization methods depend on local...