title: Artifact suppressed dictionary learning for low-dose CT image processing.
abstract: Low-dose computed tomography (LDCT) images are often severely degraded by amplified mottle noise and streak artifacts. These artifacts are often hard to suppress without introducing tissue blurring effects. In this paper, we propose to process LDCT images using a novel image-domain algorithm called "artifact suppressed dictionary learning (ASDL)." In this ASDL method, orientation and scale information on artifacts is exploited to train artifact atoms, which are then combined with tissue feature atoms to build three discriminative dictionaries. The streak artifacts are cancelled via a discriminative sparse representation operation based on these dictionaries. Then, a general dictionary learning processing is applied to further reduce the noise and residual artifacts. Qualitative and quantitative evaluations on a large set of abdominal and mediastinum CT images are carried out and the results show that the proposed method can be efficiently applied in most current CT systems.
authors.forename: Yang
authors.initials: Y
authors.lastname: Chen
authors.forename: Luyao
authors.initials: L
authors.lastname: Shi
authors.forename: Qianjing
authors.initials: Q
authors.lastname: Feng
authors.forename: Jian
authors.initials: J
authors.lastname: Yang
authors.forename: Huazhong
authors.initials: H
authors.lastname: Shu
authors.forename: Limin
authors.initials: L
authors.lastname: Luo
authors.forename: Jean-Louis
authors.initials: JL
authors.lastname: Coatrieux
authors.forename: Wufan
authors.initials: W
authors.lastname: Chen
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D019047:Phantoms, Imaging; D011829:Radiation Dosage; D011860:Radiography, Abdominal; D013902:Radiography, Thoracic; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*