title: Weighted expectation maximization reconstruction algorithms for thermoacoustic tomography.
abstract: Thermoacoustic tomography (TAT) is an emerging imaging technique with potential for a wide range of biomedical imaging applications. In this correspondence, we propose an infinite family of weighted expectation maximization (EM) algorithms for reconstruction of images from temporally truncated TAT measurement data. The weighted EM algorithms are equivalent mathematically to the conventional EM algorithm, but are shown to propagate data inconsistencies in different ways. Using simulated and experimental TAT measurement data, we demonstrate that suitable choices of weighted EM algorithms can effectively mitigate image artifacts that are attributable to temporal truncation of the TAT data function.
authors.forename: Jin
authors.initials: J
authors.lastname: Zhang
authors.forename: Mark A
authors.initials: MA
authors.lastname: Anastasio
authors.forename: Xiaochuan
authors.initials: X
authors.lastname: Pan
authors.forename: Lihong V
authors.initials: LV
authors.lastname: Wang
mesh_terms: D000162:Acoustics; D000465:Algorithms; D004574:Electromagnetic Fields; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D016013:Likelihood Functions; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013817:Thermography / Q000379:methods*; D014054:Tomography / Q000379:methods*; D014465:Ultrasonics; D014463:Ultrasonography / Q000379:methods*