title: On the use of frequency-domain reconstruction algorithms for photoacoustic imaging.
abstract: We investigate the use of a frequency-domain reconstruction algorithm based on the nonuniform fast Fourier transform (NUFFT) for photoacoustic imaging (PAI). Standard algorithms based on the fast Fourier transform (FFT) are computationally efficient, but compromise the image quality by artifacts. In our previous work we have developed an algorithm for PAI based on the NUFFT which is computationally efficient and can reconstruct images with the quality known from temporal backprojection algorithms. In this paper we review imaging qualities, such as resolution, signal-to-noise ratio, and the effects of artifacts in real-world situations. Reconstruction examples show that artifacts are reduced significantly. In particular, image details with a larger distance from the detectors can be resolved more accurately than with standard FFT algorithms.
authors: Austrian Academy of Sciences, Johann Radon Institute for Computational and Applied Mathematics, 4040 Linz, Austria. Rainer.Schulze@uibk.ac.at
authors: Rainer
authors: R
authors: Schulze
authors: Gerhard
authors: G
authors: Zangerl
authors: Markus
authors: M
authors: Holotta
authors: Dirk
authors: D
authors: Meyer
authors: Florian
authors: F
authors: Handle
authors: Robert
authors: R
authors: Nuster
authors: Günther
authors: G
authors: Paltauf
authors: Otmar
authors: O
authors: Scherzer
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D004625:Embryo, Nonmammalian / Q000033:anatomy & histology; D005260:Female; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D051379:Mice; D009369:Neoplasms / Q000473:pathology; D019047:Phantoms, Imaging; D061088:Photoacoustic Techniques / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013537:Sutures; D015027:Zebrafish / Q000033:anatomy & histology