Weight factors for limited angle photoacoustic tomography

Photoacoustic tomography (PAT) is based on the generation of ultrasound waves by heating an object with short light pulses. A three-dimensional image of the distribution of absorbed energy within the object is reconstructed from signals measured around the object with either point-like or extended, linear sensors. Limited angle artefacts arise when the curve or surface connecting neighbouring detectors is not closed around the object. For this case, there exists a 'detection region' in which all boundaries of an object are visible in the reconstruction. All straight lines passing through each point in this region intersect the detection curve or surface at least once. Although for these points an accurate reconstruction is possible, direct back projection leads to artefacts when some of the straight lines intersect the detection surface twice and others just once. In this work, special weight functions for direct, non-iterative back projection are presented that reduce these kinds of artefacts. A clear improvement in image quality is shown in simulations for three-dimensional (3D) imaging with point detectors and for two-dimensional (2D) imaging using line detectors compared to reconstruction without weight factors. For the 2D case also an experiment is shown. The presented weight factors make commonly used back projection formulae suitable for a more accurate reconstruction of the initial pressure distribution in cases where the detection aperture only covers a limited angle, and the region of interest lies within the detection region.

[1]  Massoud Motamedi,et al.  Optoacoustic technique for noninvasive monitoring of blood oxygenation: a feasibility study. , 2002, Applied optics.

[2]  Markus Haltmeier,et al.  Photoacoustic tomography using a Mach-Zehnder interferometer as an acoustic line detector. , 2007, Applied optics.

[3]  H. Weber,et al.  Temporal backward projection of optoacoustic pressure transients using fourier transform methods. , 2001, Physics in medicine and biology.

[4]  Lihong V. Wang,et al.  Reconstructions in limited-view thermoacoustic tomography. , 2004, Medical physics.

[5]  Robert A. Kruger,et al.  Thermoacoustic Molecular Imaging of Small Animals , 2003 .

[6]  William L. Kiser,et al.  Thermoacoustic CT , 2000, 2000 IEEE MTT-S International Microwave Symposium Digest (Cat. No.00CH37017).

[7]  Sun,et al.  Photoacoustic monopole radiation in one, two, and three dimensions. , 1991, Physical review letters.

[8]  Avinash C. Kak,et al.  Principles of computerized tomographic imaging , 2001, Classics in applied mathematics.

[9]  Jan Laufer,et al.  In vitro measurements of absolute blood oxygen saturation using pulsed near-infrared photoacoustic spectroscopy: accuracy and resolution. , 2005, Physics in medicine and biology.

[10]  K. P. Köstli,et al.  Two-dimensional photoacoustic imaging by use of Fourier-transform image reconstruction and a detector with an anisotropic response. , 2003, Applied optics.

[11]  Robert A Kruger,et al.  Thermoacoustic molecular imaging of small animals. , 2003, Molecular imaging.

[12]  Wiendelt Steenbergen,et al.  The Twente Photoacoustic Mammoscope: system overview and performance , 2005, Physics in medicine and biology.

[13]  Minghua Xu,et al.  Time-domain reconstruction for thermoacoustic tomography in a spherical geometry , 2002, IEEE Transactions on Medical Imaging.

[14]  Geng Ku,et al.  Noninvasive imaging of hemoglobin concentration and oxygenation in the rat brain using high-resolution photoacoustic tomography. , 2006, Journal of biomedical optics.

[15]  I. Pelivanov,et al.  Optoacoustic technique for thickness measurement of submicron metal coatings , 2009 .

[16]  Alexander A. Oraevsky,et al.  Optoacoustic tomography of breast cancer with arc-array transducer , 2000, BiOS.

[17]  Minghua Xu,et al.  Erratum: Universal back-projection algorithm for photoacoustic computed tomography [Phys. Rev. E 71, 016706 (2005)] , 2007 .

[18]  Lihong V. Wang,et al.  Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain , 2003, Nature Biotechnology.

[19]  Markus Haltmeier,et al.  Inversion of Spherical Means and the Wave Equation in Even Dimensions , 2007, SIAM J. Appl. Math..

[20]  William Rundell,et al.  Surveys on solution methods for inverse problems , 2000 .

[21]  Lihong V. Wang,et al.  Universal back-projection algorithm for photoacoustic computed tomography. , 2005 .

[22]  Xiaochuan Pan,et al.  Data redundancy and reduced-scan reconstruction in reflectivity tomography , 2003, IEEE Trans. Image Process..

[23]  Leonid Kunyansky Thermoacoustic tomography with detectors on an open curve: an efficient reconstruction algorithm , 2008 .

[24]  A. Aisen,et al.  Thermoacoustic CT with radio waves: a medical imaging paradigm. , 1999, Radiology.

[25]  M. Haltmeier,et al.  Temporal back-projection algorithms for photoacoustic tomography with integrating line detectors , 2007 .

[26]  Yuan Xu,et al.  Exact frequency-domain reconstruction for thermoacoustic tomography. I. Planar geometry , 2002, IEEE Transactions on Medical Imaging.

[27]  Markus Haltmeier,et al.  Experimental evaluation of reconstruction algorithms for limited view photoacoustic tomography with line detectors , 2007 .

[28]  S. Patch,et al.  Thermoacoustic tomography--consistency conditions and the partial scan problem. , 2004, Physics in medicine and biology.

[29]  P. Burgholzer,et al.  Thermoacoustic tomography with integrating area and line detectors , 2005, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[30]  Alexander A. Oraevsky,et al.  Removing image artifacts in optoacoustic tomography using virtual transducer restoration , 2004, SPIE BiOS.

[31]  D. A. Popov,et al.  Image Restoration in Optical-Acoustic Tomography , 2004, Probl. Inf. Transm..

[32]  Otmar Scherzer,et al.  KACZMARZ METHODS FOR REGULARIZING NONLINEAR ILL-POSED EQUATIONS II: APPLICATIONS , 2007 .

[33]  Alexander A. Oraevsky,et al.  Image reconstruction in 3D optoacoustic tomography system with hemispherical transducer array , 2002, SPIE BiOS.

[34]  Minghua Xu,et al.  Exact frequency-domain reconstruction for thermoacoustic tomography. II. Cylindrical geometry , 2002, IEEE Transactions on Medical Imaging.

[35]  Lihong V. Wang,et al.  Photoacoustic imaging in biomedicine , 2006 .