Three-dimensional source reconstruction with a scanned pinhole camera

Marks, Daniel L.; Brady, David J.

doi:10.1364/ol.23.000820

Cited by 19 publications

(11 citation statements)

References 8 publications

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“…This quantity is related to the spatial resolution achievable in the plane of the imager (R p ) and it depends also on the dimension of the pinhole d eff in the pinhole camera resolution R t . 24 The spatial resolution R p as a function of the SCD and the overall transverse accuracy ε xy are plotted in Fig. 5(c) (dash line and solid line, respectively).…”

Section: Resultsmentioning

confidence: 99%

BrachyView: Proof‐of‐principle of a novel in‐body gamma camera for low dose‐rate prostate brachytherapy

et al. 2013

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. (2013). BrachyView: Proof-of-principle of a novel in-body gamma camera for low dose-rate prostate brachytherapy. Medical Physics, 40 (4), 041709-1-041709-9.Brachyview: proof-of-principle of a novel in-body gamma camera for low dose-rate prostate brachytherapy AbstractPurpose: The conformity of the achieved dose distribution to the treatment plan strongly correlates with the accuracy of seed implantation in a prostate brachytherapy treatment procedure. Incorrect seed placement leads to both short and long term complications, including urethral and rectal toxicity. The authors present BrachyView, a novel concept of a fast intraoperative treatment planning system, to provide real-time seed placement information based on in-body gamma camera data. BrachyView combines the high spatial resolution of a pixellated silicon detector (Medipix2) with the volumetric information acquired by a transrectal ultrasound (TRUS). The two systems will be embedded in the same probe so as to provide anatomically correct seed positions for intraoperative planning and postimplant dosimetry. Dosimetric calculations are based on the TG-43 method using the real position of the seeds. The purpose of this paper is to demonstrate the feasibility of BrachyView using the Medipix2 pixel detector and a pinhole collimator to reconstruct the real-time 3D position of low dose-rate brachytherapy seeds in a phantom. Methods: BrachyView incorporates three Medipix2 detectors coupled to a multipinhole collimator. Three-dimensionally triangulated seed positions from multiple planar images are used to determine the seed placement in a PMMA prostate phantom in real time. MATLAB codes were used to test the reconstruction method and to optimize the device geometry. Results: The results presented in this paper show a 3D position reconstruction accuracy of the seed in the range of 0.5-3 mm for a 10-60 mm seed-to-detector distance interval (Z direction), respectively. The BrachyView system also demonstrates a spatial resolution of 0.25 mm in the XY plane for sources at 10 mm distance from Medipix2 detector plane, comparable to the theoretical value calculated for an equivalent gamma camera arrangement. The authors successfully demonstrated the capability of BrachyView for real-time imaging (using a 3 s data acquisition time) of different brachytherapy seed configurations (with an activity of 0.05 U) throughout a 60 × 60 × 60 mm3 Perspex prostate phantom. Conclusions: The newly developed miniature gamma camera component of BrachyView, with its high spatial resolution and real time capability, allows accurate 3D localization of seeds in a prostate phantom. Combination of the gamma camera with TRUS in a single probe will complete the BrachyView system. © 2013 American Association of Physicists in Medicine. Keywords dose, low, camera, gamma, prostate, body, rate, novel, principle, proof, brachyview, brachytherapy Disciplines Engineering | Science and Technology Studies Publication DetailsPetasecca, M., Loo, K. J., Safavi-Naeini, M., Han, Z., Metcalfe, P. E., Meikle...

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Section: Resultsmentioning

confidence: 99%

BrachyView: Proof‐of‐principle of a novel in‐body gamma camera for low dose‐rate prostate brachytherapy

et al. 2013

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“…8,9 By an appropriate Fourier transform from the spatial frequency coordinates 10 Next we show that, if a is chosen to be a ϭ Ϫ1͑͞2f ͒, h͑u, v͒ is equal to the complex amplitude on the output plane of the equivalent coherent system, shown in Fig. 2͑b͒.…”

Section: Recording and Synthesizing The Computer-generated Hologrammentioning

confidence: 94%

Computer-generated holograms of three-dimensional realistic objects recorded without wave interference

Li¹,

Abookasis²,

Rosen³

2001

Appl. Opt.

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We propose a method of synthesizing computer-generated holograms of real-life three-dimensional ͑3-D͒ objects. An ordinary digital camera illuminated by incoherent white light records several projections of the 3-D object from different points of view. The recorded data are numerically processed to yield a two-dimensional complex function, which is then encoded as a computer-generated hologram. When this hologram is illuminated by a plane wave, a 3-D real image of the object is reconstructed.

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“…Sparse data matrices have been utilized in rigorous mathematical description by Candes, Tao, Romberg and Donoho [10][11][12] in their compressive sensing demonstration that signals which are sparse in a certain basis, and are sampled by multiplex encodings may be accurately inferred with high probability using fewer measurements than suggested by Nyquist sampling theorem where the sampling rate must be greater than twice the spatial bandwidth [13]. This is done to show how information representation may be significantly reduced in quantity of data if proper bases are chosen.…”

Section: Aperture Coding and Sparse Matricesmentioning

confidence: 99%

“…This implies that independent information that represent a correlated set contains maximal information if the "key" that represents the correlated-ness of the data is known, otherwise the independent data are purely random. Mark, Brady et al [13][14] began experimentation on an idea that fascinated the optics industry. He noted that through proper aperture coding the wealth of information that is stored in a single image may be reconstructed through digital processing and the realignment of multiple pinholes at the receiver.…”

Section: Introductionmentioning

confidence: 99%

Non-linear sampling for efficient implementation of the projection-slice synthetic discriminant function filter

Riasati

2014

Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII; And Military Applications in Hyperspectral Imagin

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The Projection-Slice Synthetic Discriminant Function Filter has been generated using a sparse sampling technique that utilizes the inherent sprsity of the Projection-Slice theorem. The l1-norm has been utilized to optimize the information contents extracted from the representative class objects. In this work, the results of the usual PSDF without the benefit of convex optimization is compared with the results of the PSDF filter after utilization of convex optimization to assess the merits of the utilization of efficient information reconstruction within the construct of the PSDF.

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Three-dimensional source reconstruction with a scanned pinhole camera

Cited by 19 publications

References 8 publications

BrachyView: Proof‐of‐principle of a novel in‐body gamma camera for low dose‐rate prostate brachytherapy

BrachyView: Proof‐of‐principle of a novel in‐body gamma camera for low dose‐rate prostate brachytherapy

Computer-generated holograms of three-dimensional realistic objects recorded without wave interference

Non-linear sampling for efficient implementation of the projection-slice synthetic discriminant function filter

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