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Topic: Iterative reconstruction

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Reconstruction algorithm

Filtered back projection

Tomogram

SPECT

Tomographic reconstruction

Medical imaging

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	Iterative reconstruction - Wikipedia, the free encyclopedia
		Iterative reconstruction is a method or group of algorithms used to reconstruct 2D and 3D images from the projections of an object.
		The major advantages of the iterative approach include insensitivity to noise and capability of reconstructing an optimal image in the case of incomplete data.
		Situations where it is not possible to measure all 180 degrees may be more amenable to solution by this approach.
	en.wikipedia.org /wiki/Iterative_reconstruction (332 words)

	Reconstruction filter - Wikipedia, the free encyclopedia
		In a mixed-signal system (analog and digital), a reconstruction filter (or anti-imaging filter) is used to construct a smooth analogue signal from the output of a digital to analogue converter (DAC) or other sampled data output device.
		The low pass reconstruction filter smooths the stair step (removes the harmonics above the Nyquist limit) to (re)construct the analogue signal corresponding to the digital time sequence.
		Reconstruction filters are also used when "reconstructing" a waveform or an image from a collection of wavelet coefficients.
	en.wikipedia.org /wiki/Reconstruction_filter (350 words)

	it performance
		Reconstruction programs are running on dedicated PC systems (double and single processor systems) and checking the subnet server for new reconstruction tasks.
		The iterative reconstruction is superior to the FBP technique in most of the patients.
		The use of both, iteratively reconstructed attenuation maps (on the basis of the transmission data) and the iterative processing of the emission data, provides a superior image quality.
	www.ads-lgs.com /b/pc/perf.html (821 words)

	Comparing FBP and MFA
		Using the variance, the bias and the average MSE criteria, the reconstruction performance of the FBP, the ML, and the MAP methods was evaluated.
		As a result, the final reconstructed image is the optimum solution to the global energy function minimization and it is a compromise of the ML reconstruction and the a-priori image model.
		For the MAP reconstruction, the average MSE is very close to the bias, indicating that the reconstructed images are very similar to each other and the random noise level is low.
	www2.ncsu.edu /ncsu/CIL/med_imaging/reconeval/manuscript.doc.html (3168 words)

	Iterative concurrent reconstruction algorithms for emission computed tomography (Site not responding. Last check: 2007-10-30)
		Direct reconstruction techniques, such as those based on filtered backprojection, are typically used for emission computed tomography (ECT), even though it has been argued that iterative reconstruction methods may produce better clinical images.
		The major disadvantage of iterative reconstruction algorithms, and a significant reason for their lack of clinical acceptance, is their computational burden.
		The authors outline a new class of 'concurrent' iterative reconstruction techniques for ECT in which the reconstruction process is reorganized such that a significant fraction of the computational processing occurs concurrently with the acquisition of ECT projection data.
	stacks.iop.org /0031-9155/39/1113 (369 words)

	SPECT Reconstruction
		Image reconstruction is the process of transforming a set of 2D projections into a 3D image.
		The major problem with simple backprojection reconstruction is that it leaves "extra" counts on the image in the wrong places.
		This method of reconstruction involves solving a set of algebraic equations to reconstruct the image.
	www.uab.edu /radiography/Nmt422/SPECT_Reconstruction.htm (727 words)

	Abstract of ``Stable iterative reconstruction..." (Site not responding. Last check: 2007-10-30)
		Abstract of the paper ``Stable iterative reconstruction algorithm for nonlinear traveltime tomography''
		Reconstruction of acoustic, seismic, or electromagnetic wave speed distribution from first arrival traveltime data is the goal of traveltime tomography.
		The reconstruction problem is nonlinear, because the ray paths that should be used for tomographic backprojection techniques can depend strongly on the unknown wave speeds.
	sepwww.stanford.edu /sep/berryman/HTML/stable_abst.html (299 words)

	Approximate Cone-Beam Reconstruction (Site not responding. Last check: 2007-10-30)
		Despite progress in exact cone-beam reconstruction, approximate cone-beam reconstruction remains important, especially in the cases of incomplete scanning loci and partial detection coverage.
		Furthermore, approximate reconstruction is usually associated with higher computational efficiency, and may produce less image noise and ringing.
		Interestingly, the generalized Feldkamp reconstruction can be similarly formulated in a rotated reconstruction system x'-y'-z'after cone-beam data are corrected onto the new imaginary detector plane through the z' axis.
	dolphin.radiology.uiowa.edu /ge/Teaching/ct/node10.html (776 words)

	Iterative reconstruction for helical CT: a simulation study (Site not responding. Last check: 2007-10-30)
		Iterative reconstruction algorithms for helical CT are presented.
		The algorithms are derived from two-dimensional reconstruction algorithms, by adapting the projector/backprojector to the helical orbit of the source, and by constraining the axial frequencies with a Gaussian sieve.
		Simulations have been carried out and the performance of the iterative algorithms is compared to that of filtered backprojection of synthetic (interpolated) two-dimensional sinograms.
	stacks.iop.org /0031-9155/43/729 (226 words)

	Iterative Projective Reconstruction from Multiple Views (Site not responding. Last check: 2007-10-30)
		We propose an iterative method for the recovery of the projective structure and motion from multiple images.
		It has been recently noted [10, 13] that by scaling the measurement matrix by the true projective depths, recovery of the structure and motion is possible by factorization.
		We then propose an iterative method where we simultaneously recover both the projective depths as well as the structure and motion that avoids some of these drawbacks by utilizing all of the available data uniformly.
	csdl.computer.org /comp/proceedings/cvpr/2000/0662/02/06622430abs.htm (295 words)

	Abstract
		The impact of the reconstruction methods on physiological parameters is illustrated with a clinical protocol measuring cardiac blood flow at rest.
		One limitation in practical implementation of iterative reconstruction is to build a transition matrix accurately modeling the relationship between projection and image spaces.
		Lookup tables of weighting factors to be used in iterative reconstruction algorithms are calculated and compared with those obtained from experimental procedures for various collimators.
	www.umich.edu /~nucmedim/am6b.htm (3674 words)

	A very fast Implementation of 2D Iterative Reconstruction Algorithms - Toft, Jensen (ResearchIndex) (Site not responding. Last check: 2007-10-30)
		Abstract: One of the limitations of using iterative reconstruction methods in tomography is the slow performance compared with the direct reconstruction methods, such as Filtered Backprojection.
		In this paper we demonstrate a very fast implementation of most types of iterative reconstruction methods.
		Reconstruction In this section a hybrid solution is investigated for accelerating the iterative reconstruction algorithms [17] 11]
	citeseer.ist.psu.edu /129410.html (503 words)

	Citebase - Iterative Image Reconstruction for Emission Tomography Using Fuzzy Potential
		These algorithms fail to determine the density class in the reconstructed image and hence penalize the pixels irrespective of the density class.
		Reconstruction with better edge information is often difficult due to the lack of prior knowledge.
		Quantitative analysis shows that the proposed fuzzy rule based reconstruction algorithm is capable of producing better reconstructed images when compared with MAP and MRP reconstructed images.
	citebase.eprints.org /cgi-bin/citations?id=oai:iiscePrints.OAI2:4238 (248 words)

	Stable Iterative Reconstruction Algorithm For Nonlinear Traveltime Tomography - -- (ResearchIndex) (Site not responding. Last check: 2007-10-30)
		Abstract: Reconstruction of acoustic, seismic, or electromagnetic wave speed distribution from first arrival traveltime data is the goal of traveltime tomography.
		Resolution of Iterative Inverses in Seismic Tomography - Berryman
		Berryman, J. G., 1990, Stable iterative reconstruction algorithm for nonlinear traveltime tomography, Inverse Problems 6, 21--42.
	citeseer.ifi.unizh.ch /34.html (434 words)

	SPECT in the Year 2000: Basic Principles -- Groch and Erwin 28 (4): 233 -- Journal of Nuclear Medicine Technology
		in the reconstructed slices is complicated by the backprojection
		The corresponding reconstructions of a central slice from a 64
		A 0.3 Nyquist, 10th order Butterworth transverse reconstruction filter was applied to the transverse slices in A, and a 0.375 Nyquist, 10th order Butterworth volume smoothing filter was applied in B, such that the transverse slices had equivalent smoothness.
	tech.snmjournals.org /cgi/content/full/28/4/233 (5750 words)

	email: Charles_Byrne@uml.edu
		His research interests these days include iterative reconstruction algorithms for medical imaging, particularly emission and transmission tomography, and more general iterative algorithms in optimization theory.
		Byrne, C. (1993) Iterative image reconstruction algorithms based on cross-entropy minimization.
		Byrne, C. (2004) A unified treatment of some iterative algorithms in signal processing and image reconstruction, Inverse Problems, (20), pp.
	faculty.uml.edu /cbyrne/cbyrne.html (753 words)

	Energy Citations Database (ECD) - Energy and Energy-Related Bibliographic Citations
		Concurrent Iterative Reconstruction Algorithms use projection data in the iterative process as the data become available during the SPECT acquisition process and continue iterations in the post-acquisition period as conventional iterative algorithms.
		The authors tested statistical differences in regions throughout the reconstructed image to determine the minimal number of post-acquisition iterations and type of regularization needed to reach an image that is interregionally consistent.
		The algorithms provide images free of reconstruction inhomogeneities and can offer a reduction in post-acquisition reconstruction time when compared to conventional iterative algorithms.
	www.osti.gov /energycitations/product.biblio.jsp?osti_id=267975 (278 words)

	Iterative reconstruction in irregular sampling with derivatives (Site not responding. Last check: 2007-10-30)
		Finite energy band-limited functions are reconstructed iteratively from nonuniform sample values of the functions and its derivatives.
		It is shown that the maximum gap allowed between the sampling points increases linearly with the number of derivatives considered.
		Moreover a more precise result is presented for the first derivative case and another reconstruction of the functions using the frame algorithm is deduced.
	www.mat.univie.ac.at /~nuhag/papers/1995/raz1495.html (83 words)

	Fast iterative and non-iterative reconstruction of band-limited functions from irregular sampling values (Site not responding. Last check: 2007-10-30)
		There are various techniques to recover a band-limited signal x(t) from a sequence of irregularly spaced sampling values.
		In this paper we concentrate on the discrete reconstruction problem.
		Finally we deal with special aspects that arise if many signals with the same frequency spectrum have to be reconstructed by sampling at a fixed sampling geometry.
	www.mat.univie.ac.at /~nuhag/papers/1991/fcs0691.html (152 words)

	Title page for ETD etd-101398-103550
		The MBR distorted images are reconstructed by the iterative method of Projection onto Convex Sets (POCS).
		Due to the high distortion at the block boundaries, some constraints are introduced particularly to reduce artifacts at the boundaries.
		Finally, the composite projections associated with the sign, minimum decreasing and norm-of-slope constraints are used to improve the reconstruction of the MBR distorted images and the effect of ordering of the projections is investigated.
	scholar.lib.vt.edu /theses/available/etd-101398-103550 (278 words)

	Robotics Institute: Iterative projective reconstruction from multiple views (Site not responding. Last check: 2007-10-30)
		These works may not be reposted without the explicit permission of the copyright holder.
		It has been recently noted that by scaling the measurement matrix by the true projective depths, recovery of the structure and motion is possible by factorization.
		Hebert, "Iterative projective reconstruction from multiple views," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '00), Vol.
	www.ri.cmu.edu /pubs/pub_3596.html (369 words)

	3D-DOCTOR Deconvolution, Restoration, Microscopy, 3D Medical Imaging, Volume Visualization, 3D Image Processing, 3D ...
		Image deconvolution is used to remove or reduce degradations that were incurred while the image was being obtained.
		The deconvolution functions can be used by many applications where image restoration or reconstruction is required to improve the clarity and quality of the image.
		The parameter dialog box requires the source image file name, the point spread function (PSF) image file name, an output file name where the restored image is stored, and the number of iterations.
	www.ablesw.com /3d-doctor/recon.html (498 words)

	Is Iterative Reconstruction an Alternative to Filtered Backprojection in Routine Processing of Dopamine Transporter ...
		Is Iterative Reconstruction an Alternative to Filtered Backprojection in Routine Processing of Dopamine Transporter SPECT Studies?
		The aim of this study was to investigate whether the use of
		reconstructed by OSEM than in those reconstructed by FBP.
	jnm.snmjournals.org /cgi/content/abstract/46/11/1804 (344 words)

	Novel Iterative Image Reconstruction Algorithm for Electrical Capacitance Tomography: Directional Algebraic ...
		Novel Iterative Image Reconstruction Algorithm for Electrical Capacitance Tomography: Directional Algebraic Reconstruction Technique -- KIM et al.
		Novel Iterative Image Reconstruction Algorithm for Electrical Capacitance Tomography: Directional Algebraic Reconstruction Technique
		In general, the iterative reconstruction algorithms in ECT have
	ietfec.oxfordjournals.org /cgi/content/short/E89-A/6/1578?rss=1 (317 words)

	Tom's Current Research
		My current research involves 3D iterative reconstruction of circular orbit cone-beam micro-CT data (X-ray computed tomography data, typically for small animal medical imaging).
		The iterative reconstruction algorithms generally take the form of solving very large sparse linear systems (for example, in a weighted least squares sense).
		[2] T.M. Benson and J. Gregor, "Framework for Iterative Cone-Beam Micro-CT Reconstruction", in Proceedings of the 2004 IEEE Nuclear Science Symposium and Medical Imaging Conference, Rome, Italy, October 2004.
	www.cs.utk.edu /~tbenson/research.php (465 words)

	Find in a Library: Implementation of iterative reconstruction of images from multiple bases representations
		Find in a Library: Implementation of iterative reconstruction of images from multiple bases representations
		Implementation of iterative reconstruction of images from multiple bases representations
		WorldCat is provided by OCLC Online Computer Library Center, Inc. on behalf of its member libraries.
	worldcatlibraries.org /wcpa/ow/a48b2f3358c25bfea19afeb4da09e526.html (74 words)

	Keith Price Bibliography Iterative Reconstruction Techniques
		Wang, G.[Ge], Snyder, D.L. O'Sullivan, J.A. Vannier, M.W. Iterative deblurring for CT metal artifact reduction,
		Wallis, J.W. Miller, T.R. An optimal rotator for iterative reconstruction,
		A genetic approach to limited data tomographic reconstruction of time-resolved energy spectrum of short-pulsed neutron sources,
	iris.usc.edu /Vision-Notes/bibliography/medical870.html (227 words)

	NMT 422: Home Page (Site not responding. Last check: 2007-10-30)
		This page contains course materials and handouts for Dr. Newcomer’s NMT 422 Lectures on SPECT Reconstruction and Filtering Processes.
		Pet Instrumentation and Reconstruction Algorithms in Whole-Body Applications.
		Optimal Reconstruction Filter Parameters for Multi-Headed Brain SPECT: Dependence on Count Activity.
	www.uab.edu /radiography/Nmt422 (239 words)

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