Reliable automatic alignment of tomographic projection data by passive auto-focus

dc.contributor.authorKingston, Andrew
dc.contributor.authorSakellariou, Arthur
dc.contributor.authorVarslot, Trond
dc.contributor.authorMyers, Glenn
dc.contributor.authorSheppard, Adrian
dc.date.accessioned2015-12-10T22:55:10Z
dc.date.issued2011
dc.date.updated2016-02-24T11:56:30Z
dc.description.abstractPurpose: The authors present a robust algorithm that removes the blurring and double-edge artifacts in high-resolution computed tomography (CT) images that are caused by misaligned scanner components. This alleviates the time-consuming process of physically aligning hardware, which is of particular benefit if components are moved or swapped frequently. Methods: The proposed method uses the experimental data itself for calibration. A parameterized model of the scanner geometry is constructed and the parameters are varied until the sharpest 3D reconstruction is found. The concept is similar to passive auto-focus algorithms of digital optical instruments. The parameters are used to remap the projection data from the physical detector to a virtual aligned detector. This is followed by a standard reconstruction algorithm, namely the Feldkamp algorithm. Feldkamp J. Opt. Soc. Am. A 1, 612-619 (1984). Results: An example implementation is given for a rabbit liver specimen that was collected with a circular trajectory. The optimal parameters were determined in less computation time than that for a full reconstruction. The example serves to demonstrate that (a) sharpness is an appropriate measure for projection alignment, (b) our parameterization is sufficient to characterize misalignments for cone-beam CT, and (c) the procedure determines parameter values with sufficient precision to remove the associated artifacts. Conclusions: The algorithm is fully tested and implemented for regular use at The Australian National University micro-CT facility for both circular and helical trajectories. It can in principle be applied to more general imaging geometries and modalities. It is as robust as manual alignment but more precise since we have quantified the effect of misalignment.
dc.identifier.issn0094-2405
dc.identifier.urihttp://hdl.handle.net/1885/59987
dc.publisherAmerican Association of Physicists in Medicine
dc.sourceMedical Physics
dc.subjectKeywords: algorithm; animal; article; artifact; automation; computer assisted tomography; image processing; liver; methodology; rabbit; radiography; reproducibility; time; Algorithms; Animals; Artifacts; Automation; Image Processing, Computer-Assisted; Liver; Rabbi alignment; auto-focus; geometric calibration; microtomography; tomography
dc.titleReliable automatic alignment of tomographic projection data by passive auto-focus
dc.typeJournal article
local.bibliographicCitation.issue9
local.bibliographicCitation.lastpage4945
local.bibliographicCitation.startpage4934
local.contributor.affiliationKingston, Andrew, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationSakellariou, Arthur, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationVarslot, Trond, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationMyers, Glenn, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationSheppard, Adrian, College of Physical and Mathematical Sciences, ANU
local.contributor.authoremailu4438507@anu.edu.au
local.contributor.authoruidKingston, Andrew, u4438507
local.contributor.authoruidSakellariou, Arthur, u4010587
local.contributor.authoruidVarslot, Trond, u3082880
local.contributor.authoruidMyers, Glenn, u4703841
local.contributor.authoruidSheppard, Adrian, u9204025
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor020402 - Condensed Matter Imaging
local.identifier.absfor029904 - Synchrotrons; Accelerators; Instruments and Techniques
local.identifier.absfor080106 - Image Processing
local.identifier.absseo970102 - Expanding Knowledge in the Physical Sciences
local.identifier.ariespublicationu9210271xPUB516
local.identifier.citationvolume38
local.identifier.doi10.1118/1.3609096
local.identifier.scopusID2-s2.0-80052400554
local.identifier.thomsonID000294482900004
local.identifier.uidSubmittedByu9210271
local.type.statusPublished Version

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