Literature DB >> 19544811

A flexible multicamera visual-tracking system for detecting and correcting motion-induced artifacts in cardiac SPECT slices.

Joseph E McNamara1, P Hendrik Pretorius, Karen Johnson, Joyeeta Mitra Mukherjee, Joyoni Dey, Michael A Gennert, Michael A King.   

Abstract

Patient motion is inevitable in SPECT and PET due to the lengthy period of time patients are imaged. The authors hypothesized that the use of external-tracking devices which provide additional information on patient motion independent of SPECT data could be employed to provide a more robust correction than obtainable from data-driven methods. Therefore, the authors investigated the Vicon MX visual-tracking system (VTS) which utilizes near-infrared (NIR) cameras to stereo-image small retroreflective markers on stretchy bands wrapped about the chest and abdomen of patients during cardiac SPECT. The chest markers are used to provide an estimate of the rigid-body (RB) motion of the heart. The abdomen markers are used to provide a signal used to bin list-mode acquisitions as part of correction of respiratory motion of the heart. The system is flexible in that the layout of the cameras can be designed to facilitate marker viewing. The system also automatically adapts marker tracking to employ all of the cameras visualizing a marker at any instant, with visualization by any two being sufficient for stereo-tracking. Herein the ability of this VTS to track motion with submillimeter and subdegree accuracy is established through studies comparing the motion of Tc-99m containing markers as assessed via stereo-tracking and from SPECT reconstructions. The temporal synchronization between motion-tracking data and timing marks embedded in list-mode SPECT acquisitions is shown to agree within 100 ms. In addition, motion artifacts were considerably reduced in reconstructed SPECT slices of an anthropomorphic phantom by employing within iterative reconstruction the motion-tracking information from markers attached to the phantom. The authors assessed the number and placement of NIR cameras required for robust motion tracking of markers during clinical imaging in 77 SPECT patients. They determined that they were able to track without loss during the entire period of SPECT and transmission imaging at least three of the four markers on the chest and one on the abdomen bands 94% and 92% of the time, respectively. The ability of the VTS to correct motion clinically is illustrated for ten patients who volunteered to undergo repeat-rest imaging with the original-rest SPECT study serving as the standard against which to compare the success of correction. Comparison of short-axis slices shows that VTS-based motion correction provides better agreement with the original-rest-imaging slices than either no correction or the vendor-supplied software for motion correction on, our SPECT system. Comparison of polar maps shows that VTS-based motion-correction results in less numerical difference on average in the segments of the polar maps between the original-rest study and the second-rest study than the other two strategies. The difference was statistically significant for the comparison between VTS-based and clinical vendor-supplied software correction. Taken together, these findings suggest that VTS-based motion correction is superior to either no-motion correction or the vendor-supplied software the authors investigated in clinical practice.

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Year:  2009        PMID: 19544811      PMCID: PMC2832034          DOI: 10.1118/1.3117592

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  21 in total

1.  Development of respiratory gated myocardial SPECT system.

Authors:  K Cho; S Kumiata; S Okada; T Kumazaki
Journal:  J Nucl Cardiol       Date:  1999 Jan-Feb       Impact factor: 5.952

2.  Estimation of Rigid-Body and Respiratory Motion of the Heart From Marker-Tracking Data for SPECT Motion Correction.

Authors:  Joyeeta Mitra Mukherjee; Joseph E McNamara; Karen L Johnson; Joyoni Dey; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2009-02       Impact factor: 1.679

3.  Use of three-dimensional Gaussian interpolation in the projector/backprojector pair of iterative reconstruction for compensation of known rigid-body motion in SPECT.

Authors:  Bing Feng; Howard C Gifford; Richard D Beach; Guido Boening; Michael A Gennert; Michael A King
Journal:  IEEE Trans Med Imaging       Date:  2006-07       Impact factor: 10.048

Review 4.  Myocardial perfusion and function: single photon emission computed tomography.

Authors:  Christopher L Hansen; Richard A Goldstein; Olakunle O Akinboboye; Daniel S Berman; Elias H Botvinick; Keith B Churchwell; C David Cooke; James R Corbett; S James Cullom; Seth T Dahlberg; Regina S Druz; Edward P Ficaro; James R Galt; Ravi K Garg; Guido Germano; Gary V Heller; Milena J Henzlova; Mark C Hyun; Lynne L Johnson; April Mann; Benjamin D McCallister; Robert A Quaife; Terrence D Ruddy; Senthil N Sundaram; Raymond Taillefer; R Parker Ward; John J Mahmarian
Journal:  J Nucl Cardiol       Date:  2007 Nov-Dec       Impact factor: 5.952

5.  Quantitative same-day rest-stress technetium-99m-sestamibi SPECT: definition and validation of stress normal limits and criteria for abnormality.

Authors:  K F Van Train; J Areeda; E V Garcia; C D Cooke; J Maddahi; H Kiat; G Germano; G Silagan; R Folks; D S Berman
Journal:  J Nucl Med       Date:  1993-09       Impact factor: 10.057

6.  Effect of patient motion on tomographic myocardial perfusion imaging.

Authors:  J A Cooper; P H Neumann; B K McCandless
Journal:  J Nucl Med       Date:  1992-08       Impact factor: 10.057

7.  Correction of heart motion due to respiration in clinical myocardial perfusion SPECT scans using respiratory gating.

Authors:  Gil Kovalski; Ora Israel; Zohar Keidar; Alex Frenkel; Jonathan Sachs; Haim Azhari
Journal:  J Nucl Med       Date:  2007-04       Impact factor: 10.057

8.  A Robust Visual Tracking System for Patient Motion Detection in SPECT: Hardware Solutions.

Authors:  Philippe P Bruyant; Michael A Gennert; Glen C Speckert; Richard D Beach; Joel D Morgenstern; Neeru Kumar; Suman Nadella; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2005-10       Impact factor: 1.679

9.  Practical aspects of a data-driven motion correction approach for brain SPECT.

Authors:  Andre Z Kyme; Brian F Hutton; Rochelle L Hatton; David W Skerrett; Leighton R Barnden
Journal:  IEEE Trans Med Imaging       Date:  2003-06       Impact factor: 10.048

10.  Quantitative analysis of the tomographic thallium-201 myocardial bullseye display: critical role of correcting for patient motion.

Authors:  R Eisner; A Churchwell; T Noever; D Nowak; K Cloninger; D Dunn; W Carlson; J Oates; J Jones; D Morris
Journal:  J Nucl Med       Date:  1988-01       Impact factor: 10.057

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  16 in total

1.  Use of MRI to assess the prediction of heart motion with gross body motion in myocardial perfusion imaging by stereotracking of markers on the body surface.

Authors:  Michael A King; Joyoni Dey; Karen Johnson; Paul Dasari; Joyeeta M Mukherjee; Joseph E McNamara; Arda Konik; Cliff Lindsay; Shaokuan Zheng; Dennis Coughlin
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

2.  A method to synchronize signals from multiple patient monitoring devices through a single input channel for inclusion in list-mode acquisitions.

Authors:  J Michael O'Connor; P Hendrik Pretorius; Karen Johnson; Michael A King
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

3.  Evaluation of Rigid-Body Motion Compensation in Cardiac Perfusion SPECT Employing Polar-Map Quantification.

Authors:  P Hendrik Pretorius; Karen L Johnson; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2016-06-24       Impact factor: 1.679

4.  Adaptation of the modified Bouc-Wen model to compensate for hysteresis in respiratory motion for the list-mode binning of cardiac SPECT and PET acquisitions: testing using MRI.

Authors:  Paul K R Dasari; Mohammed Salman Shazeeb; Arda Könik; Clifford Lindsay; Joyeeta M Mukherjee; Karen L Johnson; Michael A King
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

5.  Improved frame-based estimation of head motion in PET brain imaging.

Authors:  J M Mukherjee; C Lindsay; A Mukherjee; P Olivier; L Shao; M A King; R Licho
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

6.  Digital anthropomorphic phantoms of non-rigid human respiratory and voluntary body motion for investigating motion correction in emission imaging.

Authors:  Arda Könik; Caitlin M Connolly; Karen L Johnson; Paul Dasari; Paul W Segars; P H Pretorius; Clifford Lindsay; Joyoni Dey; Michael A King
Journal:  Phys Med Biol       Date:  2014-06-13       Impact factor: 3.609

7.  Body Deformation Correction for SPECT Imaging.

Authors:  Songxiang Gu; Joseph E McNamara; Joyeeta Mitra; Howard C Gifford; Karen Johnson; Michael A Gennert; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2007       Impact factor: 1.679

8.  MRI Investigation of the Linkage Between Respiratory Motion of the Heart and Markers on Patient's Abdomen and Chest: Implications for Respiratory Amplitude Binning List-Mode PET and SPECT Studies.

Authors:  Paul Dasari; Karen Johnson; Joyoni Dey; Clifford Lindsay; Mohammed S Shazeeb; Joyeeta Mitra Mukherjee; Shaokuan Zheng; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2014-02-06       Impact factor: 1.679

9.  Investigation of the physical effects of respiratory motion compensation in a large population of patients undergoing Tc-99m cardiac perfusion SPECT/CT stress imaging.

Authors:  P Hendrik Pretorius; Karen L Johnson; Seth T Dahlberg; Michael A King
Journal:  J Nucl Cardiol       Date:  2017-04-21       Impact factor: 5.952

10.  An evaluation of data-driven motion estimation in comparison to the usage of external-surrogates in cardiac SPECT imaging.

Authors:  Joyeeta Mitra Mukherjee; Brian F Hutton; Karen L Johnson; P Hendrik Pretorius; Michael A King
Journal:  Phys Med Biol       Date:  2013-10-10       Impact factor: 3.609

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