Literature DB >> 9867136

Comparison of four motion correction techniques in SPECT imaging of the heart: a cardiac phantom study.

M K O'Connor1, K M Kanal, M W Gebhard, P J Rossman.   

Abstract

UNLABELLED: The aim of this study was to evaluate the accuracy of four different motion correction techniques in SPECT imaging of the heart.
METHODS: We evaluated three automated techniques: the cross-correlation (CC) method, diverging squares (DS) method and two-dimensional fit method and one manual shift technique (MS) using a cardiac phantom. The phantom was filled with organ concentrations of 99mTc closely matching those seen in patient studies. The phantom was placed on a small sliding platform connected to a computer-controlled stepping motor. Linear, random, sinusoidal and bounce motions of magnitude up to 2 cm in the axial direction were simulated. Both single- and dual-detector 90 degrees acquisitions were acquired using a dual 90 degrees detector system. Data were acquired over 180 degrees with 30 or 15 frames/detector (single-/dual-head) at 30 sec/frame in a 64x64 matrix.
RESULTS: The simulated single-detector system, CC method, failed to accurately correct for any of the simulated motions. The DS technique overestimated the magnitude of phantom motion, particularly for images acquired between 45 degrees left anterior oblique and 45 degrees left posterior oblique. The two-dimensional and MS techniques accurately corrected for motion. The simulated dual 90 degrees detector system, CC method, only partially tracked random or bounce cardiac motion and failed to detect sinusoidal motion. The DS technique overestimated motion in the latter half of the study. Both the two-dimensional and MS techniques provided superior tracking, although no technique was able to accurately track the rapid changes in cardiac location simulated in the random motion study. Average absolute differences between true and calculated position of the heart on single- and dual 90 degrees -detectors were 1.7 mm and 1.5 mm for the two-dimensional and MS techniques, respectively. The corresponding values for the DS and CC techniques were 5.7 and 8.9 mm, respectively.
CONCLUSION: Of the four techniques evaluated, manual correction by an experienced technologist proved to be the most accurate, although results were not significantly different from those observed with the two-dimensional method. Both techniques accurately determined cardiac location and permitted artifact-free reconstruction of the simulated cardiac studies.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9867136

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  16 in total

Review 1.  Effect of motion on cardiac SPECT imaging: recognition and motion correction.

Authors:  J Fitzgerald; P G Danias
Journal:  J Nucl Cardiol       Date:  2001 Nov-Dec       Impact factor: 5.952

2.  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 3.  Optimal SPECT processing and display: making bad studies look good to get the right answer.

Authors:  Dalia Y Ibrahim; Frank P DiFilippo; Jeremy E Steed; Manuel D Cerqueira
Journal:  J Nucl Cardiol       Date:  2006-11       Impact factor: 5.952

4.  Estimation of the Rigid-Body Motion from Three-Dimensional Images Using a Generalized Center-of-Mass Points Approach.

Authors:  B Feng; P P Bruyant; P H Pretorius; R D Beach; H C Gifford; J Dey; M Gennert; M A King
Journal:  IEEE Trans Nucl Sci       Date:  2006-10       Impact factor: 1.679

5.  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

6.  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

7.  Automated patient motion detection and correction in dynamic renal scintigraphy.

Authors:  Russell D Folks; Daya Manatunga; Ernest V Garcia; Andrew T Taylor
Journal:  J Nucl Med Technol       Date:  2011-05-12

8.  Motion detection and amelioration in a dedicated cardiac solid-state CZT SPECT device.

Authors:  John A Kennedy; H William Strauss
Journal:  Med Biol Eng Comput       Date:  2016-07-14       Impact factor: 2.602

9.  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

10.  An Assessment of a Low-Cost Visual Tracking System (VTS) to Detect and Compensate for Patient Motion during SPECT.

Authors:  Joseph E McNamara; Philippe Bruyant; Karen Johnson; Bing Feng; Andre Lehovich; Songxiang Gu; Michael A Gennert; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2008-06       Impact factor: 1.679

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.