Respiratory motion correction in gated cardiac SPECT using quaternion‐based, rigid‐body registration

Parker, Jill E.; Mair, B.A.; Gilland, D.R.

doi:10.1118/1.3215531

Cited by 23 publications

(18 citation statements)

References 40 publications

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“…While simple, a translational model was previously demonstrated to be effective for respiratory correction in cardiac SPECT owing to its limited resolution [12]. Of course, it is expected that a more elaborate motion model such as an affine model or a deformable model [16][17] could potentially be more beneficial, but we leave it for future investigation, as the main purpose of this study is to demonstrate the feasibility of our proposed joint reconstruction approach.…”

Section: Reconstruction Schemementioning

confidence: 95%

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4D reconstruction for dual cardiac-respiratory gated SPECT

Yang

Wernick

et al. 2013

2013 IEEE International Conference on Image Processing

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Cardiac gated SPECT is an important clinical tool for assessment of both myocardial perfusion and ventricular function. Spatiotemporal (aka 4D) reconstruction has been demonstrated to be effective for suppressing the increased noise in cardiac gated SPECT. In this work, we propose a joint 4D reconstruction approach to accommodate the different respiratory phases in a dual cardiac-respiratory gating scheme in order to combat the artifacts of respiratory motion in cardiac SPECT. The proposed approach is to exploit the correlation in the signal component among both the cardiac and respiratory phases in the acquired data. In our experiments we evaluated the approach using simulated SPECT imaging with the 4D NCAT phantom and Tc99m labeled Sestamibi as the imaging agent. Our results demonstrate that the proposed approach could effectively suppress the artifacts caused by respiratory motion in the reconstruction.

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Section: Reconstruction Schemementioning

confidence: 95%

“…As with cardiac gating, respiratory gated SPECT also suffers from increased noise levels. To reduce the increased noise, one approach is to first estimate the respiratory motion from the reconstructed individual respiratory gates, and then correct for the respiratory motion in the reconstructed images [12].…”

Section: Introductionmentioning

confidence: 99%

4D reconstruction for dual cardiac-respiratory gated SPECT

Yang

Wernick

et al. 2013

2013 IEEE International Conference on Image Processing

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“…Individual gates may then be reconstructed and evaluated separately [10], or used to produce a single motioncorrected reconstruction [11][12][13][14][15]. Critical to each approach is a surrogate signal describing the respiratory state over time that can be used to drive the gating process.…”

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confidence: 99%

Fully Automated Data-Driven Respiratory Signal Extraction From SPECT Images Using Laplacian Eigenmaps

Sanders

Ritt

Kuwert

et al. 2016

IEEE Trans. Med. Imaging

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We propose a data-driven method for extracting a respiratory surrogate signal from SPECT list-mode data. The approach is based on dimensionality reduction with Laplacian Eigenmaps. By setting a scale parameter adaptively and adding a series of post-processing steps to correct polarity and normalization between projections, we enable fully-automatic operation and deliver a respiratory surrogate signal for the entire SPECT acquisition. We validated the method using 67 patient scans from three acquisition types (myocardial perfusion, liver shunt diagnostic, lung inhalation/perfusion) and an Anzai pressure belt as a gold standard. The proposed method achieved a mean correlation against the Anzai of 0.81 ± 0.17 (median 0.89). In a subsequent analysis, we characterize the performance of the method with respect to count rates and describe a predictor for identifying scans with insufficient statistics. To the best of our knowledge, this is the first large validation of a data-driven respiratory signal extraction method published thus far for SPECT, and our results compare well with those reported in the literature for such techniques applied to other modalities such as MR and PET.

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“…While simple, a translational model was previously demonstrated to be effective for respiratory correction in cardiac SPECT owing to its limited resolution. 21 To determine the motion extent of the respiratory bins, the myocardium was first segmented out based on the image intensity using a region growing method; afterward, its center of gravity was used to determine the motion vector for each bin with respect to the reference bin. In this study, we used the middle bin (bin no.…”

Section: G Motion-compensated Combination Of Respiratory Binsmentioning

confidence: 99%

Limited-angle effect compensation for respiratory binned cardiac SPECT

Yang

Wernick

et al. 2015

Med. Phys.

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Purpose: In cardiac single photon emission computed tomography (SPECT), respiratory-binned study is used to combat the motion blur associated with respiratory motion. However, owing to the variability in respiratory patterns during data acquisition, the acquired data counts can vary significantly both among respiratory bins and among projection angles within individual bins. If not properly accounted for, such variation could lead to artifacts similar to limited-angle effect in image reconstruction. In this work, the authors aim to investigate several reconstruction strategies for compensating the limited-angle effect in respiratory binned data for the purpose of reducing the image artifacts. Methods: The authors first consider a model based correction approach, in which the variation in acquisition time is directly incorporated into the imaging model, such that the data statistics are accurately described among both the projection angles and respiratory bins. Afterward, the authors consider an approximation approach, in which the acquired data are rescaled to accommodate the variation in acquisition time among different projection angles while the imaging model is kept unchanged. In addition, the authors also consider the use of a smoothing prior in reconstruction for suppressing the artifacts associated with limited-angle effect. In our evaluation study, the authors first used Monte Carlo simulated imaging with 4D NCAT phantom wherein the ground truth is known for quantitative comparison. The authors evaluated the accuracy of the reconstructed myocardium using a number of metrics, including regional and overall accuracy of the myocardium, uniformity and spatial resolution of the left ventricle (LV) wall, and detectability of perfusion defect using a channelized Hotelling observer. As a preliminary demonstration, the authors also tested the different approaches on five sets of clinical acquisitions. Results: The quantitative evaluation results show that the three compensation methods could all, but to different extents, reduce the reconstruction artifacts over no compensation. In particular, the model based approach reduced the mean-squared-error of the reconstructed myocardium by as much as 40%. Compared to the approach of data rescaling, the model based approach further improved both the overall and regional accuracy of the myocardium; it also further improved the lesion detectability and the uniformity of the LV wall. When ML reconstruction was used, the model based approach was notably more effective for improving the LV wall; when MAP reconstruction was used, the smoothing prior could reduce the noise level and artifacts with little or no increase in bias, but at the cost of a slight resolution loss of the LV wall. The improvements in image quality by the different compensation methods were also observed in the clinical acquisitions. Conclusions: Compensating for the uneven distribution of acquisition time among both projection angles and respiratory bins can effectively reduce the limited-angle artifacts ...

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Respiratory motion correction in gated cardiac SPECT using quaternion‐based, rigid‐body registration

Cited by 23 publications

References 40 publications

4D reconstruction for dual cardiac-respiratory gated SPECT

4D reconstruction for dual cardiac-respiratory gated SPECT

Fully Automated Data-Driven Respiratory Signal Extraction From SPECT Images Using Laplacian Eigenmaps

Limited-angle effect compensation for respiratory binned cardiac SPECT

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