A quantitative study of motion estimation methods on 4D cardiac gated SPECT reconstruction

Qi, Wenyuan; Yang, Yongyi; Niu, Xiaofeng; King, Michael A.

doi:10.1118/1.4738377

Cited by 17 publications

(20 citation statements)

References 23 publications

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“…Such a prior was previously used for 4D reconstruction of cardiac gated SPECT [7]. In our experiments, the modified BSREM algorithm [15] was applied for the optimization problem in (4) as previously in cardiac gated 4D [7].…”

Section: The Prior Term P(f 1 ) In (4) Is Defined In a Separablementioning

confidence: 99%

“…Next, the cardiac gates of each respiratory phase were registered with respect to the reference respiratory phase and averaged to obtain a preliminary reconstruction. The optical flow method was then applied to these cardiac gates to estimate the cardiac motion field as in [6,7].…”

Section: Reconstruction Schemementioning

confidence: 99%

“…Recently we developed a spatiotemporal (termed 4D) approach, and demonstrated that it could significantly reduce the noise and improve the accuracy of the reconstruction in gated SPECT [6,7].…”

Section: Introductionmentioning

confidence: 99%

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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: The Prior Term P(f 1 ) In (4) Is Defined In a Separablementioning

confidence: 99%

Section: Reconstruction Schemementioning

confidence: 99%

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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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“…18 The latter is used to control the level of smoothing in the reconstructed images. In particular, when β s = 0, MAP reconstruction corresponds to simply ML reconstruction.…”

Section: D Compensation With Smoothing Priormentioning

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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“…The lack of cardiac motion correction could also lead to inaccurate modeling of the tissue-fraction effect in the templates. Since respiratory motion magnitude could be much larger in patients, dual respiratory and cardiac gating 3 and/or motion correction 46,47 are needed to generate motionfree emission data prior to the application of PVC using phase-matched contrast CT data. Furthermore, respiratory and cardiac motion could have a more severe impact on the MPI study than the RBC study due to differences in tracer concentrations in the thinner myocardium compared to the blood pool.…”

Section: C Limitationsmentioning

confidence: 99%

Noise suppressed partial volume correction for cardiac SPECT/CT

Chan

Liu

Grobshtein³

et al. 2016

Medical Physics

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Purpose: Partial volume correction (PVC) methods typically improve quantification at the expense of increased image noise and reduced reproducibility. In this study, the authors developed a novel voxel-based PVC method that incorporates anatomical knowledge to improve quantification while suppressing noise for cardiac SPECT/CT imaging. Methods: In the proposed method, the SPECT images were first reconstructed using anatomicalbased maximum a posteriori (AMAP) with Bowsher's prior to penalize noise while preserving boundaries. A sequential voxel-by-voxel PVC approach (Yang's method) was then applied on the AMAP reconstruction using a template response. This template response was obtained by forward projecting a template derived from a contrast-enhanced CT image, and then reconstructed using AMAP to model the partial volume effects (PVEs) introduced by both the system resolution and the smoothing applied during reconstruction. To evaluate the proposed noise suppressed PVC (NS-PVC), the authors first simulated two types of cardiac SPECT studies: a 99m Tc-tetrofosmin myocardial perfusion scan and a 99m Tc-labeled red blood cell (RBC) scan on a dedicated cardiac multiple pinhole SPECT/CT at both high and low count levels. The authors then applied the proposed method on a canine equilibrium blood pool study following injection with 99m Tc-RBCs at different count levels by rebinning the list-mode data into shorter acquisitions. The proposed method was compared to MLEM reconstruction without PVC, two conventional PVC methods, including Yang's method and multitarget correction (MTC) applied on the MLEM reconstruction, and AMAP reconstruction without PVC. Results: The results showed that the Yang's method improved quantification, however, yielded increased noise and reduced reproducibility in the regions with higher activity. MTC corrected for PVE on high count data with amplified noise, although yielded the worst performance among all the methods tested on low-count data. AMAP effectively suppressed noise and reduced the spill-in effect in the low activity regions. However it was unable to reduce the spill-out effect in high activity regions. NS-PVC yielded superior performance in terms of both quantitative assessment and visual image quality while improving reproducibility. Conclusions:The results suggest that NS-PVC may be a promising PVC algorithm for application in low-dose protocols, and in gated and dynamic cardiac studies with low counts. C 2016 American Association of Physicists in Medicine. [http://dx

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A quantitative study of motion estimation methods on 4D cardiac gated SPECT reconstruction

Cited by 17 publications

References 23 publications

4D reconstruction for dual cardiac-respiratory gated SPECT

4D reconstruction for dual cardiac-respiratory gated SPECT

Limited-angle effect compensation for respiratory binned cardiac SPECT

Noise suppressed partial volume correction for cardiac SPECT/CT

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