A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with <sup>123</sup>I‐mIBG cardiac SPECT/CT

Wu, Jing; Liu, Hui; Zonouz, Taraneh Hashemi; Sandoval, Veronica; Mohy-ud-Din, Hassan; Lampert, Rachel; Sinusas, Albert J.; Liu, Chi; Liu, Yi Hwa

doi:10.1002/mp.12622

Cited by 6 publications

(3 citation statements)

References 41 publications

(45 reference statements)

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“…Compared to the anatomical-based PVC results obtained from manual segmentation of the contrast-enhanced CT images, this automatic segmentation method provided consistent image quality and quantification accuracy. When the automatic contrast-enhanced CT segmentation is not available, a segmentation-free PVC method was proposed for cardiac SPECT (Wu et al 2017b). This method applied a blind deconvolution algorithm for PVC, which estimated the partial volume corrected image and the image PSF simultaneously based on the original reconstructed image.…”

Section: Partial Volume Correction (Pvc) Of Cardiac Spectmentioning

confidence: 99%

Recent advances in cardiac SPECT instrumentation and imaging methods

Liu

2019

Phys. Med. Biol.

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Cardiac SPECT continues to play a critical role in detecting and managing cardiovascular disease, in particularly coronary artery disease (CAD) (Jaarsma et al 2012 J. Am. Coll. Cardiol. 59 1719–28), (Agostini et al 2016 Eur. J. Nucl. Med. Mol. Imaging 43 2423–32). While conventional dual-head SPECT scanners using parallel-hole collimators and scintillation crystals with photomultiplier tubes are still the workhorse of cardiac SPECT, they have the limitations of low photon sensitivity (~130 count s−1 MBq−1), poor image resolution (~15 mm) (Imbert et al 2012 J. Nucl. Med. 53 1897–903), relatively long acquisition time, inefficient use of the detector, high radiation dose, etc. Recently our field observed an exciting growth of new developments of dedicated cardiac scanners and collimators, as well as novel imaging algorithms for quantitative cardiac SPECT. These developments have opened doors to new applications with potential clinical impact, including ultra-low-dose imaging, absolute quantification of myocardial blood flow (MBF) and coronary flow reserve (CFR), multi-radionuclide imaging, and improved image quality as a result of attenuation, scatter, motion, and partial volume corrections (PVCs). In this article, we review the recent advances in cardiac SPECT instrumentation and imaging methods. This review mainly focuses on the most recent developments published since 2012 and points to the future of cardiac SPECT from an imaging physics perspective.

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Section: Partial Volume Correction (Pvc) Of Cardiac Spectmentioning

confidence: 99%

Recent advances in cardiac SPECT instrumentation and imaging methods

Liu

2019

Phys. Med. Biol.

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“…Guérit et al (2015) proposed post-reconstruction deconvolution model with total generalized variation regularization. Wu et al (2017) developed a PVC method based on blind deconvolution with anatomical-guided filtering.…”

Section: Introductionmentioning

confidence: 99%

Deconvolution-based partial volume correction of PET images with parallel level set regularization

et al. 2021

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The partial volume effect (PVE), caused by the limited spatial resolution of positron emission tomography (PET), degrades images both qualitatively and quantitatively. Anatomical information provided by magnetic resonance (MR) images has the potential to play an important role in partial volume correction (PVC) methods. Post-reconstruction MR-guided PVC methods typically use segmented MR tissue maps, and further, assume that PET activity distribution is uniform in each region, imposing considerable constraints through anatomical guidance. In this work, we present a post-reconstruction PVC method based on deconvolution with parallel level set (PLS) regularization. We frame the problem as an iterative deconvolution task with PLS regularization that incorporates anatomical information without requiring MR segmentation or assuming uniformity of PET distributions within regions. An efficient algorithm for non-smooth optimization of the objective function (invoking split Bregman framework) is developed so that the proposed method can be feasibly applied to 3D images and produces sharper images compared to PLS method with smooth optimization. The proposed method was evaluated together with several other PVC methods using both realistic simulation experiments based on the BrainWeb phantom as well as in vivo human data. Our proposed method showed enhanced quantitative performance when realistic MR guidance was provided. Further, the proposed method is able to reduce image noise while preserving structure details on in vivo human data, and shows the potential to better differentiate amyloid positive and amyloid negative scans. Overall, our results demonstrate promise to provide superior performance in clinical imaging scenarios.

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“…Potentially, this bias can be caused by the partial volume effect due to the limited image resolution . Numerous partial volume correction approaches have been proposed previously by others and us to improve the quantification accuracy. Among those approaches, a method directly incorporating the spillover effect from the LV cavity to the myocardium into the compartmental modeling has been demonstrated to be effective for improving the accuracy of MBF quantification.…”

Section: Introductionmentioning

confidence: 99%

A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic ⁸²Rb positron emission tomography

Liu

Sun³

et al. 2019

Medical Physics

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Purpose: In this work, we proposed a triple-factor non-negative matrix factorization (TNMF) method to semiautomatically segment the regions of interest (ROIs) of the left ventricular (LV) cavity and myocardium to improve the reproducibility of myocardial blood flow (MBF) quantification from dynamic 82 Rb positron emission tomography (PET). Methods: The proposed TNMF method was evaluated using NCAT phantom simulation with three noise levels. The segmented ROIs, time-activity curves (TACs), and K 1 derived from the TNMF method were compared with the ground truth simulated. The TNMF method was further evaluated in two patients each undergone both rest and stress 82 Rb PET studies. The TNMF and manual segmentations were implemented by two different observers, and the interoperator variations of MBF and myocardial flow reserve (MFR) were compared between the two methods. Results: Our simulation results showed that the TNMF method for dynamic PET image segmentation was robust as evidenced by the high Dice similarity coefficient, regardless of high or low count level. The relative bias in K 1 estimation was less than 1%. Our patient results also showed that reasonable ROIs for the LV cavity and myocardium could be obtained precisely for patients with and without myocardial perfusion defects. The TACs derived from the TNMF method were highly correlated with those obtained with the manual method (R 2 ≥ 0.964). The interoperator variations of MBF and MFR were markedly reduced using the TNMF method. Conclusions: In conclusion, the TNMF method is highly feasible for semiautomatic segmentation of the LV cavity and myocardium, with the potential to improve the precision of MBF quantification by improving segmentation.

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A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with ¹²³I‐mIBG cardiac SPECT/CT

Abstract: The proposed segmentation-free PVC method has the potential of improving SPECT quantification accuracy and reducing noise without the need for premeasuring the image PSF.

Cited by 6 publications

References 41 publications

Recent advances in cardiac SPECT instrumentation and imaging methods

Recent advances in cardiac SPECT instrumentation and imaging methods

Deconvolution-based partial volume correction of PET images with parallel level set regularization

A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic ⁸²Rb positron emission tomography

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A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT

Abstract: The proposed segmentation-free PVC method has the potential of improving SPECT quantification accuracy and reducing noise without the need for premeasuring the image PSF.

Cited by 6 publications

References 41 publications

Recent advances in cardiac SPECT instrumentation and imaging methods

Recent advances in cardiac SPECT instrumentation and imaging methods

Deconvolution-based partial volume correction of PET images with parallel level set regularization

A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic 82Rb positron emission tomography

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A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with ¹²³I‐mIBG cardiac SPECT/CT

A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic ⁸²Rb positron emission tomography