A new cardiac phantom for dynamic SPECT

Krakovich, A; Zaretsky, Uri; Moalem, I; Naimushin, Alexey; Rozen, Eli; Scheinowitz, Mickey; Goldkorn, Ronen

doi:10.1007/s12350-020-02028-0

Cited by 8 publications

(5 citation statements)

References 28 publications

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“…Within the cardiovascular system, dynamic heart simulators were developed for the validation and optimization of different cardiac imaging techniques, such as myocardial scintigraphy [103], US [104,105] and dynamic single photon emission computerized tomography [6]. These simulators create a cardiac-like beating motion by cyclically varying the pressure inside the ventricular cavities, and no soft actuators are employed.…”

Section: Cardiovascular Systemmentioning

confidence: 99%

“…For what concerns the cardiovascular system, many research efforts were dedicated towards the development of cardiac simulators for various purposes, such as medical training and cardiovascular devices testing and validation. Dynamic heart simulators were developed for the validation and optimization of different cardiac imaging techniques, such as myocardial scintigraphy (140), US (141,142) and dynamic single photon emission computerized tomography (143). These simulators create a cardiac-like beating motion by cyclically varying the pressure inside the ventricular cavities, and no soft actuators are employed.…”

Section: Cardiovascular Systemmentioning

confidence: 99%

“…This is the case with physical body simulators: where scale, durability and biocompatibility are not a major concern. High-fidelity physical organ simulators [4] are used as platforms to support advanced medical training [5], to validate and benchmark novel medical devices [6] or to study and simulate the effect of specific physio-pathological conditions [7]. Physical simulators represent a valuable alternative solution to approaches that are limited by their invasiveness (in vivo studies) or the complexity of dealing with excised tissues (ex vivo studies).…”

Section: Introductionmentioning

confidence: 99%

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Soft robotics for physical simulators, artificial organs and implantable assistive devices

et al. 2023

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In recent years, soft robotics technologies enabled the development of a new generation of biomedical devices. The combination of elastomeric materials with tunable properties and muscle-like motions paved the way toward more realistic phantoms and innovative soft active implants as artificial organs or assistive mechanisms. This review collects the most relevant studies in the field, giving some insights about their distribution in the past ten years, and their level of development, and opening a discussion about the most commonly employed materials and actuating technologies. The reported results show some promising trends, highlighting that the soft robotics approach can help replicate specific material characteristics, in the case of static or passive organs, but also reproduce peculiar natural motion patterns for the realization of dynamic phantoms or implants. At the same time, some important challenges still need to be addressed. However, by joining forces with other research fields and disciplines, it will be possible to get one step closer to the development of complex, active, self-sensing and deformable structures able to replicate as closely as possible the typical properties and functionalities of our natural body organs.

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Section: Cardiovascular Systemmentioning

confidence: 99%

Section: Cardiovascular Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Soft robotics for physical simulators, artificial organs and implantable assistive devices

et al. 2023

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“…Physical phantoms are used to assess imaging device performance, geometric distortion, signal-to-noise ratio (SNR), etc., and provide important information for the development and validation of imaging and post-processing pipelines; few physical phantoms support the simulation of motion and blood flow [ 2 – 6 ] see Table 1 in Supplementary material. Most published physical phantoms focus on sub-parts of the cardiovascular anatomy, such as the ventricles [ 3 – 5 ]. Few physical phantoms represent cardiac and breathing motion ( https://www.cirsinc.com/products/radiation-therapy/dynamic-cardiac-phantom/ retrieved on 14.07.2023).…”

Section: Introductionmentioning

confidence: 99%

A simulation-based phantom model for generating synthetic mitral valve image data–application to MRI acquisition planning

Manini,

Nemchyna,

Akansel

et al. 2023

Int J CARS

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Purpose Numerical phantom methods are widely used in the development of medical imaging methods. They enable quantitative evaluation and direct comparison with controlled and known ground truth information. Cardiac magnetic resonance has the potential for a comprehensive evaluation of the mitral valve (MV). The goal of this work is the development of a numerical simulation framework that supports the investigation of MRI imaging strategies for the mitral valve. Methods We present a pipeline for synthetic image generation based on the combination of individual anatomical 3D models with a position-based dynamics simulation of the mitral valve closure. The corresponding images are generated using modality-specific intensity models and spatiotemporal sampling concepts. We test the applicability in the context of MRI imaging strategies for the assessment of the mitral valve. Synthetic images are generated with different strategies regarding image orientation (SAX and rLAX) and spatial sampling density. Results The suitability of the imaging strategy is evaluated by comparing MV segmentations against ground truth annotations. The generated synthetic images were compared to ones acquired with similar parameters, and the result is promising. The quantitative analysis of annotation results suggests that the rLAX sampling strategy is preferable for MV assessment, reaching accuracy values that are comparable to or even outperform literature values. Conclusion The proposed approach provides a valuable tool for the evaluation and optimization of cardiac valve image acquisition. Its application to the use case identifies the radial image sampling strategy as the most suitable for MV assessment through MRI.

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“…In recent years, cardiac SPECT systems equipped with stationary solid-state cadmium-zinc-telluride (CZT) detectors with improved sensitivity, spatial and energy resolution have been developed for myocardial flow determination. 6 , 15 , 16 Myocardial blood flow (MBF) and myocardial flow reserve (MFR) provides more accurate assessment of microvascular disease than visual assessment or semi-quantitative perfusion evaluation. However, CFR derived from D-SPECT and CFR derived from fractional flow reserve (FFR) were found to be correlated in multivessel coronary disease.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Dynamic SPECT Coronary Flow Reserve with TIMI Frame Count in the Treatment of Non-Obstructive Epicardial Coronary Patients

He,

Han,

Shi

et al. 2023

CIA

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Background Microvascular dysfunction in patients with non-obstructive epicardial coronary may aggravate patient’s symptoms or lead to various clinical events. Objective To investigate the correlation between dynamic single photon emission computed tomography (D-SPECT) derived coronary flow reserve (CFR) and TIMI frame count (TFC) in patients with non-obstructive epicardial coronary patients. Methods Patients with suspected or known stable CAD who were recommended to undergo invasive coronary angiography were prospectively enrolled in this study. Those who had non-obstructive coronary received TIMI frame count (TFC) and D-SPECT. A cut-off value of >40 was defined as slow flow referred to TFC. Results A total of 47 patients diagnosed with non-obstructive coronary were enrolled. The mean age of patients was 66.09 ± 8.36 years, and 46.8% were male. Dynamic SPECT derived coronary flow reserve (CFR) was significantly correlated with TIMI frame count in 3 epicardial coronary (LAD: r =−0.506, P = 0.0003; LCX: r = −0.532, P = 0.0001; RCA: r = −0.657, P < 0.0001). The sensitivity and specificity of CFR in identifying abnormal TIMI frame count < 40 was 100.0% and 57.6% in LAD, 62.5% and 87.0% in LCX, 83.9% and 75.0% in RCA, respectively. The optimal CFR cut-off values were 2.02, 2.47, and 1.96 among the three vessels. Conclusion In patients with non-obstructive coronary, CFR derived from D-SPECT was strongly correlated with TFC. This study demonstrates that that CFR may be an alternative non-invasive method for identifying slow flow in non-obstructive coronary.

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A new cardiac phantom for dynamic SPECT

Cited by 8 publications

References 28 publications

Soft robotics for physical simulators, artificial organs and implantable assistive devices

Soft robotics for physical simulators, artificial organs and implantable assistive devices

A simulation-based phantom model for generating synthetic mitral valve image data–application to MRI acquisition planning

A Comparison of Dynamic SPECT Coronary Flow Reserve with TIMI Frame Count in the Treatment of Non-Obstructive Epicardial Coronary Patients

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