Cardiac contraction motion compensation in gated myocardial perfusion SPECT: A comparative study

Salehi, Narges; Rahmim, Arman; Fatemizadeh, Emad; Akbarzadeh, Afshin; Farahani, Mohammad Hossein Davood Abadi; Farzanefar, Saeed; Ay, Mohammad Reza

doi:10.1016/j.ejmp.2018.05.004

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…To compensate for the physiological organ motion and synchronize a robot's motion with the organ's motion, various control methods have been proposed for both handheld robotic systems (Yuen et al, 2009;Poulsen et al, 2012;Winter et al, 2015;Kolbitsch et al, 2018;Salehi et al, 2018;Ting et al, 2018) and telerobotic systems (Ginhoux et al, 2005;Gangloff et al, 2006;Cheng et al, 2018). In the paper, we mainly focus on motion compensation control methods for telerobotic systems, which generally falls into four categories: position control, force control, impedance control, and hybrid control.…”

Section: Motion Compensation Control Techniquesmentioning

confidence: 99%

COVID-19 Pandemic Spurs Medical Telerobotic Systems: A Survey of Applications Requiring Physiological Organ Motion Compensation

Cheng

Tavakoli

2020

Front. Robot. AI

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The coronavirus disease 2019 (COVID-19) pandemic has resulted in public health interventions such as physical distancing restrictions to limit the spread and transmission of the novel coronavirus, causing significant effects on the delivery of physical healthcare procedures worldwide. The unprecedented pandemic spurs strong demand for intelligent robotic systems in healthcare. In particular, medical telerobotic systems can play a positive role in the provision of telemedicine to both COVID-19 and non-COVID-19 patients. Different from typical studies on medical teleoperation that consider problems such as time delay and information loss in long-distance communication, this survey addresses the consequences of physiological organ motion when using teleoperation systems to create physical distancing between clinicians and patients in the COVID-19 era. We focus on the control-theoretic approaches that have been developed to address inherent robot control issues associated with organ motion. The state-of-the-art telerobotic systems and their applications in COVID-19 healthcare delivery are reviewed, and possible future directions are outlined.

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Section: Motion Compensation Control Techniquesmentioning

confidence: 99%

COVID-19 Pandemic Spurs Medical Telerobotic Systems: A Survey of Applications Requiring Physiological Organ Motion Compensation

Cheng

Tavakoli

2020

Front. Robot. AI

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“…In recent years, many learning-based methods have been developed and studied for various image registration tasks, including that in medical imaging [9,10]. These methods are found to yield robust performance gain and also computationally faster compared to traditional optimizationbased methods [11,12]. For example, a deep learning image registration framework (DLIR) is described in [13] for training convolutional networks for image registration.…”

Section: Introductionmentioning

confidence: 99%

A Study of Deep Learning Networks for Motion Compensation in Cardiac Gated Spect Images

Zhang

Belloso

Yang

et al. 2022

2022 IEEE International Conference on Image Processing (ICIP)

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Motion compensation is an effective approach for noise suppression and motion blur reduction in cardiac gated SPECT imaging. In this work, we investigate the potential benefit of using a deep learning network for motion compensation in a sequence of gated images throughout the cardiac cycle in the presence of large inter-subject variability and imaging degrading factors. We make use a set of clinical acquisitions from 130 subjects and quantify the motion compensation accuracy by variants of two known cascaded learning networks (namely VTN and VoxelMorph). The results in the experiments show that both networks can yield accurate compensation results in both standard dose and half dose studies. Specifically, VTN achieved a relative MSE of 0.0312 (full dose) and 0.0561 (half dose), compared to 0.0340 (full dose) and 0.0356 (half dose) for VoxelMorph. Both networks also outperformed the classical optical flow equation (OFE) method.

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“…The quality of images obtained from the nuclear medicine imaging systems is affected by different factors such as the physical properties of detector[ 1 2 ] and collimator,[ 3 4 5 ] image reconstruction algorithms,[ 6 7 ] photon attenuation[ 8 9 10 ] and scattering,[ 11 12 13 ] and patient motion. [ 14 15 16 ] The use of a suitable collimator when imaging with a given radioisotope is an essential factor to produce the high quality images. The collimator is usually a thick lead sheet containing a large number of fine holes that provides accurate information about the initial emission location of the photons by restricting the incident photon acceptance angle.…”

Section: Introductionmentioning

confidence: 99%

Investigation of different components of parallel-hole collimator response to different radioisotope energies used in nuclear medicine imaging

Noori-Asl

Jeddi-Dashghapou

2022

J Med Phys

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Introduction: The quality of images obtained from the nuclear medicine imaging systems depends on different factors. One of the most important of these factors is the geometrical and physical characteristics of collimator used for imaging with a given radioisotope. Aims and Objectives: The aim of this study is to investigate the contribution of different components of collimator response for determining the most suitable parallel-hole collimator for the different radioisotope energies used in nuclear medicine imaging. Materials and Methods: In this study, the SIMIND Monte Carlo simulation program is used to determine the contribution of geometrical, penetrating and scattered response components of four hexagonal parallel-hole collimators including low-energy high-resolution (LEHR), low-energy general-purpose (LEGP), medium-energy general-purpose (MEGP), and high-energy general-purpose (HEGP) collimators, for 12 different energies used in nuclear medicine imaging. Results: According to the simulation results, the use of both the LEHR and LEGP collimators leads to a geometrical component above 60% for energies between 69 and 171 keV. On the other hand, for energies between 185 and 245 keV, the MEGP collimator and for energy of 364 keV, the HEGP collimator gives the geometrical components above 70% and 60%, respectively, while for energy of 511 keV, the geometrical response of all four collimators is below 20%. Conclusion: The results of this study show that for two low-energy single-photopeak radioisotopes, Tc-99m and I-123, the LEHR and LEGP collimators, and for high-energy single-photopeak radioisotope, I-131, the HEGP collimator are most suitable collimators. For dual-photopeak In-111 radioisotope and triple-photopeak Ga-67 radioisotope, the MEGP and HEGP collimators and for triple-photopeak Tl-201 radioisotopes, the LEHR and LEGP collimators are proposed as most suitable collimators.

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Cardiac contraction motion compensation in gated myocardial perfusion SPECT: A comparative study

Cited by 5 publications

References 37 publications

COVID-19 Pandemic Spurs Medical Telerobotic Systems: A Survey of Applications Requiring Physiological Organ Motion Compensation

COVID-19 Pandemic Spurs Medical Telerobotic Systems: A Survey of Applications Requiring Physiological Organ Motion Compensation

A Study of Deep Learning Networks for Motion Compensation in Cardiac Gated Spect Images

Investigation of different components of parallel-hole collimator response to different radioisotope energies used in nuclear medicine imaging

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