Abstract:The spirometric volume change linearly estimates motion of myocardium in PET with good accuracy and have potential to guide selection of optimal number of respiratory gates in cardiac PET.
“…More technical details of the scanner can be found in 31 . The technical details including the set-up and validation of the spirometry device for respiratory gating can be found in the article by Kokki et al 30 .…”
Section: Methodsmentioning
confidence: 99%
“…In this study, we developed and assessed such an approach by motion measurement and modelling to estimate the optimal number of dual gates in a phantom and a patient study. For measurement of respiratory motion, we propose to use the spirometric volume, which has been shown to change linearly in terms of the motion of the myocardium in cardiac PET 30 . Furthermore, spirometric measurements have been proposed to have potential to guide selection of optimal number of respiratory gates in cardiac PET 30 .…”
mentioning
confidence: 99%
“…For measurement of respiratory motion, we propose to use the spirometric volume, which has been shown to change linearly in terms of the motion of the myocardium in cardiac PET 30 . Furthermore, spirometric measurements have been proposed to have potential to guide selection of optimal number of respiratory gates in cardiac PET 30 . In this study, motion from respiration, cardiac contraction and their combination was modelled and validated with a moving heart phantom to derive the optimal number of respiratory and pulsatile gates.…”
Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal-to-noise ratio, while too low number of gates does remove only part of the motion. Here, we introduce a respiratory-cardiac motion model to determine the optimal number of respiratory and cardiac gates. We evaluate the model using a realistic heart phantom and data from 12 cardiac patients (47–77 years, 64.5 on average). To demonstrate the benefits of our model, we compared it with an existing respiratory model. Based on our study, the optimal number of gates was determined to be five respiratory and four cardiac gates in the phantom and patient studies. In the phantom study, the diameter of the most active hot spot was reduced by 24% in the dual gated images compared to non-gated images. In the patient study, the thickness of myocardium wall was reduced on average by 21%. In conclusion, the motion model can be used for estimating the optimal number of respiratory and cardiac gates for dual gating.
“…More technical details of the scanner can be found in 31 . The technical details including the set-up and validation of the spirometry device for respiratory gating can be found in the article by Kokki et al 30 .…”
Section: Methodsmentioning
confidence: 99%
“…In this study, we developed and assessed such an approach by motion measurement and modelling to estimate the optimal number of dual gates in a phantom and a patient study. For measurement of respiratory motion, we propose to use the spirometric volume, which has been shown to change linearly in terms of the motion of the myocardium in cardiac PET 30 . Furthermore, spirometric measurements have been proposed to have potential to guide selection of optimal number of respiratory gates in cardiac PET 30 .…”
mentioning
confidence: 99%
“…For measurement of respiratory motion, we propose to use the spirometric volume, which has been shown to change linearly in terms of the motion of the myocardium in cardiac PET 30 . Furthermore, spirometric measurements have been proposed to have potential to guide selection of optimal number of respiratory gates in cardiac PET 30 . In this study, motion from respiration, cardiac contraction and their combination was modelled and validated with a moving heart phantom to derive the optimal number of respiratory and pulsatile gates.…”
Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal-to-noise ratio, while too low number of gates does remove only part of the motion. Here, we introduce a respiratory-cardiac motion model to determine the optimal number of respiratory and cardiac gates. We evaluate the model using a realistic heart phantom and data from 12 cardiac patients (47–77 years, 64.5 on average). To demonstrate the benefits of our model, we compared it with an existing respiratory model. Based on our study, the optimal number of gates was determined to be five respiratory and four cardiac gates in the phantom and patient studies. In the phantom study, the diameter of the most active hot spot was reduced by 24% in the dual gated images compared to non-gated images. In the patient study, the thickness of myocardium wall was reduced on average by 21%. In conclusion, the motion model can be used for estimating the optimal number of respiratory and cardiac gates for dual gating.
“…In this issue of Journal of Nuclear Cardiology, Kokki et al 21 investigate the relation between spirometric lung volume or pressure belt signal, and the motion of coronary vessels by MR imaging in 9 healthy volunteers. Measurements with MR were slightly compromised due to a variation in repeat breath-holds.…”
“…Simultaneous respiratory and cardiac gating, namely dual gating, can reduce motion-related inaccuracies and correspondingly imaging resolution in cardiac PET and oncological applications [5]. Cardiac gating is accomplished by an electrocardiography (ECG) measurement system, while respiratory gating can be performed by external devices such as spirometry, elastic belts (consisting of pressure or load cell sensors) monitors or using optical techniques including a camera and laser sensor that track chest wall or abdomen displacement [3,6,7]. However, respiratory gating devices have been considered for only research purposes due to the need for complex logistics and long data processing which may increase patient discomfort and be laborious for the clinicians [2,3].…”
Cardiac, respiratory, and patient body motion artifacts degrade the image quality and quantitative accuracy of the nuclear medicine imaging which may lead to incorrect diagnosis, unnecessary treatment and insufficient therapy. We present a new miniaturized system including joint micro electromechanical (MEMS) accelerometer and gyroscope sensors for simultaneous extraction of cardiac and respiratory signals. We employ two tri-axial joint MEMS sensors for selecting an optimal trigger point in a cardiac and respiratory cycle. The 6-axis motion sensing helps to detect candidate features for cardiac and respiratory gating in Positron emission tomography (PET) imaging. The aim of this study was to validate MEMS-derived signals against traditional Real-time Position Management (RPM) and electrocardiography (ECG) measurement systems in 4 healthy volunteers. High agreement and correlation were found between cardiac and respiratory cycle intervals. These promising first results warrant for further investigations.
IntroductionIn cardiac and oncologic Positron emission tomography (PET)/computed tomography (CT) imaging, cardiac, respiratory, and patient body motions may impair the image quality and the quantitative accuracy of heart imaging [1][2][3]. To reduce motion-related inaccuracies, cardiac and respiratory gating methods are the most common approaches applied in clinical PET imaging [4]. Simultaneous respiratory and cardiac gating, namely dual gating, can reduce motion-related inaccuracies and correspondingly imaging resolution in cardiac PET and oncological applications [5]. Cardiac gating is accomplished by an electrocardiography (ECG) measurement system, while respiratory gating can be performed by external devices such as spirometry, elastic belts (consisting of pressure or load cell sensors) monitors or using optical techniques including a camera and laser sensor that track chest wall or abdomen displacement [3,6,7]. However, respiratory gating devices have been considered for only research purposes due to the need for complex logistics and long data processing which may increase patient discomfort and be laborious for the clinicians [2,3]. Additionally, ECG is able to show only electrical activity of the heart and still fails to trace the instantaneous mechanical state of the heart due to the stirring movements of the myocardium [8]. Thus, these challenges complicate PET imaging protocols and create a serious demand for simultaneous recording of cardiac and respiratory signals in dual gating. Recently, new techniques based on bioimpedance [2, 9] and accelerometers [10] have been suggested for concurrent acquisition of both respiratory and cardiac signals in oncologic and cardiac PET imaging. However, there is still space to optimize these methods, especially in terms of technology, accuracy, and patient comfort. We present a new framework based upon tri-axial microelectromechanical (MEMS) accelerometer and gyroscope sensors to extract cardiac and respiratory signals. Our main objective in this study is t...
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