Abstract:Routine use of cardiac positron emission tomography (PET) applications has been increasing but has not replaced cardiac single-photon emission computerized tomography (SPECT) studies yet. The majority of cardiac PET tracers, with the exception of fluorine-18 fluorodeoxyglucose (18F-FDG), are not widely available, as they require either an onsite cyclotron or a costly generator for their production. 18F-FDG PET imaging has high sensitivity for the detection of hibernating/viable myocardium and has replaced Tl-2… Show more
“…Different from computed tomography (CT) and magnetic resonance imaging (MRI), PET provides insight into the biochemical and physiological processes of the human body [1]. Due to its unique advantages, PET has been widely used in many medical imaging applications, such as clinical oncology [2], cardiac usages [3], and certain brain diseases [4–6]. The PET scanning is non-invasive, however, the radiotracer used for PET imaging (e.g., 18F-FDG) involves ionizing radiation.…”
Objective
To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic resonance imaging (MRI).
Methods
It was achieved by patch-based sparse representation (SR), using the training samples with a complete set of MRI, L-PET and S-PET modalities for dictionary construction. However, the number of training samples with complete modalities is often limited. In practice, many samples generally have incomplete modalities (i.e., with one or two missing modalities) that thus cannot be used in the prediction process. In light of this, we develop a semi-supervised tripled dictionary learning (SSTDL) method for S-PET image prediction, which can utilize not only the samples with complete modalities (called complete samples) but also the samples with incomplete modalities (called incomplete samples), to take advantage of the large number of available training samples and thus further improve the prediction performance.
Results
Validation was done on a real human brain dataset consisting of 18 subjects, and the results show that our method is superior to the SR and other baseline methods.
Conclusion
This work proposed a new S-PET prediction method, which can significantly improve the PET image quality with low-dose injection.
Significance
The proposed method is favorable in clinical application since it can decrease the potential radiation risk for patients.
“…Different from computed tomography (CT) and magnetic resonance imaging (MRI), PET provides insight into the biochemical and physiological processes of the human body [1]. Due to its unique advantages, PET has been widely used in many medical imaging applications, such as clinical oncology [2], cardiac usages [3], and certain brain diseases [4–6]. The PET scanning is non-invasive, however, the radiotracer used for PET imaging (e.g., 18F-FDG) involves ionizing radiation.…”
Objective
To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic resonance imaging (MRI).
Methods
It was achieved by patch-based sparse representation (SR), using the training samples with a complete set of MRI, L-PET and S-PET modalities for dictionary construction. However, the number of training samples with complete modalities is often limited. In practice, many samples generally have incomplete modalities (i.e., with one or two missing modalities) that thus cannot be used in the prediction process. In light of this, we develop a semi-supervised tripled dictionary learning (SSTDL) method for S-PET image prediction, which can utilize not only the samples with complete modalities (called complete samples) but also the samples with incomplete modalities (called incomplete samples), to take advantage of the large number of available training samples and thus further improve the prediction performance.
Results
Validation was done on a real human brain dataset consisting of 18 subjects, and the results show that our method is superior to the SR and other baseline methods.
Conclusion
This work proposed a new S-PET prediction method, which can significantly improve the PET image quality with low-dose injection.
Significance
The proposed method is favorable in clinical application since it can decrease the potential radiation risk for patients.
“…Thus, it is necessary to monitor the microcirculatory blood flow of the myocardium to evaluate treatment effectiveness. The new PET tracer, 18 F-flurpiridaz, with high myocardial extraction, allows quantitative MBF estimation from dynamic PET data and tracer kinetic modeling (32). MPI is a simple and noninvasive method for detecting myocardial ischemia, monitoring MBF after ROSC.…”
The aim of this study was to investigate the influence of enhanced external counterpulsation (EECP) on the cardiac function of beagle dogs after prolonged ventricular fibrillation. Twenty-four adult male beagles were randomly divided into control and EECP groups. Ventricular fibrillation was induced in the animals for 12 min, followed by 2 min of cardiopulmonary resuscitation. They then received EECP therapy for 4 h (EECP group) or not (control group). The hemodynamics was monitored using the PiCCO2 system. Blood gas and hemorheology were assessed at baseline and at 1, 2, and 4 h after return of spontaneous circulation (ROSC). The myocardial blood flow (MBF) was quantified by 18 F-flurpiridaz PET myocardial perfusion imaging at baseline and 4 h after ROSC. Survival time of the animals was recorded within 24 h. Ventricular fibrillation was successfully induced in all animals, and they achieved ROSC after cardiopulmonary resuscitation. Survival time of the control group was shorter than that of the EECP group [median of 8 h (min 8 h, max 21 h) vs median of 24 h (min 16 h, max 24 h) (Kaplan Meyer plot analysis, P=0.0152). EECP improved blood gas analysis findings and increased the coronary perfusion pressure and MBF value. EECP also improved the cardiac function of Beagles after ROSC in multiple aspects, significantly increased blood flow velocity, and decreased plasma viscosity, erythrocyte aggregation index, and hematocrit levels. EECP improved the hemodynamics of beagle dogs and increased MBF, subsequently improving cardiac function and ultimately improving the survival time of animals after ROSC.
“…Cardiac positron emission tomography (PET) can also measure myocardial metabolic reaction kinetics through the uptake of tracers . It is able to confirm viability in suspected hibernating myocardium using glucose tracers .…”
Section: Discussionmentioning
confidence: 99%
“…Cardiac positron emission tomography (PET) can also measure myocardial metabolic reaction kinetics through the uptake of tracers. 29 It is able to confirm viability in suspected hibernating myocardium using glucose tracers. 30 PET is able to detect uptake in ingressing inflammatory cells and has emerging roles in the detection of prosthetic valve endocarditis 31 and inflammatory atherosclerotic coronary and carotid plaques.…”
Changes in the kinetics of the creatine kinase (CK) shuttle are sensitive markers of cardiac energetics but are typically measured at rest and in the prone position. This study aims to measure CK kinetics during pharmacological stress at 3 T, with measurement in the supine position. A shorter “stressed saturation transfer” (StreST) extension to the triple repetition time saturation transfer (TRiST) method is proposed. We assess scanning in a supine position and validate the MR measurement against biopsy assay of CK activity. We report normal ranges of stress CK forward rate (k
f
CK
) for healthy volunteers and obese patients.
TRiST measures k
f
CK
in 40 min at 3 T. StreST extends the previously developed TRiST to also make a further k
f
CK
measurement during <20 min of dobutamine stress. We test our TRiST implementation in skeletal muscle and myocardium in both prone and supine positions. We evaluate StreST in the myocardium of six healthy volunteers and 34 obese subjects. We validated MR‐measured k
f
CK
against biopsy assays of CK activity.
TRiST k
f
CK
values matched literature values in skeletal muscle (k
f
CK
= 0.25 ± 0.03 s
−1
vs 0.27 ± 0.03 s
−1
) and myocardium when measured in the prone position (0.32 ± 0.15 s
−1
), but a significant difference was found for TRiST k
f
CK
measured supine (0.24 ± 0.12 s
−1
). This difference was because of different respiratory‐ and cardiac‐motion‐induced B
0
changes in the two positions. Using supine TRiST, cardiac k
f
CK
values for normal‐weight subjects were 0.15 ± 0.09 s
−1
at rest and 0.17 ± 0.15 s
−1
during stress. For obese subjects, k
f
CK
was 0.16 ± 0.07 s
−1
at rest and 0.17 ± 0.10 s
−1
during stress. Rest myocardial k
f
CK
and CK activity from LV biopsies of the same subjects correlated (
R
= 0.43,
p
= 0.03).
We present an independent implementation of TRiST on the Siemens platform using a commercially available coil. Our extended StreST protocol enables cardiac k
f
CK
to be measured during dobutamine‐induced stress in the supine position.
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