Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronar...Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronary artery disease(CAD).The automatic classification of SPECT images for different techniques has achieved near-optimal accuracy when using convolutional neural networks(CNNs).This paper uses a SPECT classification framework with three steps:1)Image denoising,2)Attenuation correction,and 3)Image classification.Image denoising is done by a U-Net architecture that ensures effective image denoising.Attenuation correction is implemented by a convolution neural network model that can remove the attenuation that affects the feature extraction process of classification.Finally,a novel multi-scale diluted convolution(MSDC)network is proposed.It merges the features extracted in different scales and makes the model learn the features more efficiently.Three scales of filters with size 3×3 are used to extract features.All three steps are compared with state-of-the-art methods.The proposed denoising architecture ensures a high-quality image with the highest peak signal-to-noise ratio(PSNR)value of 39.7.The proposed classification method is compared with the five different CNN models,and the proposed method ensures better classification with an accuracy of 96%,precision of 87%,sensitivity of 87%,specificity of 89%,and F1-score of 87%.To demonstrate the importance of preprocessing,the classification model was analyzed without denoising and attenuation correction.展开更多
Objective: To identify the high risk myocardial perfusion defects which prognosticate the future ischemic cardiac events, on Positron emission tomography (PET) myocardial perfusion imaging (MPI) of intermediate corona...Objective: To identify the high risk myocardial perfusion defects which prognosticate the future ischemic cardiac events, on Positron emission tomography (PET) myocardial perfusion imaging (MPI) of intermediate coronary stenosis (ICS) on coronary angiogram (CAG) with negative single photon emission computed tomography (SPECT) MPI in chronic stable angina (CSA) patients. Methods: For this study non-infarcted CSA patients of single vessel disease (SVD) on CAG with ICS and normal LV function were selected. In all patients with negative stress SPECT MPI, stress PET MPI was done. In both scans, extent score (ES), severity score (SS), total severity/extent score ratio (TS-ES R) and Left ventricular dilatation (LVD) were noted. Patients with Positive PET MPI were closely followed for 2yrs and PCI was performed depending on symptoms. Results: Out of 47 study group patients, during 2yr follow up period, 11 out of 15 patients with ischemia positive PET MPI underwent percutaneous coronary intervention (PCI). Indication for PCI was rest or persistence or recurrence of angina. Four of 15 patients remained asymptomatic. In medically managed vs. PCI done patients, mean of ES was 1.2 ± 0.5 vs. 2.3 ± 1, SS was 1.2 ± 0.5 vs. 5.3 ± 1.9, TS-ESR was 1 vs. 2.5 ± 0.5 which was statistically significant (p = 0.01). Conclusion: It was inferred that subgroup of PET MPI positive ICS patients with basal PET MPI showing SS > 5 and TS-ES R > 1.5 with LVD during stress required close follow up as they are likely require PCI subsequently. Condensed Abstract: As negative for inducible ischemia by single photon emission computed tomography myocardial perfusion imaging (SPECT MPI) is associated with low cardiac event rate, even though positive imaging by Positron emission tomography myocardial perfusion imaging (PET MPI), in patients with intermediate Coronary stenosis (ICS) may not require immediate percutaneous coronary intervention (PCI). We fol-lowed these patients for two 2yrs and identified that basal PET MPI showing total severity scor展开更多
基金the Research Grant of Kwangwoon University in 2024.
文摘Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronary artery disease(CAD).The automatic classification of SPECT images for different techniques has achieved near-optimal accuracy when using convolutional neural networks(CNNs).This paper uses a SPECT classification framework with three steps:1)Image denoising,2)Attenuation correction,and 3)Image classification.Image denoising is done by a U-Net architecture that ensures effective image denoising.Attenuation correction is implemented by a convolution neural network model that can remove the attenuation that affects the feature extraction process of classification.Finally,a novel multi-scale diluted convolution(MSDC)network is proposed.It merges the features extracted in different scales and makes the model learn the features more efficiently.Three scales of filters with size 3×3 are used to extract features.All three steps are compared with state-of-the-art methods.The proposed denoising architecture ensures a high-quality image with the highest peak signal-to-noise ratio(PSNR)value of 39.7.The proposed classification method is compared with the five different CNN models,and the proposed method ensures better classification with an accuracy of 96%,precision of 87%,sensitivity of 87%,specificity of 89%,and F1-score of 87%.To demonstrate the importance of preprocessing,the classification model was analyzed without denoising and attenuation correction.
文摘Objective: To identify the high risk myocardial perfusion defects which prognosticate the future ischemic cardiac events, on Positron emission tomography (PET) myocardial perfusion imaging (MPI) of intermediate coronary stenosis (ICS) on coronary angiogram (CAG) with negative single photon emission computed tomography (SPECT) MPI in chronic stable angina (CSA) patients. Methods: For this study non-infarcted CSA patients of single vessel disease (SVD) on CAG with ICS and normal LV function were selected. In all patients with negative stress SPECT MPI, stress PET MPI was done. In both scans, extent score (ES), severity score (SS), total severity/extent score ratio (TS-ES R) and Left ventricular dilatation (LVD) were noted. Patients with Positive PET MPI were closely followed for 2yrs and PCI was performed depending on symptoms. Results: Out of 47 study group patients, during 2yr follow up period, 11 out of 15 patients with ischemia positive PET MPI underwent percutaneous coronary intervention (PCI). Indication for PCI was rest or persistence or recurrence of angina. Four of 15 patients remained asymptomatic. In medically managed vs. PCI done patients, mean of ES was 1.2 ± 0.5 vs. 2.3 ± 1, SS was 1.2 ± 0.5 vs. 5.3 ± 1.9, TS-ESR was 1 vs. 2.5 ± 0.5 which was statistically significant (p = 0.01). Conclusion: It was inferred that subgroup of PET MPI positive ICS patients with basal PET MPI showing SS > 5 and TS-ES R > 1.5 with LVD during stress required close follow up as they are likely require PCI subsequently. Condensed Abstract: As negative for inducible ischemia by single photon emission computed tomography myocardial perfusion imaging (SPECT MPI) is associated with low cardiac event rate, even though positive imaging by Positron emission tomography myocardial perfusion imaging (PET MPI), in patients with intermediate Coronary stenosis (ICS) may not require immediate percutaneous coronary intervention (PCI). We fol-lowed these patients for two 2yrs and identified that basal PET MPI showing total severity scor
