Objective: To describe the MRI abnormalities observed in acute myocarditis. Materials and Methods: Retrospective cross-sectional study with a descriptive aim, carried out at the North Franche-Comte Hospital, over a pe...Objective: To describe the MRI abnormalities observed in acute myocarditis. Materials and Methods: Retrospective cross-sectional study with a descriptive aim, carried out at the North Franche-Comte Hospital, over a period of 12 months, from January 2021 to December 2021. It covered all patients who received an MRI of heart disease and were diagnosed with myocarditis. The diagnosis of myocarditis was retained in all patients on the basis of two arguments: a T2 PSIR hyper signal and a late enhancement at 15 min in T1 PSIR with gadolinium. Results: Myocarditis was diagnosed in 20 patients out of a total of 214 who performed cardiac MRI, i.e. 10.30% of cases. The average age was 33.7 ± 14.3 with extremes of 17 and 69 years. We observed a male predominance with 11 men (55%) for 9 women (45%) or a sex ratio of 1.2. Clinical suspicion of myocarditis and acute coronary syndrome were the main indications for MRI. The lesion sites were subepicardial (95%) and/or intramural (30%), respecting the subendocardium, interesting for the majority, segments 12 (anterolateral) in 50% and/or 11 (inferolateral) in 43% of cases. Global hypokinesia was observed in 30% of patients associated with a decrease in LVEF. There was no cardiac volume abnormality or valvular abnormality. Conclusion: Cardiac MRI is nowadays the most efficient non-invasive imaging in the diagnosis of acute myocarditis. The diagnosis of myocarditis was made on 2 pathognomonic signs, namely a T2 STIR hyper signal and late enhancement at 15 min in T1 PSIR after injection of gadolinium. The morphology and lesion locations were in agreement with those described in previous studies. Global hypokinesia and pericardial effusion were observed in some patients. On the other hand, there was neither valvular anomaly, nor cardiac volume anomaly.展开更多
The automatic localization of the left ventricle(LV)in short-axis magnetic resonance(MR)images is a required step to process cardiac images using convolutional neural networks for the extraction of a region of interes...The automatic localization of the left ventricle(LV)in short-axis magnetic resonance(MR)images is a required step to process cardiac images using convolutional neural networks for the extraction of a region of interest(ROI).The precise extraction of the LV’s ROI from cardiac MRI images is crucial for detecting heart disorders via cardiac segmentation or registration.Nevertheless,this task appears to be intricate due to the diversities in the size and shape of the LV and the scattering of surrounding tissues across different slices.Thus,this study proposed a region-based convolutional network(Faster R-CNN)for the LV localization from short-axis cardiac MRI images using a region proposal network(RPN)integrated with deep feature classification and regression.Themodel was trained using images with corresponding bounding boxes(labels)around the LV,and various experiments were applied to select the appropriate layers and set the suitable hyper-parameters.The experimental findings showthat the proposed modelwas adequate,with accuracy,precision,recall,and F1 score values of 0.91,0.94,0.95,and 0.95,respectively.This model also allows the cropping of the detected area of LV,which is vital in reducing the computational cost and time during segmentation and classification procedures.Therefore,itwould be an ideal model and clinically applicable for diagnosing cardiac diseases.展开更多
Systemic sclerosis (scleroderma) is a connective tissue disease characterized by vascular dysfunction and fibrosis that can affect multiple organ systems. We present case of primary cardiac involvement and the diagnos...Systemic sclerosis (scleroderma) is a connective tissue disease characterized by vascular dysfunction and fibrosis that can affect multiple organ systems. We present case of primary cardiac involvement and the diagnostic role of cardiac MRI. Cardiovascular magnetic resonance imaging (MRI) is an accurate, quantitative method for the non-invasive assessment of myocardial perfusion. The presence of clinically apparent myocardial involvement in scleroderma portends a very poor prognosis. One study of US veterans found that clinical cardiac disease in scleroderma was associated with a 70% mortality rate at five years. Management of heart failure and conduction system abnormalities in scleroderma is similar to other cardiac disease. It includes afterload reduction, beta-blockade, defibrillator placement, etc. Patients with reduced cardiac function and normal coronary arteries may benefit from increased immune suppresion.展开更多
This study described the radiological features on echocardiography and MRI specific to cardiac amyloidosis confirmed on biopsy. Eleven cases of biopsy-proven cardiac amyloidosis were retrospectively reviewed in this s...This study described the radiological features on echocardiography and MRI specific to cardiac amyloidosis confirmed on biopsy. Eleven cases of biopsy-proven cardiac amyloidosis were retrospectively reviewed in this study. All patients underwent biopsy, cardiac MRI and echocardiography. The main echocardiography and MRI findings were as follows: diffuse ventricular and septum wall thickening, atrial enlargement, pericardial effusion, restricted left ventricular (LV) systolic and diastolic function, characteristic granular sparkling of myocardium. MRI revealed a characteristic pattern of global subendocardial late enhancement, extending in varying degrees into the neighboring myocardium. The findings agreed with the infiltration distribution of amyloid protein. Typical abnormalities seen on echocardiography and MRI should have important diagnostic and prognostic value of cardiac amyloidosis. MRI should be considered in the diagnosis of cardiac amyloidosis if echocardiographic features are suspicious.展开更多
This paper presents a nonlinear profile order scheme for three-dimensional(3D) hybrid radial acquisition applied to self-gated, free-breathing cardiac cine magnetic resonance imaging(MRI). In self-gated, free-brea...This paper presents a nonlinear profile order scheme for three-dimensional(3D) hybrid radial acquisition applied to self-gated, free-breathing cardiac cine magnetic resonance imaging(MRI). In self-gated, free-breathing cardiac cine MRI,respiratory and cardiac motions are unpredictable during acquisition, especially for retrospective reconstruction. Therefore,the non-uniformity of the k-space distribution is an issue of great concern during retrospective self-gated reconstruction. A nonlinear profile order with varying azimuthal increments was provided and compared with the existing golden ratio-based profile order. Optimal parameter values for the nonlinear formula were chosen based on simulations. The two profile orders were compared in terms of the k-space distribution and phantom and human image results. An approximately uniform distribution was obtained based on the nonlinear profile order for persons with various heart rates and breathing patterns.The nonlinear profile order provides more stable profile distributions and fewer streaking artifacts in phantom images. In a comparison of human cardiac cine images, the nonlinear profile order provided results comparable to those provided by the golden ratio-based profile order, and the images were suitable for diagnosis. In conclusion, the nonlinear profile order scheme was demonstrated to be insensitive to various motion patterns and more useful for retrospective reconstruction.展开更多
Background: In the present study, we sought to describe a procedure for the creation of co-registered positron emission tomography (PET) and magnetic resonance imaging (MRI) polar plots of cardiac PET/MRI examinations...Background: In the present study, we sought to describe a procedure for the creation of co-registered positron emission tomography (PET) and magnetic resonance imaging (MRI) polar plots of cardiac PET/MRI examinations, validate the resulting plots against available standard methods in patients with myocardial infarction and provide examples that demonstrate the advantage of the novel approach over existing standards. Methods: Co-registered LGE and PET short-axis images were transformed into polar maps based on a radial sampling pattern. LGE was automatically detected using an automated thresholding algorithm (ATA). In 20 PET/MRI examinations in patients with acute myocardial infarction, agreement between manual LGE assessment and the ATA classification was calculated. Also agreement between MRI-segmentation based PET polar plots and standard PET polar plots (created with the Corridor4DM software package) was assessed. Results: No statistically significant difference in infarct sizes between manual and ATA segmentation was found (p = 0.12). Both methods were highly correlated (Pearson’s r = 0.96, p Conclusion: A straightforward software approach for the creation of co-registered PET and MRI polar plots was described and successfully demonstrated in PET/MRI studies of myocardial infarction and inflammation.展开更多
针对左心室外轮廓类似椭圆的特点,提出了基于椭圆约束的水平集模型,该模型在Chan and Vese模型的基础上增加椭圆形状约束项,来控制曲线的演化,将水平集的演化曲线作为对轮廓新的位置预测,并用椭圆对预测结果进行修正,把预测结果和修正...针对左心室外轮廓类似椭圆的特点,提出了基于椭圆约束的水平集模型,该模型在Chan and Vese模型的基础上增加椭圆形状约束项,来控制曲线的演化,将水平集的演化曲线作为对轮廓新的位置预测,并用椭圆对预测结果进行修正,把预测结果和修正结果分别作为新的水平集曲线和椭圆信息,直到曲线停止演化。实验表明,该方法能够有效地分割心脏外轮廓。展开更多
文摘Objective: To describe the MRI abnormalities observed in acute myocarditis. Materials and Methods: Retrospective cross-sectional study with a descriptive aim, carried out at the North Franche-Comte Hospital, over a period of 12 months, from January 2021 to December 2021. It covered all patients who received an MRI of heart disease and were diagnosed with myocarditis. The diagnosis of myocarditis was retained in all patients on the basis of two arguments: a T2 PSIR hyper signal and a late enhancement at 15 min in T1 PSIR with gadolinium. Results: Myocarditis was diagnosed in 20 patients out of a total of 214 who performed cardiac MRI, i.e. 10.30% of cases. The average age was 33.7 ± 14.3 with extremes of 17 and 69 years. We observed a male predominance with 11 men (55%) for 9 women (45%) or a sex ratio of 1.2. Clinical suspicion of myocarditis and acute coronary syndrome were the main indications for MRI. The lesion sites were subepicardial (95%) and/or intramural (30%), respecting the subendocardium, interesting for the majority, segments 12 (anterolateral) in 50% and/or 11 (inferolateral) in 43% of cases. Global hypokinesia was observed in 30% of patients associated with a decrease in LVEF. There was no cardiac volume abnormality or valvular abnormality. Conclusion: Cardiac MRI is nowadays the most efficient non-invasive imaging in the diagnosis of acute myocarditis. The diagnosis of myocarditis was made on 2 pathognomonic signs, namely a T2 STIR hyper signal and late enhancement at 15 min in T1 PSIR after injection of gadolinium. The morphology and lesion locations were in agreement with those described in previous studies. Global hypokinesia and pericardial effusion were observed in some patients. On the other hand, there was neither valvular anomaly, nor cardiac volume anomaly.
基金supported by the Ministry of Higher Education(MOHE)through the Fundamental Research Grant Scheme(FRGS)(FRGS/1/2020/TK0/UTHM/02/16)the Universiti Tun Hussein Onn Malaysia(UTHM)through an FRGS Research Grant(Vot K304).
文摘The automatic localization of the left ventricle(LV)in short-axis magnetic resonance(MR)images is a required step to process cardiac images using convolutional neural networks for the extraction of a region of interest(ROI).The precise extraction of the LV’s ROI from cardiac MRI images is crucial for detecting heart disorders via cardiac segmentation or registration.Nevertheless,this task appears to be intricate due to the diversities in the size and shape of the LV and the scattering of surrounding tissues across different slices.Thus,this study proposed a region-based convolutional network(Faster R-CNN)for the LV localization from short-axis cardiac MRI images using a region proposal network(RPN)integrated with deep feature classification and regression.Themodel was trained using images with corresponding bounding boxes(labels)around the LV,and various experiments were applied to select the appropriate layers and set the suitable hyper-parameters.The experimental findings showthat the proposed modelwas adequate,with accuracy,precision,recall,and F1 score values of 0.91,0.94,0.95,and 0.95,respectively.This model also allows the cropping of the detected area of LV,which is vital in reducing the computational cost and time during segmentation and classification procedures.Therefore,itwould be an ideal model and clinically applicable for diagnosing cardiac diseases.
文摘Systemic sclerosis (scleroderma) is a connective tissue disease characterized by vascular dysfunction and fibrosis that can affect multiple organ systems. We present case of primary cardiac involvement and the diagnostic role of cardiac MRI. Cardiovascular magnetic resonance imaging (MRI) is an accurate, quantitative method for the non-invasive assessment of myocardial perfusion. The presence of clinically apparent myocardial involvement in scleroderma portends a very poor prognosis. One study of US veterans found that clinical cardiac disease in scleroderma was associated with a 70% mortality rate at five years. Management of heart failure and conduction system abnormalities in scleroderma is similar to other cardiac disease. It includes afterload reduction, beta-blockade, defibrillator placement, etc. Patients with reduced cardiac function and normal coronary arteries may benefit from increased immune suppresion.
文摘This study described the radiological features on echocardiography and MRI specific to cardiac amyloidosis confirmed on biopsy. Eleven cases of biopsy-proven cardiac amyloidosis were retrospectively reviewed in this study. All patients underwent biopsy, cardiac MRI and echocardiography. The main echocardiography and MRI findings were as follows: diffuse ventricular and septum wall thickening, atrial enlargement, pericardial effusion, restricted left ventricular (LV) systolic and diastolic function, characteristic granular sparkling of myocardium. MRI revealed a characteristic pattern of global subendocardial late enhancement, extending in varying degrees into the neighboring myocardium. The findings agreed with the infiltration distribution of amyloid protein. Typical abnormalities seen on echocardiography and MRI should have important diagnostic and prognostic value of cardiac amyloidosis. MRI should be considered in the diagnosis of cardiac amyloidosis if echocardiographic features are suspicious.
基金supported by the National Natural Science Foundation of China(Grant Nos.81501463,61671026,81571669,and 81671853)the Natural Science Foundation of Guangdong Province,China(Grant No.2014A030310360)+3 种基金Guangdong Innovative Research Team Program of China(Grant No.2011S013)the Basic Research Project of Shenzhen City,China(Grant Nos.JCYJ20140417113430639 and JCYJ20160429172357751)the High-level Oversea Talent Program of Shenzhen City,China(Grant No.KQJSCX20160301144248)Beijing Center for Mathematics and Information Interdisciplinary Sciences of China
文摘This paper presents a nonlinear profile order scheme for three-dimensional(3D) hybrid radial acquisition applied to self-gated, free-breathing cardiac cine magnetic resonance imaging(MRI). In self-gated, free-breathing cardiac cine MRI,respiratory and cardiac motions are unpredictable during acquisition, especially for retrospective reconstruction. Therefore,the non-uniformity of the k-space distribution is an issue of great concern during retrospective self-gated reconstruction. A nonlinear profile order with varying azimuthal increments was provided and compared with the existing golden ratio-based profile order. Optimal parameter values for the nonlinear formula were chosen based on simulations. The two profile orders were compared in terms of the k-space distribution and phantom and human image results. An approximately uniform distribution was obtained based on the nonlinear profile order for persons with various heart rates and breathing patterns.The nonlinear profile order provides more stable profile distributions and fewer streaking artifacts in phantom images. In a comparison of human cardiac cine images, the nonlinear profile order provided results comparable to those provided by the golden ratio-based profile order, and the images were suitable for diagnosis. In conclusion, the nonlinear profile order scheme was demonstrated to be insensitive to various motion patterns and more useful for retrospective reconstruction.
文摘Background: In the present study, we sought to describe a procedure for the creation of co-registered positron emission tomography (PET) and magnetic resonance imaging (MRI) polar plots of cardiac PET/MRI examinations, validate the resulting plots against available standard methods in patients with myocardial infarction and provide examples that demonstrate the advantage of the novel approach over existing standards. Methods: Co-registered LGE and PET short-axis images were transformed into polar maps based on a radial sampling pattern. LGE was automatically detected using an automated thresholding algorithm (ATA). In 20 PET/MRI examinations in patients with acute myocardial infarction, agreement between manual LGE assessment and the ATA classification was calculated. Also agreement between MRI-segmentation based PET polar plots and standard PET polar plots (created with the Corridor4DM software package) was assessed. Results: No statistically significant difference in infarct sizes between manual and ATA segmentation was found (p = 0.12). Both methods were highly correlated (Pearson’s r = 0.96, p Conclusion: A straightforward software approach for the creation of co-registered PET and MRI polar plots was described and successfully demonstrated in PET/MRI studies of myocardial infarction and inflammation.
文摘针对左心室外轮廓类似椭圆的特点,提出了基于椭圆约束的水平集模型,该模型在Chan and Vese模型的基础上增加椭圆形状约束项,来控制曲线的演化,将水平集的演化曲线作为对轮廓新的位置预测,并用椭圆对预测结果进行修正,把预测结果和修正结果分别作为新的水平集曲线和椭圆信息,直到曲线停止演化。实验表明,该方法能够有效地分割心脏外轮廓。