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1,085 results on '"Patel, Amit R."'

4. Topology Optimization for Maximum Daily Solar Radiation for a Large-Scale Non-tracking Heliostat Solar Reflector Using CFD Analysis

Author

Shiyal, Sunny J., Pravinbhai, Bamaniya Jayesh, Satsangi, Guru Bachan, Patel, Amit R., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Singh, Krishna Mohan, editor, Dutta, Sushanta, editor, Subudhi, Sudhakar, editor, and Singh, Nikhil Kumar, editor

Published
2024
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5. Energy Policy

Author

Patel, Amit R., primary, Sarkar, Prabir, additional, Singh, Harpreet, additional, and Tyagi, Himanshu, additional

Published
2024
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6. Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac MRI

Author

Xing, Jiarui, Wang, Shuo, Bilchick, Kenneth C., Patel, Amit R., and Zhang, Miaomiao

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Automated identification of myocardial scar from late gadolinium enhancement cardiac magnetic resonance images (LGE-CMR) is limited by image noise and artifacts such as those related to motion and partial volume effect. This paper presents a novel joint deep learning (JDL) framework that improves such tasks by utilizing simultaneously learned myocardium segmentations to eliminate negative effects from non-region-of-interest areas. In contrast to previous approaches treating scar detection and myocardium segmentation as separate or parallel tasks, our proposed method introduces a message passing module where the information of myocardium segmentation is directly passed to guide scar detectors. This newly designed network will efficiently exploit joint information from the two related tasks and use all available sources of myocardium segmentation to benefit scar identification. We demonstrate the effectiveness of JDL on LGE-CMR images for automated left ventricular (LV) scar detection, with great potential to improve risk prediction in patients with both ischemic and non-ischemic heart disease and to improve response rates to cardiac resynchronization therapy (CRT) for heart failure patients. Experimental results show that our proposed approach outperforms multiple state-of-the-art methods, including commonly used two-step segmentation-classification networks, and multitask learning schemes where subtasks are indirectly interacted.

Published
2022

7. Multitask Learning for Improved Late Mechanical Activation Detection of Heart from Cine DENSE MRI

Author

Xing, Jiarui, Wang, Shuo, Bilchick, Kenneth C., Epstein, Frederick H., Patel, Amit R., and Zhang, Miaomiao

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

The selection of an optimal pacing site, which is ideally scar-free and late activated, is critical to the response of cardiac resynchronization therapy (CRT). Despite the success of current approaches formulating the detection of such late mechanical activation (LMA) regions as a problem of activation time regression, their accuracy remains unsatisfactory, particularly in cases where myocardial scar exists. To address this issue, this paper introduces a multi-task deep learning framework that simultaneously estimates LMA amount and classify the scar-free LMA regions based on cine displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI). With a newly introduced auxiliary LMA region classification sub-network, our proposed model shows more robustness to the complex pattern cause by myocardial scar, significantly eliminates their negative effects in LMA detection, and in turn improves the performance of scar classification. To evaluate the effectiveness of our method, we tests our model on real cardiac MR images and compare the predicted LMA with the state-of-the-art approaches. It shows that our approach achieves substantially increased accuracy. In addition, we employ the gradient-weighted class activation mapping (Grad-CAM) to visualize the feature maps learned by all methods. Experimental results suggest that our proposed model better recognizes the LMA region pattern.

Published
2022

8. Cardiac Magnetic Resonance, Electromechanical Activation, Kidney Function, and Natriuretic Peptides in Cardiac Resynchronization Therapy Upgrades

Author

Bivona, Derek J, Oomen, Pim JA, Wang, Yu, Morales, Frances L, Abdi, Mohamad, Gao, Xu, Malhotra, Rohit, Darby, Andrew, Mehta, Nishaki, Monfredi, Oliver J, Mangrum, J Michael, Mason, Pamela K, Levy, Wayne C, Mazimba, Sula, Patel, Amit R, Epstein, Frederick H, and Bilchick, Kenneth C

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Heart Disease, Cardiovascular, Clinical Research, Biomedical Imaging, cardiac magnetic resonance, heart failure, cardiac resynchronization therapy, pacemakers, natriuretic peptides, Cardiovascular medicine and haematology
Abstract

As the mechanism for worse prognosis after cardiac resynchronization therapy (CRT) upgrades in heart failure patients with RVP dependence (RVP-HF) has clinical implications for patient selection and CRT implementation approaches, this study's objective was to evaluate prognostic implications of cardiac magnetic resonance (CMR) findings and clinical factors in 102 HF patients (23.5% female, median age 66.5 years old, median follow-up 4.8 years) with and without RVP dependence undergoing upgrade and de novo CRT implants. Compared with other CRT groups, RVP-HF patients had decreased survival (p = 0.02), more anterior late-activated LV pacing sites (p = 0.002) by CMR, more atrial fibrillation (p = 0.0006), and higher creatinine (0.002). CMR activation timing at the LV pacing site predicted post-CRT LV functional improvement (p < 0.05), and mechanical activation onset < 34 ms by CMR at the LVP site was associated with decreased post-CRT survival in a model with higher pre-CRT creatinine and B-type natriuretic peptide (AUC 0.89; p < 0.0001); however, only the higher pre-CRT creatinine partially mediated (37%) the decreased survival in RVP-HF patients. In conclusion, RVP-HF had a distinct CMR phenotype, which has important implications for the selection of LV pacing sites in CRT upgrades, and only chronic kidney disease mediated the decreased survival after CRT in RVP-HF.

Published
2023

9. Qualitative and Quantitative Stress Perfusion Cardiac Magnetic Resonance in Clinical Practice: A Comprehensive Review

Author

Zhou, Wenli, Sin, Jason, Yan, Andrew T, Wang, Haonan, Lu, Jing, Li, Yuehua, Kim, Paul, Patel, Amit R, and Ng, Ming-Yen

Subjects
Clinical Research, Atherosclerosis, Heart Disease - Coronary Heart Disease, Cardiovascular, Biomedical Imaging, Heart Disease, 4.1 Discovery and preclinical testing of markers and technologies, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, stress imaging, cardiac magnetic resonance imaging, myocardial ischemia, coronary artery disease, coronary microvascular dysfunction
Abstract

Stress cardiovascular magnetic resonance (CMR) imaging is a well-validated non-invasive stress test to diagnose significant coronary artery disease (CAD), with higher diagnostic accuracy than other common functional imaging modalities. One-stop assessment of myocardial ischemia, cardiac function, and myocardial viability qualitatively and quantitatively has been proven to be a cost-effective method in clinical practice for CAD evaluation. Beyond diagnosis, stress CMR also provides prognostic information and guides coronary revascularisation. In addition to CAD, there is a large body of literature demonstrating CMR's diagnostic performance and prognostic value in other common cardiovascular diseases (CVDs), especially coronary microvascular dysfunction (CMD). This review focuses on the clinical applications of stress CMR, including stress CMR scanning methods, practical interpretation of stress CMR images, and clinical utility of stress CMR in a setting of CVDs with possible myocardial ischemia.

Published
2023

13. Association of Adverse Clinical Outcomes With Peri-Infarct Ischemia Detected by Stress Cardiac Magnetic Imaging

Author

Bernhard, Benedikt, Ge, Yin, Antiochos, Panagiotis, Heydari, Bobak, Islam, Sabeeh, Sanchez Santiuste, Natalia, Steel, Kevin E., Bingham, Scott, Mikolich, J. Ronald, Arai, Andrew E., Bandettini, W. Patricia, Patel, Amit R., Shanbhag, Sujata M., Farzaneh-Far, Afshin, Heitner, John F., Shenoy, Chetan, Leung, Steve W., Gonzalez, Jorge A., Raman, Subha V., Ferrari, Victor A., Shah, Dipan J., Schulz-Menger, Jeanette, Stuber, Matthias, Simonetti, Orlando P., and Kwong, Raymond Y.

Published
2024
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19. SCMR expert consensus statement for cardiovascular magnetic resonance of patients with a cardiac implantable electronic device

Author

Kim, Daniel, Collins, Jeremy D., White, James A., Hanneman, Kate, Lee, Daniel C., Patel, Amit R., Hu, Peng, Litt, Harold, Weinsaft, Jonathan W., Davids, Rachel, Mukai, Kanae, Ng, Ming-Yen, Luetkens, Julian A., Roguin, Ariel, Rochitte, Carlos E., Woodard, Pamela K., Manisty, Charlotte, Zareba, Karolina M., Mont, Lluis, Bogun, Frank, Ennis, Daniel B., Nazarian, Saman, Webster, Gregory, and Stojanovska, Jadranka

Published
2024
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21. Prevalence of newly diagnosed sarcoidosis in patients with ventricular arrhythmias: a cardiac magnetic resonance and 18F-FDG cardiac PET study

Author

Kebed, Kalie Y, Carter, Spencer V, Flatley, Erin, Ward, R Parker, Moss, Joshua D, Appelbaum, Daniel E, Singh, Amita, Lang, Roberto M, Tung, Roderick, and Patel, Amit R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Cardiovascular, Heart Disease, Biomedical Imaging, Heart Disease - Coronary Heart Disease, Clinical Research, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Aged, Cardiomyopathies, Female, Fluorodeoxyglucose F18, Humans, Magnetic Resonance Imaging, Cine, Male, Middle Aged, Positron-Emission Tomography, Predictive Value of Tests, Prevalence, Radiopharmaceuticals, Retrospective Studies, Sarcoidosis, Tachycardia, Ventricular, Cardiac sarcoidosis, Late gadolinium enhancement, 18F-fluorodeoxyglucose, Cardiac positron emission tomography, Ventricular tachycardia, Cardiorespiratory Medicine and Haematology, Nuclear Medicine & Medical Imaging, Cardiovascular medicine and haematology
Abstract

Cardiac sarcoidosis (CS) is known to be associated with ventricular tachycardia (VT); however, most investigations to date have focused on patients with known extra-cardiac sarcoidosis. The presence of CS is typically evaluated using 18F-fluorodeoxyglucose (18F-FDG) uptake on cardiac positron emission tomography (PET) or late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR). In this study, we sought to determine the prevalence of primary CS and the relationship between myocardial 18F-FDG uptake and LGE in patients with VT without known sarcoidosis. We retrospectively identified 67 patients without known sarcoidosis or active ischemic heart disease (i.e. significant ischemic disease that had not been previously revascularized) referred for both CMR and PET for evaluation of VT. Standard cine- and LGE- CMR and cardiac PET protocols were used. Myocardial LGE was defined as signal intensity > 5 SDs above the mean signal intensity of normal myocardium. Cardiac PET images were considered positive if there was focal myocardial 18F-FDG uptake having greater activity than the left ventricular blood pool. 45 patients (67%) had LGE, while only 4 (6%) had myocardial FDG uptake. Nine percent of patients with LGE had FDG-uptake while none without LGE did, and 10% of the cohort had indeterminate FDG uptake presumably from poor dietary preparation. Of those with both FDG uptake and LGE, 3/4 ultimately received a clinical diagnosis of CS. 4.5% of patients without previously known sarcoidosis or active ischemic heart disease presenting with VT have newly diagnosed CS. Detection of CS can be increased using a CMR first approach followed by cardiac PET for patients with non-ischemic LGE.

Published
2021

23. Preservation of Circumferential and Radial Left Ventricular Function as a Mitigating Mechanism for Impaired Longitudinal Strain in Early Cardiac Amyloidosis

Author

Slivnick, Jeremy A., Singulane, Cristiane, Sun, Deyu, Eshun, Derek, Narang, Akhil, Mazzone, Steven, Addetia, Karima, Patel, Amit R., Zareba, Karolina M., Smart, Suzanne, Kwon, Jung Woo, Husain, Aliya, Cody, Brittany, Scheetz, Seth, Asch, Federico M., Goyal, Akash, Sarswat, Nitasha, Mor-Avi, Victor, and Lang, Roberto M.

Published
2023
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24. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines

Author

Virani, Salim S., Newby, L. Kristin, Arnold, Suzanne V., Bittner, Vera, Brewer, LaPrincess C., Demeter, Susan Halli, Dixon, Dave L., Fearon, William F., Hess, Beverly, Johnson, Heather M., Kazi, Dhruv S., Kolte, Dhaval, Kumbhani, Dharam J., LoFaso, Jim, Mahtta, Dhruv, Mark, Daniel B., Minissian, Margo, Navar, Ann Marie, Patel, Amit R., Piano, Mariann R., Rodriguez, Fatima, Talbot, Amy W., Taqueti, Viviany R., Thomas, Randal J., van Diepen, Sean, Wiggins, Barbara, and Williams, Marlene S.

Published
2023
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26. Abstract 16882: Comparison of Regadenoson and Adenosine in First Pass Quantitative Perfusion Cardiovascular Magnetic Resonance in Subjects With Suspected Coronary Microvascular Disease

Author

Rodriguez-Lozano, Patricia, Wang, Shuo, Wang, Haonan, Ng, Ming-Yen, Kim, Paul, Singh, Amita, Mushtaq, Saima, Tsun Hei, Sin, Tada, Yuko, Hillier, Elizabeth, Mariager, Christian Østergaard, Salerno, Michael, Pontone, Gianluca, Urmeneta, Javier, Saeed, Ibrahim M, Patel, Hena, Madsen, Simon, Martinez, Vicente, Maceira, Alicia, Monmeneu, Jose, Pazhenkottil, Aju P, Benovoy, Mitchel, Amir-Khalili, Alborz, Janich, Martin A, Arai, Andrew E, Friedrich, Matthias G, and Patel, Amit R

Published
2023
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27. Abstract 16817: Comparison of Diagnostic Performance of Quantitative Perfusion Stress Myocardial Perfusion Imaging With Cardiac Magnetic Resonance Between Different Vasodilators

Author

Rodriguez-Lozano, Patricia, Wang, Shuo, Wang, Haonan, Ng, Ming-Yen, Kim, Paul, Singh, Amita, Mushtaq, Saima, Tsun Hei, Sin, Tada, Yuko, Hillier, Elizabeth, Østergaard Mariager, Christian, Salerno, Michael, Pontone, Gianluca, Urmeneta, Javier, Saeed, Ibrahim M, Patel, Hena, Martinez, Vicente, Maceira, Alicia, Monmeneu, Jose, Pazhenkottil, Aju P, Benovoy, Mitchel, Amir-Khalili, Alborz, Janich, Martin A, Arai, Andrew E, Friedrich, Matthias G, and Patel, Amit R

Published
2023
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29. Sex-Specific Stress Perfusion Cardiac Magnetic Resonance Imaging in Suspected Ischemic Heart Disease: Insights From SPINS Retrospective Registry

Author

Heydari, Bobak, Ge, Yin, Antiochos, Panagiotis, Islam, Sabeeh, Steel, Kevin, Bingham, Scott, Abdullah, Shuaib, Mikolich, J. Ronald, Arai, Andrew E., Bandettini, W. Patricia, Patel, Amit R., Shanbhag, Sujata M., Farzaneh-Far, Afshin, Heitner, John F., Shenoy, Chetan, Leung, Steve W., Gonzalez, Jorge A., Raman, Subha V., Ferrari, Victor A., Shah, Dipan J., Schulz-Menger, Jeanette, Stuber, Matthias, Simonetti, Orlando P., and Kwong, Raymond Y.

Published
2023
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30. Myocardial Injury on CMR in Patients With COVID-19 and Suspected Cardiac Involvement

Author

Vidula, Mahesh K., Rajewska-Tabor, Justyna, Cao, J. Jane, Kang, Yu, Craft, Jason, Mei, Winifred, Chandrasekaran, Preethi S., Clark, Daniel E., Poenar, Ana-Maria, Gorecka, Miroslawa, Malahfji, Maan, Cowan, Eilidh, Kwan, Jennifer M., Reinhardt, Samuel W., Al-Tabatabaee, Sarah, Doeblin, Patrick, Villa, Adriana D.M., Karagodin, Ilya, Alvi, Nazia, Christia, Panagiota, Spetko, Nicholas, Cassar, Mark Philip, Park, Christine, Nambiar, Lakshmi, Turgut, Alper, Azad, Mahan Roosta, Lambers, Moritz, Wong, Timothy C., Salerno, Michael, Kim, Jiwon, Elliott, Michael, Raman, Betty, Neubauer, Stefan, Tsao, Connie W., LaRocca, Gina, Patel, Amit R., Chiribiri, Amedeo, Kelle, Sebastian, Baldassarre, Lauren A., Shah, Dipan J., Hughes, Sean G., Tong, Matthew S., Pyda, Malgorzata, Simonetti, Orlando P., Plein, Sven, and Han, Yuchi

Published
2023
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32. A Description and Safety Overview of Irreversible Electroporation for Prostate Tissue Ablation in Intermediate-Risk Prostate Cancer Patients: Preliminary Results from the PRESERVE Trial

Author

George, Arvin K., primary, Miocinovic, Ranko, additional, Patel, Amit R., additional, Lomas, Derek J., additional, Correa, Andres F., additional, Chen, David Y. T., additional, Rastinehad, Ardeshir R., additional, Schwartz, Michael J., additional, Uchio, Edward M., additional, Sidana, Abhinav, additional, Helfand, Brian T., additional, Gahan, Jeffrey C., additional, Yu, Alice, additional, Vourganti, Srinivas, additional, Barqawi, Al Baha, additional, Brisbane, Wayne G., additional, Wysock, James S., additional, Polascik, Thomas J., additional, McClure, Timothy D., additional, and Coleman, Jonathan A., additional

Published
2024
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41. Prognostic Value of Stress Cardiac Magnetic Resonance in Patients With Known Coronary Artery Disease

Author

Antiochos, Panagiotis, Ge, Yin, Heydari, Bobak, Steel, Kevin, Bingham, Scott, Abdullah, Shuaib M., Mikolich, J. Ronald, Arai, Andrew E., Bandettini, W. Patricia, Patel, Amit R., Farzaneh-Far, Afshin, Heitner, John F., Shenoy, Chetan, Leung, Steve W., Gonzalez, Jorge A., Shah, Dipan J., Raman, Subha V., Ferrari, Victor A., Schulz-Menger, Jeanette, Stuber, Matthias, Simonetti, Orlando P., and Kwong, Raymond Y.

Published
2022
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44. Abstract 14447: Multi-Center Evaluation of Stress Myocardial Blood Flow by Cardiac Magnetic Resonance in Known and Suspected Ischemic Heart Disease: Preliminary Findings From the AQUA-MBF Initiative

Author

Wang, Shuo, Wang, Haonan, Benovoy, Mitchel, Ng, Ming-Yen, Kim, Paul, Singh, Amita, Patel, Hena, Saeed, Ibrahim, Pontone, Gianluca, Mushtaq, Saima, Urmeneta, Javier, Hillier, Elizabeth, Gormsen, Lars C, Laustsen, Christoffer, Janich, Martin A, Salerno, Michael, Hirsch, Alexander, Lubberink, Mark, Maceira, Alicia, Monmeneu, Jose, Pazhenkottil, Aju P, Nagpal, Prashant, Friedrich, Silke, Gutbrod, Joseph, Flournoy, Caroline, Tada, Yuko, Tsun Hei, Sin, Fong, Ambrose Ho Tung, Cheng, Ka Man Carmen, Goh, Victor K, Madsen, Simon, Arai, Andrew E, Friedrich, Matthias G, and Patel, Amit R

Published
2022
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