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43 results on '"Amir-Khalili, Alborz"'

1. Automatic Landing Zone Plane Detection in Contrast-Enhanced Cardiac CT Volumes

Author

Lockhart, Lisette, Yi, Xin, Cassady, Nathan, Nunn, Alexandra, Swingen, Cory, Amir-Khalili, Alborz, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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4. 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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5. 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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9. Myocardial Strain Predicts Cardiovascular Morbidity and Death: A UK Biobank Cardiovascular Magnetic Resonance Study

Author

Chadalavada, Sucharitha, primary, Fung, Kenneth, additional, Rauseo, Elisa, additional, Lee, Aaron, additional, Amir-Khalili, Alborz, additional, Paiva, Jose, additional, Naderi, Hafiz, additional, Banik, Shantanu, additional, Chirvasa, Mihaela, additional, Jensen, Magnus, additional, Aung, Nay, additional, and Petersen, Steffen, additional

Published
2024
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10. Diagnostic Accuracy of Global Stress Myocardial Blood Flow for the Detection of Obstructive Coronary Artery Disease: findings FBom the AQUA-MBF Study

Author

Wang, Shuo, primary, Kim, Paul, additional, Wang, Haonan, additional, Ng, Ming-Yen, additional, Singh, Amita, additional, Mushtaq, Saima, additional, Sin, Jason, additional, Tada, Yuko, additional, Hillier, Elizabeth, additional, Salerno, Michael, additional, Pontone, Gianluca, additional, Urmeneta, Javier, additional, Saeed, Ibrahim, additional, Patel, Hena, additional, Mariager, Christian Østergaard, additional, Goh, Victor, additional, Madsen, Simon, additional, Krishnam, Mayil Singram, additional, Martinez, Vicente, additional, Maceira, Alicia, additional, Menadas, José Vicente Monmeneu, additional, Pazhenkottil, Aju, additional, Amir-Khalili, Alborz, additional, Jin, Ruyun, additional, Benovoy, Mitchel, additional, Janich, Martin, additional, Arai, Andrew E, additional, Friedrich, Matthias Gero, additional, and Patel, Amit, additional

Published
2024
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11. Recovering Missing Connections in Diffusion Weighted MRI Using Matrix Completion

Author

Wang, Chendi, Ng, Bernard, Amir-Khalili, Alborz, Abugharbieh, Rafeef, Hege, Hans-Christian, Series Editor, Hoffman, David, Series Editor, Johnson, Christopher R., Series Editor, Polthier, Konrad, Series Editor, Rumpf, Martin, Series Editor, Kaden, Enrico, editor, Grussu, Francesco, editor, Ning, Lipeng, editor, Tax, Chantal M. W., editor, and Veraart, Jelle, editor

Published
2018
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12. Collage CNN for Renal Cell Carcinoma Detection from CT

Author

Hussain, Mohammad Arafat, Amir-Khalili, Alborz, Hamarneh, Ghassan, Abugharbieh, Rafeef, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wang, Qian, editor, Shi, Yinghuan, editor, Suk, Heung-Il, editor, and Suzuki, Kenji, editor

Published
2017
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13. Scalable and Fault Tolerant Platform for Distributed Learning on Private Medical Data

Author

Amir-Khalili, Alborz, Kianzad, Soheil, Abugharbieh, Rafeef, Beschastnikh, Ivan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wang, Qian, editor, Shi, Yinghuan, editor, Suk, Heung-Il, editor, and Suzuki, Kenji, editor

Published
2017
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14. Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs

Author

Hussain, Mohammad Arafat, Amir-Khalili, Alborz, Hamarneh, Ghassan, Abugharbieh, Rafeef, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Descoteaux, Maxime, editor, Maier-Hein, Lena, editor, Franz, Alfred, editor, Jannin, Pierre, editor, Collins, D. Louis, editor, and Duchesne, Simon, editor

Published
2017
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16. Kiosk 9R-FB-03 - Diagnostic Accuracy of Global Stress Myocardial Blood Flow for the Detection of Obstructive Coronary Artery Disease: findings FBom the AQUA-MBF Study

Author

Wang, Shuo, Kim, Paul, Wang, Haonan, Ng, Ming-Yen, Singh, Amita, Mushtaq, Saima, Sin, Jason, Tada, Yuko, Hillier, Elizabeth, Salerno, Michael, Pontone, Gianluca, Urmeneta, Javier, Saeed, Ibrahim, Patel, Hena, Mariager, Christian Østergaard, Goh, Victor, Madsen, Simon, Krishnam, Mayil Singram, Martinez, Vicente, Maceira, Alicia, Menadas, José Vicente Monmeneu, Pazhenkottil, Aju, Amir-Khalili, Alborz, Jin, Ruyun, Benovoy, Mitchel, Janich, Martin, Arai, Andrew E, Friedrich, Matthias Gero, and Patel, Amit

Published
2024
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19. Automatic Vessel Segmentation from Pulsatile Radial Distension

Author

Amir-Khalili, Alborz, Hamarneh, Ghassan, Abugharbieh, Rafeef, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Navab, Nassir, editor, Hornegger, Joachim, editor, Wells, William M., editor, and Frangi, Alejandro F., editor

Published
2015
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20. Auto Localization and Segmentation of Occluded Vessels in Robot-Assisted Partial Nephrectomy

Author

Amir-Khalili, Alborz, Peyrat, Jean-Marc, Abinahed, Julien, Al-Alao, Osama, Al-Ansari, Abdulla, Hamarneh, Ghassan, Abugharbieh, Rafeef, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Golland, Polina, editor, Hata, Nobuhiko, editor, Barillot, Christian, editor, Hornegger, Joachim, editor, and Howe, Robert, editor

Published
2014
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23. 3D Surface Reconstruction of Organs Using Patient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery

Author

Amir-Khalili, Alborz, Peyrat, Jean-Marc, Hamarneh, Ghassan, Abugharbieh, Rafeef, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yoshida, Hiroyuki, editor, Warfield, Simon, editor, and Vannier, Michael W., editor

Published
2013
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24. Uncertainty-Encoded Augmented Reality for Robot-Assisted Partial Nephrectomy: A Phantom Study

Author

Amir-Khalili, Alborz, Nosrati, Masoud S., Peyrat, Jean-Marc, Hamarneh, Ghassan, Abugharbieh, Rafeef, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Liao, Hongen, editor, Linte, Cristian A., editor, Masamune, Ken, editor, Peters, Terry M., editor, and Zheng, Guoyan, editor

Published
2013
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30. Predicting post-contrast information from contrast agent free cardiac MRI using machine learning: Challenges and methods

Author

Abdulkareem, Musa, primary, Kenawy, Asmaa A., additional, Rauseo, Elisa, additional, Lee, Aaron M., additional, Sojoudi, Alireza, additional, Amir-Khalili, Alborz, additional, Lekadir, Karim, additional, Young, Alistair A., additional, Barnes, Michael R., additional, Barckow, Philipp, additional, Khanji, Mohammed Y., additional, Aung, Nay, additional, and Petersen, Steffen E., additional

Published
2022
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31. INTER-VENDOR REPRODUCIBILITY OF ABSOLUTE MYOCARDIAL BLOOD FLOW QUANTIFICATION USING STRESS CARDIAC MAGNETIC RESONANCE

Author

Patil, Pooja, Wang, Shuo, Ng, Ming-Yen, Kim, Paul Jaegu, Wang, Haonan, Singh, Amita, Hillier, Elizabeth, Sin, Tsun Hei, Tada, Yuko, Mariager, Christian Østergaard, Ulloa, Javier Urmeneta, Patel, Hena, Madsen, Simon, Saeed, Ibrahim Muhammad, Salerno, Michael, Amir-Khalili, Alborz, Janich, Martin, Arai, Andrew E., Bowen, Kimberli, Friedrich, Matthias Gero, and Patel, Amit R.

Published
2024
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32. A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms

Author

Rauseo, Elisa, primary, Omer, Muhammad, additional, Amir-Khalili, Alborz, additional, Sojoudi, Alireza, additional, Le, Thu-Thao, additional, Cook, Stuart Alexander, additional, Hausenloy, Derek John, additional, Ang, Briana, additional, Toh, Desiree-Faye, additional, Bryant, Jennifer, additional, Chin, Calvin Woon Loong, additional, Paiva, Jose Miguel, additional, Fung, Kenneth, additional, Cooper, Jackie, additional, Khanji, Mohammed Yunus, additional, Aung, Nay, additional, and Petersen, Steffen Erhard, additional

Published
2022
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37. Towards automated dynamic scene analysis and augmentation during image-guided radiological and surgical interventions

Author

Amir-Khalili, Alborz

Abstract

This thesis proposes non-invasive automated scene analysis and augmentation techniques to improve navigation in image-guided therapy (IGT) applications. IGT refers to procedures in which physicians rely on medical images to plan, perform, and monitor an intervention. In IGT, the tomographic images acquired before the intervention may not directly correspond to what the physician sees via the intraoperative imaging. This is due to many factors such as: time-varying changes in the patient's anatomy (e.g., patient positioning or changes in pathology), risk of overexposure to ionizing radiation (restricted use of X-ray imaging), operational costs, and differences in imaging modalities. This inconsistency often results in a navigational problem that demands substantial additional effort from the physician to piece together a mental representation of complex correspondences between the preoperative images and the intraoperative scene. The first direction explored in this thesis, investigates the application of image-based motion analysis techniques for vessel segmentation. Specifically, we propose novel motion-based segmentation methods to enable safe, fast, and automatic localization of vascular structures from dynamic medical image sequences and demonstrated their efficacy in segmenting vasculature from surgical video and dynamic medical ultrasound sequences. The second direction investigates ways in which navigation uncertainties can be computed, propagated, and visualized in the context of IGT navigation systems that target deformable soft-tissues. Specifically, we present an uncertainty-encoded scene augmentation method for robot-assisted laparoscopic surgery, in which we propose visualization techniques for presenting probabilistic tumor margins. We further present a computationally efficient framework to estimate the uncertainty in deformable image registration and to subsequently propagate the effects of the computed uncertainties through to the visualizations, organ segmentations, and dosimetric evaluations performed in the context of fractionated image-guided brachytherapy. Our contributions constitute a step towards automated and real-time IGT navigation and may, in the near future, help to improve interventional outcomes for patients (improved targeting of pathologies) and increase surgical efficiency (less effort required by the physician).

Published
2017
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41. Myocardial Strain Measured by Cardiac Magnetic Resonance Predicts Cardiovascular Morbidity and Death.

Author

Chadalavada, Sucharitha, Fung, Kenneth, Rauseo, Elisa, Lee, Aaron M., Khanji, Mohammed Y., Amir-Khalili, Alborz, Paiva, Jose, Naderi, Hafiz, Banik, Shantanu, Chirvasa, Mihaela, Jensen, Magnus T., Aung, Nay, and Petersen, Steffen E.

Subjects
*CARDIAC magnetic resonance imaging, *HEART failure, *MYOCARDIAL infarction, *PROGNOSIS, *STROKE, CARDIOVASCULAR disease related mortality
Abstract

Myocardial strain using cardiac magnetic resonance (CMR) is a sensitive marker for predicting adverse outcomes in many cardiac disease states, but the prognostic value in the general population has not been studied conclusively. The goal of this study was to assess the independent prognostic value of CMR feature tracking (FT)—derived LV global longitudinal (GLS), circumferential (GCS), and radial strain (GRS) metrics in predicting adverse outcomes (heart failure, myocardial infarction, stroke, and death). Participants from the UK Biobank population imaging study were included. Univariable and multivariable Cox models were used for each outcome and each strain marker (GLS, GCS, GRS) separately. The multivariable models were tested with adjustment for prognostically important clinical features and conventional global LV imaging markers relevant for each outcome. Overall, 45,700 participants were included in the study (average age 65 ± 8 years), with a median follow-up period of 3 years. All univariable and multivariable models demonstrated that lower absolute GLS, GCS, and GRS were associated with increased incidence of heart failure, myocardial infarction, stroke, and death. All strain markers were independent predictors (incrementally above some respective conventional LV imaging markers) for the morbidity outcomes, but only GLS predicted death independently: (HR: 1.18; 95% CI: 1.07-1.30). In the general population, LV strain metrics derived using CMR-FT in radial, circumferential, and longitudinal directions are strongly and independently predictive of heart failure, myocardial infarction, and stroke, but only GLS is independently predictive of death in an adult population cohort. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Abstract 17157: Improving Cardiac MRI Ventricular Contouring In Tetralogy Of Fallot Using Machine Learning

Author

Mohan, Navina, Amir-Khalili, Alborz, Burkhardt, Barbara E, Abou Zahr, Riad, Jensen, Cory, Hussain, Tarique, Greil, Gerald, Sojoudi, Alireza, and Tandon, Animesh

Abstract

Introduction:Cardiac magnetic resonance imaging (CMR) evaluates ventricular volumes in tetralogy of Fallot (TOF) and is key in deciding timing of pulmonary valve replacement. However, ventricular contouring is time-consuming and has inherent intraobserver and interobserver variability. Recently, machine learning neural networks (MLNN) have been developed to automate contouring, but are mostly trained on hearts with normal morphology. These networks work best when trained on data similar to that being contoured. We evaluated whether adding TOF data to the training set would improve ventricular contouring for TOF.Hypothesis:We hypothesized that adding TOF datasets to the training set would improve TOF contouring compared to a MLNN trained only on structurally normal hearts.Methods:The initial MLNN was trained on short axis cine CMR scans of morphologically normal hearts from the UK Biobank, and patients with dilated and hypertrophic cardiomyopathies and myocardial infarction. Left ventricular (LV) epicardial and endocardial borders, and right ventricular (RV) endocardial borders, at end systole (ES) and diastole (ED), were manually contoured by experts for both training and TOF CMRs. Agreement between gold standard manual and MLNN contours was evaluated using Dice similarity coefficient (DSC); DSC=1 is perfect overlap and DSC=0 is no overlap. Wilcoxon rank sum tests were used with p<0.05 being considered significant. The MLNN was retrained using TOF datasets and then the original TOF datasets were recontoured.Results:26 patients were included. Initially, the median DSC comparing MLNN and manual TOF contours ranged from 0.807-0.901. When the MLNN was retrained using TOF cases, the DSC improved significantly for all contours to 0.862-0.940 (p<0.001 for all 6 comparisons, Figure 1).Conclusions:MLNN can be improved for use in congenital heart disease by adding appropriate training datasets. Further generalization of the MLNN will be investigated.

Published
2019
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43. Myocardial Blood Flow Quantification Using Stress Cardiac Magnetic Resonance Improves Detection of Coronary Artery Disease.

Author

Wang S, Kim P, Wang H, Ng MY, Arai AE, Singh A, Mushtaq S, Sin TH, Tada Y, Hillier E, Jin R, Mariager CØ, Salerno M, Pontone G, Urmeneta Ulloa J, Saeed IM, Patel H, Goh V, Madsen S, Kim WY, Singram Krishnam M, Martínez de Vega V, Maceira AM, Monmeneu JV, Pazhenkottil AP, Amir-Khalili A, Benovoy M, Friedrich S, Janich MA, Friedrich MG, and Patel AR

Abstract

Background: Myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) using stress cardiovascular magnetic resonance (CMR) have been shown to identify epicardial coronary artery disease. However, comparative analysis between quantitative perfusion and conventional qualitative assessment (QA) remains limited., Objectives: The aim of this multicenter study was to test the hypothesis that quantitative stress MBF (sMBF) and MPR analysis can identify obstructive coronary artery disease (obCAD) with comparable performance as QA of stress CMR performed by experienced physicians in interpretation., Methods: The analysis included 127 individuals (mean age 62 ± 16 years, 84 men [67%]) who underwent stress CMR. obCAD was defined as the presence of stenosis ≥50% in the left main coronary artery or ≥70% in a major vessel. Each patient, coronary territory, and myocardial segment was categorized as having either obCAD or no obCAD (noCAD). Global, per coronary territory, and segmental MBF and MPR values were calculated. QA was performed by 4 CMR experts., Results: At the patient level, global sMBF and MPR were significantly lower in subjects with obCAD than in those with noCAD, with median values of sMBF of 1.5 mL/g/min (Q1-Q3: 1.2-1.8 mL/g/min) vs 2.4 mL/g/min (Q1-Q3: 2.1-2.7 mL/g/min) (P < 0.001) and median values of MPR of 1.3 (Q1-Q3: 1.0-1.6) vs 2.1 (Q1-Q3: 1.6-2.7) (P < 0.001). At the coronary artery level, sMBF and MPR were also significantly lower in vessels with obCAD compared with those with noCAD. Global sMBF and MPR had areas under the curve (AUCs) of 0.90 (95% CI: 0.84-0.96) and 0.86 (95% CI: 0.80-0.93). The AUCs for QA by 4 physicians ranged between 0.69 and 0.88. The AUC for global sMBF and MPR was significantly better than the average AUC for QA., Conclusions: This study demonstrates that sMBF and MPR using dual-sequence stress CMR can identify obCAD more accurately than qualitative analysis by experienced CMR readers., Competing Interests: Funding Support and Author Disclosures Dr Ng has received educational funding from GE HealthCare, Bayer, Lode, TeraRecon, and Circle CVI; and is on the Speakers’ Bureau for Circle CVI, GE HealthCare, Bayer, and Boehringer Ingelheim. Dr Singh has received a startup grant from the Society for Cardiovascular Magnetic Resonance that helped fund an early phase of this study. Dr Pazhenkottil has received research funding from the Swiss Heart Foundation. Dr A.R. Patel has received research funding from GE HealthCare; and has received research support from Circle Cardiovascular Imaging, NeoSOFT, and Siemens Healthineers. Dr H. Patel has received funding from a T32 Cardiovascular Sciences Training Grant (5T32HL7381). Drs Wang and Janich are employees of GE HealthCare. Dr Amir-Khalili is an employee of Circle CVI. Dr Benovoy is a former employee of Circle CVI. Dr Friedrich is a shareholder and consultant of Area19 Medical and Circle CVI. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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