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个人简介
The main focus of my research is to develop novel acquisition and reconstruction techniques for magnetic resonance imaging (MRI), which have a direct impact in the clinical environment. I believe this translational MR physics is of great clinical importance; helping to enhance the accuracy, efficiency and effectiveness of healthcare through technological advances.
One of my primary aims is to reduce the need for patient cooperation and to lower scan times, particularly in children. This makes CMR more accessible, allowing improvements in scan efficiency and ultimately reduces waiting times for patients. This challenging area of MR physics requires specialist acquisition and reconstruction techniques. My research to-date has transformed the clinical service at Great Ormond Street Hospital, by enabling quick scans; significantly improving patient throughput, with no additional cost. These techniques are also being tested in other UCLP clinical departments, including the Heart Hospital and UCLH.
I have vast experience in non-Cartesian MRI acquisition techniques, and a variety of reconstruction technologies, including parallel imaging, compressive sensing and machine learning. These enable highly accelerated imaging, with accurate reconstructions.
One of my primary aims is to reduce the need for patient cooperation and to lower scan times, particularly in children. This makes CMR more accessible, allowing improvements in scan efficiency and ultimately reduces waiting times for patients. This challenging area of MR physics requires specialist acquisition and reconstruction techniques. My research to-date has transformed the clinical service at Great Ormond Street Hospital, by enabling quick scans; significantly improving patient throughput, with no additional cost. These techniques are also being tested in other UCLP clinical departments, including the Heart Hospital and UCLH.
I have vast experience in non-Cartesian MRI acquisition techniques, and a variety of reconstruction technologies, including parallel imaging, compressive sensing and machine learning. These enable highly accelerated imaging, with accurate reconstructions.
研究兴趣
论文共 105 篇作者统计合作学者相似作者
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Tina Yao,Nicole St Clair, Gabriel F Miller,Adam L Dorfman,Mark A Fogel,Sunil Ghelani,Rajesh Krishnamurthy, Christopher Z Lam,Michael Quail,Joshua D Robinson,David Schidlow,Timothy C Slesnick,
Radiologyno. 1 (2024): e230132-e230132
Rebecca R Baker,Vivek Muthurangu, Marilena Rega,Javier Montalt-Tordera, Samuel Rot,Bhavana S Solanky,Claudia A M Gandini Wheeler-Kingshott, Stephen B Walsh,Jennifer A Steeden
Magnetic resonance in medicineno. 1 (2023): 325-336
Olivier Jaubert, Michele Pascale,Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite,Daniel Knight,Simon R. Arridge,Jennifer Anne Steeden,Vivek Muthurangu
CoRR (2023)
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Magnetic resonance in medicineno. 1 (2023): 266-279
Tina Yao,Nicole St. Clair, Gabriel F. Miller,Adam L. Dorfman, Mark A. Fogel,Sunil Ghelani,Rajesh Krishnamurthy,Christopher Z. Lam,Joshua D. Robinson, David Schidlow, Timothy C. Slesnick, Justin Weigand,
arxiv(2023)
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