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个人简介
The research of Armando Manduca, Ph.D., focuses on the application of mathematical methods to biomedical problems, particularly imaging problems. His research has involved all aspects of medical imaging, from image reconstruction to image processing and analysis, and has spanned many modalities. Some current efforts focus on novel image reconstruction methods in MRI, to accelerate image acquisition and improve image quality; image denoising in computerized tomography (CT), to aid in the interpretation of clinical scans acquired with lower radiation dose; and processing algorithms for magnetic resonance elastography and ultrasound elastography, to image the viscoelastic properties of tissues.
Focus areas
Magnetic resonance and ultrasound elastography. These techniques can directly image propagating acoustic waves in tissues and use this information to make images that depict viscoelastic properties. Tissue stiffness can be an important indicator of health or pathology (which is why doctors palpate), and numerous applications are under investigation, including in the liver, brain, lung and heart.
Noise reduction in CT. Dr. Manduca works to develop algorithms that can reduce noise in computerized tomography images, using only information in the image to calculate and adapt to the local noise level. This improves image quality and allows the acquisition of images with lower radiation dose to the patient while maintaining diagnostic accuracy.
Novel MRI reconstruction methods. An additional area of focus includes novel reconstruction techniques that can improve the image quality of many types of MRI scans, allow for faster acquisitions with no loss in image quality, or both. Dr. Manduca is also investigating techniques for more accurate determination of quantitative MRI parameters such as flow, diffusion, perfusion and fat-to-water concentrations.
His research interests are in image processing algorithms, and recent work has focused on the development of MR elastography data analysis algorithms and compressed sensing algorithms for the reconstruction of highly undersampled MR and CT data.
Focus areas
Magnetic resonance and ultrasound elastography. These techniques can directly image propagating acoustic waves in tissues and use this information to make images that depict viscoelastic properties. Tissue stiffness can be an important indicator of health or pathology (which is why doctors palpate), and numerous applications are under investigation, including in the liver, brain, lung and heart.
Noise reduction in CT. Dr. Manduca works to develop algorithms that can reduce noise in computerized tomography images, using only information in the image to calculate and adapt to the local noise level. This improves image quality and allows the acquisition of images with lower radiation dose to the patient while maintaining diagnostic accuracy.
Novel MRI reconstruction methods. An additional area of focus includes novel reconstruction techniques that can improve the image quality of many types of MRI scans, allow for faster acquisitions with no loss in image quality, or both. Dr. Manduca is also investigating techniques for more accurate determination of quantitative MRI parameters such as flow, diffusion, perfusion and fat-to-water concentrations.
His research interests are in image processing algorithms, and recent work has focused on the development of MR elastography data analysis algorithms and compressed sensing algorithms for the reconstruction of highly undersampled MR and CT data.
研究兴趣
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KowsalyaDevi Pavuluri,John Huston,Richard L. Ehman,Armando Manduca,Clifford R. Jack,Matthew L. Senjem,Prashanthi Vemuri,Matthew C. Murphy
BRAIN COMMUNICATIONSno. 2 (2024): fcae073-fcae073
Yuan Le,Jun Chen,Phillip J. Rossman, Bradley Bolster Jr, Stephan Kannengiesser,Armando Manduca,Kevin J. Glaser,Yi Sui,John Huston III,Ziying Yin,Richard L. Ehman
MAGNETIC RESONANCE IN MEDICINEno. 5 (2024): 1923-1935
Harish R. Palnitkar,Matthew C. Murphy,Yi Sui,Kevin J. Glaser,Armando Manduca,Kirk M. Welker,Norbert Campeau, John Huston III,Richard L. Ehman,Arvin Arani
Imaging Neuroscience (2024)
Emi Hojo,Yi Sui, Xiang Shan, Keni Zheng,Phillip Rossman,Armando Manduca, Garret M. Powell, Kai-Nan An,Kristin D. Zhao, Brent A. Bauer,Richard L. Ehman,Ziying Yin
MAGNETIC RESONANCE IN MEDICINE (2024)
Radiology. Cardiothoracic imagingno. 3 (2024): e230140-e230140
Xiang Shan,Matthew C. Murphy,Yi Sui,Emanuele Camerucci, Keni Zheng,Armando Manduca,Richard L. Ehman,John Huston,Ziying Yin
Journal of neurotraumano. 19-20 (2023): 2193-2204
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