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Alejandro Sisniega-Crespo is a research associate in the Department of Biomedical Engineering, working in the Imaging for Surgery, Therapy, and Radiology Laboratory (I-STAR).
His research background builds on the design of multimodality high-resolution imaging systems for small animal imaging (PET-CT, SPECT-CT, and FDOT-CT), for which he played a significant role in the design, development, and optimization of the high-resolution Cone-Beam CT (CBCT) component of the imaging system. Sisniega-Crespo’s expertise includes system design and characterization through analytical modeling and Monte Carlo simulation techniques using GPU-based parallelization, and algorithm design for CBCT image processing, artifact compensation, and 3D model-based image reconstruction.
His current work is focused on the improvement of image quality in cone-beam CT through algorithmic approaches for:
high-fidelity, high-speed, artifact correction,
volumetric image reconstruction methods for mitigation of noise and sparse sampling effects, and
acceleration of optimization methods to bring advanced model-based iterative reconstruction to runtimes acceptable for clinical practice.
This work comprises comprehensive artifact correction methods in soft-tissue CBCT (with application to brain imaging in traumatic brain injury scenarios), including compensation of detector non-idealities, model-based beam-hardening correction, and high-fidelity, high-speed Monte Carlo scatter correction, leveraging variance reduction and GPU parallelization to achieve competitive runtime in clinical scenarios. His last research investigated approaches for purely image-based patient motion compensation in dedicated CBCT of the extremities (undergoing rigid motion) and in more challenging scenarios involving automatic compensation of deformable motion in soft-tissue CBCT.
His research background builds on the design of multimodality high-resolution imaging systems for small animal imaging (PET-CT, SPECT-CT, and FDOT-CT), for which he played a significant role in the design, development, and optimization of the high-resolution Cone-Beam CT (CBCT) component of the imaging system. Sisniega-Crespo’s expertise includes system design and characterization through analytical modeling and Monte Carlo simulation techniques using GPU-based parallelization, and algorithm design for CBCT image processing, artifact compensation, and 3D model-based image reconstruction.
His current work is focused on the improvement of image quality in cone-beam CT through algorithmic approaches for:
high-fidelity, high-speed, artifact correction,
volumetric image reconstruction methods for mitigation of noise and sparse sampling effects, and
acceleration of optimization methods to bring advanced model-based iterative reconstruction to runtimes acceptable for clinical practice.
This work comprises comprehensive artifact correction methods in soft-tissue CBCT (with application to brain imaging in traumatic brain injury scenarios), including compensation of detector non-idealities, model-based beam-hardening correction, and high-fidelity, high-speed Monte Carlo scatter correction, leveraging variance reduction and GPU parallelization to achieve competitive runtime in clinical scenarios. His last research investigated approaches for purely image-based patient motion compensation in dedicated CBCT of the extremities (undergoing rigid motion) and in more challenging scenarios involving automatic compensation of deformable motion in soft-tissue CBCT.
Research Interests
Papers共 123 篇Author StatisticsCo-AuthorSimilar Experts
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Medical Imaging 2024: Physics of Medical Imaging (2024)
Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling (2024)
Alexander Lu, Alejandro L. Montes,Lonny Yarmus,Jeffrey Thiboutot,Ali Uneri,Jeffrey H. Siewerdsen,Wojciech Zbijewski,Alejandro Sisniega
Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling (2024)
MEDICAL PHYSICSno. 6 (2024): 4158-4180
Alejandro Lopez-Montes, Thomas McSkimming, Anthony Skeats, Chris Delnooz, Brian Gonzales,Wojciech Zbijewski,Alejandro Sisniega
arxiv(2024)
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MEDICAL IMAGING 2024: PHYSICS OF MEDICAL IMAGING, PT 1 (2024)
Medical Image Analysis (2024): 103254-103254
Medical physicsno. 5 (2023): 2607-2624
INTERNATIONAL JOURNAL OF STROKEno. 2 (2023): 30-31
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Author Statistics
#Papers: 126
#Citation: 1365
H-Index: 22
G-Index: 33
Sociability: 6
Diversity: 2
Activity: 14
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