Tomographic Imaging with Gamma Rays in the Operating Room
Event details
| Date | 18.09.2014 |
| Hour | 13:15 |
| Speaker | Tobias Lasser, Ph.D., Technical University Munich (D) |
| Location | |
| Category | Conferences - Seminars |
BIOENGINEERING SEMINAR
Abstract:
The introduction of medical imaging methods like computer tomography (CT) several decades ago has revolutionized the field of medical diagnostics. Tomographic imaging methods like CT, Single Photon Emission Computed Tomography (SPECT) and Magnetic Resonance Imaging (MRI) are now standard of care in most clinics.
Translating these diagnostic imaging modalities into therapy, for example during surgery, poses several challenges. Due to the strict requirements of the operating room (access to the patient, time and sterility constraints), the data acquired is extremely sparse and irregular. In the context of intra-operative gamma ray imaging, we demonstrate an approach using robot-mounted mini gamma cameras. In particular, we generate intelligent detector trajectories through an optimization procedure based on the singular value spectrum of the acquisition geometry, and process the resulting sparse data using iterative statistical tomographic reconstruction and appropriate detector models.
Bio:
Tobias Lasser is currently scientific staff at the Chair for Computer Aided Medical Procedures at the Faculty of Informatics at Technische Universität München in Munich, Germany. He studied Mathematics and Informatics at the Technische Universität München in Munich, Germany. After spending a year in 2005/2006 working on optical tomography at Harvard University in Boston, USA, he finished his Ph.D. in 2011 at Technische Universität München on the topics of optical and intra-operative nuclear tomographic imaging. Since then he has been working on advanced reconstruction methods in the context of X-ray and Gamma ray tomographic imaging modalities.
Abstract:
The introduction of medical imaging methods like computer tomography (CT) several decades ago has revolutionized the field of medical diagnostics. Tomographic imaging methods like CT, Single Photon Emission Computed Tomography (SPECT) and Magnetic Resonance Imaging (MRI) are now standard of care in most clinics.
Translating these diagnostic imaging modalities into therapy, for example during surgery, poses several challenges. Due to the strict requirements of the operating room (access to the patient, time and sterility constraints), the data acquired is extremely sparse and irregular. In the context of intra-operative gamma ray imaging, we demonstrate an approach using robot-mounted mini gamma cameras. In particular, we generate intelligent detector trajectories through an optimization procedure based on the singular value spectrum of the acquisition geometry, and process the resulting sparse data using iterative statistical tomographic reconstruction and appropriate detector models.
Bio:
Tobias Lasser is currently scientific staff at the Chair for Computer Aided Medical Procedures at the Faculty of Informatics at Technische Universität München in Munich, Germany. He studied Mathematics and Informatics at the Technische Universität München in Munich, Germany. After spending a year in 2005/2006 working on optical tomography at Harvard University in Boston, USA, he finished his Ph.D. in 2011 at Technische Universität München on the topics of optical and intra-operative nuclear tomographic imaging. Since then he has been working on advanced reconstruction methods in the context of X-ray and Gamma ray tomographic imaging modalities.
Practical information
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