Papers
10
Total Citations
96
H-Index
6
About
Tobias Lasser is a computational imaging researcher whose work bridges robotics, nuclear medicine, and tomographic reconstruction, with a particular focus on advancing intra-operative imaging systems for surgical guidance. He has made significant contributions to the development of mini gamma cameras and their integration with robotic platforms for intra-operative SPECT imaging — a technology that promises faster, more flexible nuclear imaging directly in the operating room without the bulk of conventional whole-body scanners. His early work on trajectory optimization for nuclear tomographic imaging and robotic SPECT reconstruction, published in a productive cluster between 2012 and 2014, established foundational methods for acquiring high-quality images during surgery, with his most-cited papers accumulating over 20 citations each in a specialized field. More recently, Lasser has extended these principles to X-ray computed tomography, developing a seven-degree-of-freedom robotic sample holder capable of executing non-standard, task-specific acquisition trajectories — work that opens new possibilities for flexible, adaptive CT scanning of complex specimens. His runtime optimization and spherical trajectory planning research further demonstrates a sustained commitment to making tomographic imaging smarter, faster, and more clinically practical.
Research Focus
Key Achievements
Top Papers
- 1Trajectory optimization for intra-operative nuclear tomographic imaging21 citations · 2013
- 2Mini gamma cameras for intra-operative nuclear tomographic reconstruction20 citations · 2014
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- 4Towards Personalized Interventional SPECT-CT Imaging12 citations · 2014
- 5X-ray computed tomography with seven degree of freedom robotic sample holder12 citations · 2022
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