| Lecturer Profile |
Xue Zhong, Houston Methodist, Weill Cornell Medicine. PhD, Director for Biomedical Image Computing Lab, Houston Methodist Research Institute (HMRI), Weill Cornell Medicine, Houston TX. Xue obtained his Bachelor and Master degrees from Xidian University, and PhD from Nanyang Technological University, Singapore. He is an IEEE Senior Member and Associate Editor of CMIG. |
| Lecture Abstract |
Medical imaging has been widely used for planning and guidance of lung cancer diagnosis and treatment, such as image-guided lung biopsy and lung cancer radiotherapy. The challenges of the existing commercial systems lie in how to precisely track the shape and location of tumor while patients are breathing during the procedures, in which we are lack of realtime imaging devices. Accurate targeting the tumor during image-guided biopsy will make sure the biopsy is performed right inside small tumors or on the right spots of larger tumors and will improve the diagnostic yields. On the other hand, in radiotherapy we do not want to under dose the target or overdose the surrounding normal tissues. Thus, adaptive tracking of tumor shape during radiotherapy can help deliver tailored radiation beams onto the tumor dynamically while minimizing damage to surrounding normal tissues. In this presentation, we will first summarize how current commercial systems deal with lung respiratory motion. Then, we will highlight the major challenges faced by these systems: not only the lung is subject to respiratory motion during procedures, but also such motion is lack of reproducibility. Several new technologies including statistical lung motion modeling from 4D-CT images of a population, tumor motion estimation and tracking using high-dimensional estimation methods, and dynamic image guidance with multi-pattern respiratory models will be introduced to address these challenges. Finally, as an example, we will introduce a new minimally invasive image guided lung intervention system based on our proposed high-dimensional lung motion estimation techniques. |
