Mentor Areas
Computed tomography, cone-beam computed tomography, deep learning image formation, imaging physics, image reconstruction, image quality, image chain modeling, image analysis, radiomics
Description:
Cone-beam computed tomography (CBCT) is the frontline imaging modality for image-guided interventions in the operating room. However, current CBCT systems are limited by poor image quality, which hinders downstream tasks such as segmentation, detection, and quantitation. We aim to develop novel deep learning-based reconstruction and image processing techniques to enhance CBCT imaging performance. A central focus of algorithm development is the integration of domain knowledge—drawing from image physics and data statistics—to improve model robustness and generalizability.
The following research projects are available:
- Application and evaluation of a diffusion model-based deep learning reconstruction algorithm using clinical CBCT data.
- Development of a post-processing synthetic CT generation network using paired CT-CBCT data to improve segmentation performance.
These projects will be conducted in the IMPACT (IMaging Physics, Analysis, and Clinical Translation) Lab directed by Dr. Grace J. Gang. The IMPACT Lab is committed to advancing CT and CBCT imaging technologies through a rigorous foundation in imaging science. We welcome candidates with strong programming, quantitative, and communication skills. Ideal applicants typically hold a Bachelor’s degree in electrical engineering, biomedical engineering, physics, applied mathematics, or computer science.
Preferred Qualifications
Strong programming and quantitative skills.
Project Website
Learn more about the researcher and/or the project here. https://www3.PennMedicine.org/impact-lab
Details:
Preferred Student Year
Junior, Senior
Academic Term
Fall, Spring, Summer
I prefer to have students start during the above term(s).Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
Yes
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
Yes
Yes indicates that faculty are open to hiring work-study-eligible students.