ISBI is a joint initiative from the IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology Society (EMBS). This year, I could not attend ISBI 2015 conference due to some conflicts in the time, however Dr. Xu presented our work at ISBI 2015 (oral). The conference was held at New York City, 16-19 April 2015.
I finished this study right before leaving NIH, and my former post-doc student Dr. Xu presented the work at ISBI 2015. Here is the link and citation of the paper:
Z.Xu, Ulas Bagci, M. Gao, D.J. Mollura, Highly Precise Partial Volume Correction for PET Images: An Iterative Approach via Shape Consistency, IEEE International Symposium of Biomedical Imaging (ISBI), April 16-19, New York, 2015.
In this study, we presented a new iterative partial volume correction (PVC) approach for PET images. Our approach uses the state of the art simultaneous delineation and noise removal algorithm to estimate the local uptake regions. While delineation is utilized for weighted PVC with regard to a shape consistency measurement. The process is performed iteratively until delineation convergence. Qualitative and quantitative results demonstrated that the proposed framework successfully corrects the partial volume effects and preserve local structures.