Excited to share that we have been awarded an NIH R56 grant on the topic of developing methods for oncological PET segmentation for the clinical goal of personalizing therapy in patients with non-small cell lung cancer. The Washington University media office did a press release on us receiving this grant. Link to press release here. […]
Our article outlining a framework, strategies, and role of physicians in task-based evaluation of AI methods for medical imaging has been published in special issue on AI in PET Clinics! Excited about this highly collaborative multi-institutional effort! Link to article here and arxiv version here. The WashU media office did a press release on this […]
Dr. Jha gave an invited talk at the World Molecular Imaging Congress 2021 Annual Meeting on how machine learning is pushing the boundaries of quantitative PET. The talk was followed by a stimulating panel discussion that centered on emerging areas in applying machine learning to medical imaging, challenges to address to make AI trustworthy, and […]
Ziping passed his thesis proposal exam with flying colors! His thesis proposal focused on developing novel image-analysis methods for nuclear-medicine imaging. Ziping's dissertation committee consists of Dr. Clifford Robinson, Dr. Yuan Chuan Tai, Dr. Joyce Mhlanga, Dr. Deshan Yang and Dr. Jha. Many thanks to all the committee members for all their inputs during the […]
Excited to share that our own Zekun Li will be presenting our work on developing a multi-energy window quantitative SPECT method for joint quantification of Thorium and Radium! This work is a candidate for the best oral award nominee! https://www.conftool.pro/fully3d-2021/index.php?page=browseSessions&presentations=show&search=A+multiple-energy-window+projection-domain+quantitative+SPECT+method+for+joint+regional+uptake+quantification+of+Th-227+and+Ra-223
We posted a new pre-print that proposes and evaluates a projection-domain low-count quantitative SPECT method for alpha-particle emitting radiopharmaceutical therapy. The proposed method yields accurate significantly improved performance compared to state-of-the-art methods for quantitative SPECT. Link here.
Our article on an estimation-based approach to segmenting PET images has been published in the Special issue on Early Career Researchers in Physics and Medicine and Biology! This article approaches a new approach to segmentation that accounts for the partial-volume effects, including the tissue-fraction effects in PET. Link to article here: https://iopscience.iop.org/article/10.1088/1361-6560/ac01f4/meta A press release […]
Three presentations by our team and collaborators are being presented at the SNMMI Annual Meeting 2021. Links below: Z. Li, N. Benabdallah, D. Abou, B. Baumann, R. Wahl, D. Thorek, A. K. Jha, "A projection-domain quantification method for absolute quantification with low-count SPECT for alpha-particle radiopharmaceutical therapy", J. Nucl. Med. May 2021, 62 (supplement 1) 1539, Candidate for Best Poster […]
The Academy of Radiology and Biomedical Imaging honored Abhinav Jha as the Imaging Innovator of the week. Thanks to the Academy!
We have been awarded our first R01! The grant is on the topic of no-gold-standard evaluation of quantitative imaging methods. More details here.
We are excited to be presenting three talks at the upcoming SPIE Medical Imaging meeting Z. Liu, R. Laforest, J. Mhlanga, T. Fraum, M. Itani, F. Dehdashti, B. A. Siegel, A. K. Jha, "Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images" (link to proceedings and presentation) (arxiv) Z. Yu, […]
Excited to share our pre-print on a fully automated 3D estimation-based approach to segment dopamine transporter (DaT) SPECT images (arxiv)