Janice Tania, summer intern in the lab, received the Best Poster award at the Poster Palooza event of the McKelvey School of Engineering at Washington University. This was for her internship work on developing new AI-based methods for therapeutic SPECT images. Congratulations Janice and great job during your internship!
Zitong Yu received the third place in the Physics Instrumentation and Data Sciences Young Investigator Award at the SNMMI Annual Meeting 2023. This award was for his work titled “Task-based evaluation of a scatter projection and deep learning-based transmission-less attenuation-compensation method with clinical data”.
Dr. Jha has received the NSF CAREER award! The title of his proposal is “CAREER: Developing a list-mode imaging paradigm”. The proposed project aims to push the fundamental limits of imaging by developing novel theoretical and computational methods to extract task-specific information from list-mode imaging systems. Thanks to the National Science Foundation for supporting our research!
Delighted to share that Ziping Liu successfully defended his thesis on April 11, 2023! The title of his dissertation is Development of Image-Segmentation and Objective Evaluation Methods for Quantitative Nuclear-Medicine Imaging. Congratulations Ziping!
Dr. Jha presented an invited talk at the 54th Annual Conference of the Society of Nuclear Medicine India. The talk was titled “Translating the promise of artificial intelligence in nuclear medicine to reality”. This was a wonderful conference. Thanks to the organizing committee for the invitation and for their hospitality!
Delighted to share that Huitian, another one of our newest CMIT Lab members, has been awarded the 2023 Medical and Science Student Research grant from the Society of Nuclear Medicine and Molecular Imaging (SNMMI) for his proposal on developing tumor segmentation methods for oncological PET. The project continues our labs efforts on clinically translating an […]
Delighted to share that Kweku Enninful, one of the newest members of the CMIT lab, has received the 2023 Medical and Science Student Research grant from the Society of Nuclear Medicine and Molecular Imaging (SNMMI) for his proposal on developing quantitative SPECT methods for radiopharmaceutical therapy. Kweku is in the first year of his BME PhD […]
Happy to share a wonderful press release highlighting the achievements of Ziping, Zitong and Asheq at the SPIE Medical Imaging meeting. https://engineering.wustl.edu/news/2023/Doctoral-students-earn-awards-at-SPIE-conference.html Thanks to the media office!
Congratulations to Zitong on successfully passing his proposal exam! Zitong has been working on the exciting topic of development and task-based evaluation of AI algorithms for SPECT. His work has been recognized by several awards. We are excited about Zitong’s work going forward.
We are delighted to share that our paper that demonstrates the need for task-based evaluation of AI-based denoising algorithms has been accepted for publication! This study shows, through an in silico imaging trial (also referred to as virtual imaging trial) that evaluation of AI-based denoising algorithms using fidelity-based metrics such as root mean square error […]
Delighted to share that our paper titled “Observer-study-based approaches to quantitatively evaluate the realism of synthetic medical images” has been accepted to the Special Issue on Informatics tools in cancer research of the journal Physics in Medicine and Biology. Here is the open access link to the paper. We are excited about this paper given […]
Delighted to share that Zitong Yu, PhD student in our lab, received 2023 Bradley-Alavi Student Fellowship of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), based on his proposal on developing a deep learning-based transmission-less attenuation compensation method! This proposal continues Zitong’s exciting work in this space. His prior work on developing this method […]
Dr. Jha served as a panelist on a webinar titled “Advances in in silico trials of medical products: evidence, methods and tools”. The webinar was sponsored by the IOP Publishing journal, Progress in Biomedical Engineering, to explore the advances in in silico trials of medical products. More on that webinar here.
Asheq’s poster titled “A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT” received honorable mention for the SPIE Medical imaging Best Poster award! The link to the paper is here. Congratulations Asheq!
Zitong was awarded Physics of Medical Imaging Best Paper Award for his paper titled “Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT”. Additionally, he was also a finalist for the Robert F. Wagner All-Conference Best Student Paper Award for this paper. Here is the […]
Ziping was a finalist for the Robert F. Wagner Best paper award at the SPIE Medical Imaging meeting for his paper titled “Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET”. His talk on this topic generated lots of interest at the meeting. Congrats Ziping!
Zekun passed his proposal exam with flying colors! His proposal was on developing quantitative SPECT methods for radiopharmaceutical therapies. Zekun has already published the findings from his research and has also presented at multiple conferences, where his work has been nominees for Best Oral and Best Poster awards. We celebrated Zekun’s success and Ziping’s birthday […]
Dr. Jha spoke on how AI can help nuclear medicine at the 2022 Evens Society Alumni weekend. This talk was part of a Continuing Medical Education (CME) program.
Dr. Jha presented an invited talk titled “Task-Based Evaluation of AI-based Medical Imaging Methods in Nuclear Cardiology” at the American Society of Nuclear Cardiology (ASNC) 2022 Annual Meeting in Orlando, Florida. This talk was part of a special session on Artificial Intelligence in Cardiac Imaging. We thank the organizers for the invitation to present at […]
Excited to share that our paper on best practices for evaluation of AI algorithms is now published in the Journal of Nuclear Medicine! This was a huge multi-institutional effort within the SNMMI AI task force evaluation team, that I had the honor of leading. Link to download paper here. Media reception to the paper: Auntminnie, […]
Asheq successfully passed his proposal exam! His research is on developing computational SPECT methods for clinical applications. Asheq’s committee consists of Dr. Yuan Chuan Tai, Dr. Barry Siegel, Dr. Richard Laforest, Dr. Matthew Lew and Dr. Jha. Many thanks to all the the committee members for their inputs and feedback during the exam. Great job, […]
We had great fun organizing a session at the 2022 SNMMI Annual Meeting entitled “Clinical Evaluation of AI algorithms: The road towards clinical translation”! This turned out to be an amazing session with talks on best practices for evaluation, the role of physicians in evaluation, regulatory aspects and industrial perspectives. This was followed by an engaging […]
Dr. Jha spoke on how deep learning can push the boundaries of quantitative image analysis at the Mallinckrodt Institute of Radiology Research Symposium. The talk generated a lot of interest and stimulating questions from the audience, leading to multiple discussions. It was a wonderful experience giving this talk! Thanks to the organizers for the invitation […]
Delighted to share that our publication on a projection-domain low-count quantitative SPECT method for alpha-particle-based radiopharmaceutical therapies has been accepted for publication to the IEEE Transactions on Radiation Imaging and Plasma Sciences! The arxiv version of the article is available here. In this manuscript, we develop a method to perform quantification of uptake within different […]
Yan Liu has been awarded the Society of Nuclear Medicine and Molecular Imaging (SNMMI) Student Research Grant! In this project, Yan will be developing new methods to quantify and harmonize PET radiomic features. Thanks to SNMMI for supporting this effort of Yan.
Excited to share that eleven abstracts based on work done by our lab and with collaborators have been accepted at the 2022 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting to be held in Vancouver, Canada. One of these abstracts was first-authored by Yan Liu, who accomplished this research during her rotation period […]
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) organized an AI summit with the goal of convening and gather various representatives from major stakeholders in nuclear medicine and AI spaces to identify and address barriers to the development of AI and ML tools for nuclear medicine, molecular imaging, and radiopharmaceutical therapy. Dr. Jha presented […]
Delighted to share that Ziping Liu was one of eight finalists for the Robert F. Wagner Best Student Paper Award at the SPIE Medical Imaging meeting. This was for his paper on no-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise. Well done, Ziping!
Zitong and Ziping presented talks at the SPIE Medical Imaging meeting on their works on developing an observer-study-based characterization and on no-gold-standard evaluation at the 2022 SPIE Medical Imaging meeting. Great job Zitong and Ziping!
Excited to share news of our new publication in Nature Medicine! AI algorithms often provide an uncertainty output, and we asked the question of how should this uncertainty be handled in clinical settings, leading to some fascinating ideas and findings! Give it a read here. Enjoyed the collaboration with Drs. Jonathan Birch (London School of […]
Yan Liu, PhD student in the Imaging Sciences program, is the latest addition to our lab! Within her two-month rotation period, Yan generated and submitted an abstract on PET radiomics for the SNMMI 2022 Annual Meeting! Great job Yan and we are excited to have you join us!
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)
Delighted to share that the four abstracts we had submitted to the SNMMI 2020 Annual Meeting were all accepted for talks and then also highlighted in the summary session of the PIDS council. The references are as below: 1. H.S. Moon, Z. Liu, M. Ponisio, R. Laforest, and A. K. Jha, A physics-guided and learning-based […]
Delighted to share that our article on analyzing the information content in SPECT emission data on the task of jointly estimating activity and attenuation distribution was accepted to Inverse Problems. Link to the article is here. Arxiv link here. This work shows that scatter-window photons in SPECT, that are typically discarded, when acquired in list-mode […]
Excited to share that our article on developing a modular physics-guided deep-learning-based method for segmenting oncological PET images was recently accepted to the journal Physics in Medicine and Biology. Here is the link to the article, and here is the arxiv link. The article was also highlighted in the McKelvey Engineering newsletter. Source code for […]
Congratulations to Hae Sol on defending his thesis on developing new image-analysis methods for DaTscan SPECT. His committee consisted of Drs. Joel Perlmutter, Richard Laforest, Dennis Barbour, and Abhinav Jha. Hae Sol is the first Masters student to defend from the lab. Exciting times!
Zekun Li has been awarded the SNMMI Student Research Grant: Discovering Molecular Imaging. In this grant, Zekun will develop novel methods for SPECT reconstruction. Congratulations, Zekun! News article here: https://engineering.wustl.edu/news/Pages/doctoral-student-wins-snmmi-grant-to-study-novel-imaging-methods.aspx
The CMI lab had a great presence at the IEEE International Symposium on Biomedical Imaging 2020. Lab members gave three talks on SPECT reconstruction and image analysis during a very well-attended virtual session on Computational Imaging for Nuclear Medicine. Asheq also received financial support to cover his registration costs at the meeting. Thanks ISBI organizing […]
Dr. Jha from the CMI Lab gave a brief invited presentation at the FDA public workshop on the Emerging Role of Artificial Intelligence in Medical Imaging. His presentation was titled “AI in Nuclear Medicine: Opportunities and Risks”. The talk was later highlighted in the day’s summary. The webcast for the presentation is available here (at […]