no code implementations • 7 Jun 2023 • Md Ashequr Rahman, Zitong Yu, Richard Laforest, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha
There is an important need for methods to process myocardial perfusion imaging (MPI) SPECT images acquired at lower radiation dose and/or acquisition time such that the processed images improve observer performance on the clinical task of detecting perfusion defects.
no code implementations • 19 May 2023 • Xiyao Jin, Yao Hao, Jessica Hilliard, Zhehao Zhang, Maria A. Thomas, Hua Li, Abhinav K. Jha, Geoffrey D. Hugo
An image domain shift detector was developed by utilizing a trained Denoising autoencoder (DAE) and two hand-engineered features.
no code implementations • 3 Mar 2023 • Zitong Yu, Md Ashequr Rahman, Richard Laforest, Thomas H. Schindler, Robert J. Gropler, Richard L. Wahl, Barry A. Siegel, Abhinav K. Jha
Our objectives were to (1) investigate whether evaluation with these FoMs is consistent with objective clinical-task-based evaluation; (2) provide a theoretical analysis for determining the impact of denoising on signal-detection tasks; (3) demonstrate the utility of virtual clinical trials (VCTs) to evaluate DL-based methods.
no code implementations • 1 Mar 2023 • Md Ashequr Rahman, Zitong Yu, Barry A. Siegel, Abhinav K. Jha
However, while promising, studies have shown that these methods may have limited impact on the performance of clinical tasks in SPECT.
no code implementations • 7 Nov 2022 • Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot Siegel, John J. Sunderland, Richard L. Wahl
The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD on March 21-22, 2022.
no code implementations • 3 Mar 2022 • Zitong Yu, Md Ashequr Rahman, Abhinav K. Jha
To achieve this goal, we conducted a task-based characterization of a DL-based denoising approach for individual signal properties.
no code implementations • 10 Feb 2021 • Zitong Yu, Md Ashequr Rahman, Thomas Schindler, Richard Laforest, Abhinav K. Jha
The proposed method uses data acquired in the scatter window to reconstruct an initial estimate of the attenuation map using a physics-based approach.
Medical Physics
no code implementations • 8 Feb 2021 • Md Ashequr Rahman, Abhinav K. Jha
We conducted this evaluation study using a DaTscan brain SPECT acquisition protocol, conducted in the context of imaging patients with Parkinson's disease.
Medical Physics Image and Video Processing
no code implementations • 5 Feb 2021 • Ziping Liu, Richard Laforest, Joyce Mhlanga, Tyler J. Fraum, Malak Itani, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha
In this study, we develop a stochastic and physics-based method to generate realistic oncological two-dimensional (2-D) PET images, where the ground-truth tumor properties are known.
Medical Physics Image and Video Processing
no code implementations • 29 Feb 2020 • Ziping Liu, Joyce C. Mhlanga, Richard Laforest, Paul-Robert Derenoncourt, Barry A. Siegel, Abhinav K. Jha
Conventional segmentation methods are typically designed to assign each voxel in the image as belonging to a certain tissue class.