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 • 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 • 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.
no code implementations • 5 Oct 2016 • Marie-Charlotte Desseroit, Florent Tixier, Wolfgang Weber, Barry A. Siegel, Catherine Cheze Le Rest, Dimitris Visvikis, Mathieu Hatt
Features were more reliable in PET with quantizationB, whereas quantizationW showed better results in CT. Conclusion: The test-retest repeatability of shape and heterogeneity features in PET and low-dose CT varied greatly amongst metrics.