Search Results for author: Abhinav K. Jha

Found 10 papers, 0 papers with code

DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT

no code implementations7 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.

Denoising

Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT

no code implementations3 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.

Denoising SSIM

A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT

no code implementations1 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.

Denoising

Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization

no code implementations3 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.

Denoising

A physics and learning-based transmission-less attenuation compensation method for SPECT

no code implementations10 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

Task-based assessment of binned and list-mode SPECT systems

no code implementations8 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

Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images

no code implementations5 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

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