Arkadiusz Sitek

Key Technologies in PET Instrumentation and Image Generation

Arkadiusz Sitek, Ivan S. Klyuzhin, Faraz Farhadi, Arman Rahmim

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18F-FDG PET/CT in Oncology Biologic, Technical, and Quantitative Foundations for Interpretation

Navid Hasani, Ava Mohseny, Dillan Patel, Arkadiusz Sitek et autres

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X-Splat: Gaussian Splatting for 3D CBCT Generation from Single Panoramic Radiograph

Tomasz Szczepański, Szymon Płotka, Michal K. Grzeszczyk, Tomasz Trzciński et autres

Generating a 3D dental volume from a single panoramic radiograph (PXR) could provide a low-radiation alternative to Cone-Beam Computed Tomography (CBCT), but the problem is highly underdetermined: panoramic acquisition integrates 3D attenuation along curved X-ray paths into a 2D image, leaving depth-resolved …

X-Splat: Gaussian Splatting for 3D CBCT Generation from Single Panoramic Radiograph

Tomasz Szczepański, Szymon Płotka, Michal K. Grzeszczyk, Tomasz Trzciński et autres

Generating a 3D dental volume from a single panoramic radiograph (PXR) could provide a low-radiation alternative to Cone-Beam Computed Tomography (CBCT), but the problem is highly underdetermined: panoramic acquisition integrates 3D attenuation along curved X-ray paths into a 2D image, leaving depth-resolved …

Beyond language: generative artificial intelligence as a general computing model for medicine

Arkadiusz Sitek, David W Bates

In this Viewpoint, we advocate for direct tokenisation of medical data by breaking them into discrete units, such as laboratory results, medications, and vital signs, similar to word tokenisation in language models. This approach enables transformer-based models to learn from the temporal …

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MEDS — An Emerging Data Standard and Ecosystem for Health AI Research

Matthew B. A. McDermott, Ethan Steinberg, Jason A. Fries, Robin P. van de Water et autres

While data standards have been well adopted and highly impactful for observational health informatics, the emerging application of artificial intelligence (AI) to electronic health record (EHR) data - known broadly as health AI - still lacks broadly adopted data standards. This gap …

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Reassurance‐Focused First‐Trimester Euploidy Screening With Machine Learning

Paula Idalia Szenejko, Filip Andrzej Dabrowski, Szymon Płotka, Arkadiusz Sitek et autres

OBJECTIVE: To develop and internally validate a machine-learning (ML) model for first-trimester screening that prioritizes fetal euploidy reassurance and to compare its performance with the conventional Combined Screening Test (CST). METHODS: This retrospective diagnostic-accuracy study included 13,755 singleton pregnancies with known cytogenetic …

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Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling

Junqi Liu, Xinze Zhou, Wenxuan Li, S. Ye et autres

Photon-counting CT (PCCT) provides superior image quality with higher spatial resolution and lower noise compared to conventional energy-integrating CT (EICT), but its limited clinical availability restricts large-scale research and clinical deployment. To bridge this gap, we propose SUMI, a simulated degradation-to-enhancement method …

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling

Junqi Liu, Xinze Zhou, Wenxuan Li, S. Ye et autres

Photon-counting CT (PCCT) provides superior image quality with higher spatial resolution and lower noise compared to conventional energy-integrating CT (EICT), but its limited clinical availability restricts large-scale research and clinical deployment. To bridge this gap, we propose SUMI, a simulated degradation-to-enhancement method …

Novel Asymmetrical High-Resolution and High-Sensitivity Brain Dedicated PET system: Design optimization and performance evaluation

Yuemeng Feng, Lisa Bläckberg, Arkadiusz Sitek, Hamid Sabet

Objective. This study investigates the best achievable performance of a brain-dedicated PET system with high resolution and sensitivity by evaluating different detector configurations, while maintaining a practical system design suitable for dynamic brain Imaging. Approach. Monte Carlo simulations were performed to evaluate …

Novel Asymmetrical High-Resolution and High-Sensitivity Brain Dedicated PET system: Design optimization and performance evaluation

Yuemeng Feng, Lisa Bläckberg, Arkadiusz Sitek, Hamid Sabet

Objective. This study investigates the best achievable performance of a brain-dedicated PET system with high resolution and sensitivity by evaluating different detector configurations, while maintaining a practical system design suitable for dynamic brain Imaging. Approach. Monte Carlo simulations were performed to evaluate …

Maximum-Likelihood--Based Position Decoding of Laser Processed Converging Pixel CsI: Tl Detectors for High-Resolution SPECT

Xi Zhang, Arkadiusz Sitek, Lisa Bläckberg, Matthew A. Kupinski et autres

This study demonstrates the feasibility of a novel fabrication technique for high spatial resolution CsI: Tl scintillation detectors tailored for single photon emission computed tomography (SPECT) systems. Building upon our previously developed laser induced optical barrier (LIOB) method, which achieved high spatial …