Evaluation of Deep Learning Based PET Image Enhancement ...

Conclusions: Deep learning can help accelerate PET acquisitions by 25% or even 50% without compromising quantitative SUV values and qualitative ...

Assessing the deep learning based image quality enhancements for ...

This study conducted a thorough evaluation of deep learning algorithms in the GE Omni Legend PET/CT scanner, demonstrating that these methods ...

Assessing the deep learning based image quality enhancements for ...

This study conducted a thorough evaluation of deep learning algorithms in the GE Omni Legend PET/CT scanner, demonstrating that these methods ...

Clinical evaluation of deep learning‐enhanced lymphoma pet ...

... based image enhancement method to the most commonly seen lymphoma in different stages. We evaluate the quality of restored low-dose PET from ...

Performance Evaluation of a Deep Learning Model on FDG-PET ...

A deep learning model (RaDynPET) was applied to enhance the 2x and 4x accelerated scan data. These enhanced images, along with their fast scan ...

Artificial Intelligence and Deep Learning for Advancing PET Image ...

In the context of analysis-based regularization, deep networks are ... AI-based super-resolution techniques offer a powerful approach to enhance the ...

Deep learning-based techniques for estimating high-quality full ...

... image preprocessing techniques, input data types, and loss functions. The evaluation of the generated PET images was conducted using both ...

Performance of a deep learning enhancement method applied to ...

AI-based algorithms can enhance the image quality of accelerated PET acquisitions, enabling the dose reduction to the patients and improving the ...

Deep learning-based PET image denoising and reconstruction

Deep learning in medical image analysis. Annu Rev Biomed Eng. 2017 ... Enhanced PET imaging using progressive conditional deep image prior.

Survey paper Deep learning based synthesis of MRI, CT and PET

This survey provides a comprehensive review of the cross-modality medical image synthesis methods with an analysis of network structures, loss functions, ...

Performance of a deep learning enhancement method applied to ...

Its routine use in PET/CT imaging may potentially reduce the acquisition time or patient's radiation dose. Based on these encouraging results, our institution ...

Low-count whole-body PET with deep learning in a multicenter and ...

In this study, we evaluated the performance and generalizability of a deep-learning-based image-quality enhancement algorithm applied to ...

The promise of artificial intelligence and deep learning in PET and ...

The applications of AI-based algorithms in PET and SPECT imaging ranges from low-level electronic signal formation/processing to high-level internal dosimetry ...

Deep learning techniques in PET/CT imaging - ScienceDirect.com

Assessment of the pre-processing techniques for DL models with PET/CT input. •. Addresses existing gaps in the literature and suggestions for future research.

Deep learning-assisted PET imaging achieves fast scan/low-dose ...

This study aimed to investigate the impact of a deep learning (DL)-based denoising method on the image quality and lesion detectability of 18 F-FDG positron ...

Deep learning model for automatic image quality assessment in PET

All indicators of models were assessed using fivefold cross-validation. An image quality QA tool was developed based on our deep learning model.

Deep learning–based time-of-flight (ToF) image enhancement of ...

Methods. A total of 273 [18F]-FDG PET scans were used, including data from 6 centres equipped with GE Discovery MI ToF scanners ...

(PDF) Deep learning-based PET image denoising and reconstruction

The third category comprises iterative reconstruction methods that combine conventional iterative image reconstruction with neural-network enhancement. We ...

Deep learning‐based image reconstruction and post‐processing ...

Recent reviews of deep learning-based methods in. PET have covered both denoising and attenuation cor- rection methods [10], broad scope analysis of diagnostic.

(PDF) Deep learning-based image reconstruction and post ...

PDF | Image processing plays a crucial role in maximising diagnostic quality of positron emission tomography (PET) images. Recently, deep ...