Article

An automatic pipeline for PET/MRI attenuation correction validation in the brain

2023-05-17

Abstract excerpt

<title>Abstract</title> <p>Purpose PET/MRI quantitative accuracy for neurological applications is challenging due to accuracy of the PET attenuation correction. In this work, we proposed and evaluated an automatic pipeline for assessing the quantitative accuracy of four different MRI = based attenuation correction (PET MRAC) approaches. Methods The proposed pipeline consists of a synthetic lesion insertion tool...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f9f5bcb4-e873-5881-8e6e-488704507e41
DOI: 10.21203/rs.3.rs-2842317/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An automatic pipeline for PET/MRI attenuation correction validation in the brainDOI 10.21203/rs.3.rs-2842317/v1Read

Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET IIISemantic proximity Read

MuPET (Multiphysics PET): Bridging Computational Mass Transport Physics and Medical Imaging for Synthetic Positron Emission Tomography Data GenerationSemantic proximity Read

Fully automated imaging protocol independent system for pituitary adenoma segmentation: A Convolutional Neural Network-based model on sparsely annotated MRISemantic proximity Read

Advancing Precision: A Comprehensive Review of MRI Segmentation Datasets from BraTS Challenges (2012–2024)Semantic proximity Read

AI-Based Pipeline for the Segmentation of White Matter Hypoattenuations in CT Scans: A Design-Choice Validation StudySemantic proximity Read

Whole Body Positron Emission Tomography Attenuation Correction Map Synthesizing using 3D Deep Generative Adversarial NetworksSemantic proximity Read

MAESTRO: A Public, Generalizable Model for Stroke Lesion Segmentation from T1 MRI Across the Recovery ContinuumSemantic proximity Read

Deep Learning Substitutes Gadolinium in Detecting Functional and Structural Brain Lesions with MRISemantic proximity Read

Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial networkSemantic proximity Read

Head and Neck Tumour Segmentation in PET Images: Performance Evaluation of 3D U-Net with Maximum Voting-Based Surrogate Ground TruthSemantic proximity Read

TCIA Radiology Image Processing for AI and RadiomicsSemantic proximity Read

Simulated Diagnostic Performance of Ultra-Low-Field MRI: Harnessing Open-Access Datasets to Evaluate Novel DevicesSemantic proximity Read