Cargando…

Application of Deep Learning for Prediction of Alzheimer’s Disease in PET/MR Imaging

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects millions of people worldwide. Positron emission tomography/magnetic resonance (PET/MR) imaging is a promising technique that combines the advantages of PET and MR to provide both functional and structural information o...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Yan, Guo, Qianrui, Zhang, Yukun, Zheng, Jia, Yang, Yang, Du, Xuemei, Feng, Hongbo, Zhang, Shuo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604050/ https://www.ncbi.nlm.nih.gov/pubmed/37892850 http://dx.doi.org/10.3390/bioengineering10101120

Ejemplares similares

PET/MR Imaging: New Frontier in Alzheimer's Disease and Other Dementias
por: Zhang, Xin Y., et al.
Publicado: (2017)

Pelvic PET/MR attenuation correction in the image space using deep learning
por: Abrahamsen, Bendik Skarre, et al.
Publicado: (2023)

Feasibility of Deep Learning–Based PET/MR Attenuation Correction in the Pelvis Using Only Diagnostic MR Images
por: Bradshaw, Tyler J., et al.
Publicado: (2018)

Feasibility Study of 3D FACT and IVIM Sequences in the Evaluation of Female Osteoporosis
por: Zhang, Shuo, et al.
Publicado: (2023)

Topographical Heterogeneity of Alzheimer’s Disease Based on MR Imaging, Tau PET, and Amyloid PET
por: Jeon, Seun, et al.
Publicado: (2019)

Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
por: Yang, Yang, et al.
Publicado: (2018)

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
por: Lu, Donghuan, et al.
Publicado: (2018)

Hybrid imaging with PET/CT and PET/MR
por: Kjaer, Andreas
Publicado: (2014)

Deep Learning for Differentiating Benign From Malignant Parotid Lesions on MR Images
por: Xia, Xianwu, et al.
Publicado: (2021)

Brain Age Prediction of Children Using Routine Brain MR Images via Deep Learning
por: Hong, Jin, et al.
Publicado: (2020)

Deep learning improves utility of tau PET in the study of Alzheimer's disease
por: Zou, James, et al.
Publicado: (2021)

Application of Pet-CT Fusion Deep Learning Imaging in Precise Radiotherapy of Thyroid Cancer
por: Lin, Qiuyu, et al.
Publicado: (2021)

Do carotid MR surface coils affect PET quantification in PET/MR imaging?
por: Willemink, Martin J, et al.
Publicado: (2015)

Personalized synthetic MR imaging with deep learning enhancements
por: Pal, Subrata, et al.
Publicado: (2022)

MR/PET Imaging of the Cardiovascular System
por: Robson, Philip M., et al.
Publicado: (2017)

Multimodality Imaging Approaches in Alzheimer's disease. Part II: 1H MR spectroscopy, FDG PET and Amyloid PET
por: Promteangtrong, Chetsadaporn, et al.
Publicado: (2015)

An experimental phantom study of the effect of gadolinium-based MR contrast agents on PET attenuation coefficients and PET quantification in PET-MR imaging: application to cardiac studies
por: O’ Doherty, Jim, et al.
Publicado: (2017)

Image artifacts from MR-based attenuation correction in dedicated PET/MR breast coil for PET/MR mammography
por: Cho, Ihnho, et al.
Publicado: (2015)

Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer’s disease
por: Imabayashi, Etsuko, et al.
Publicado: (2022)

RF-Penetrable PET insert for simultaneous PET/MR imaging
por: Lee, Brian J, et al.
Publicado: (2014)

Complexities of deep learning-based undersampled MR image reconstruction
por: Noordman, Constant Richard, et al.
Publicado: (2023)

Molecular imaging in oncology: the acceptance of PET/CT and the emergence of MR/PET imaging
por: Schiepers, Christiaan, et al.
Publicado: (2010)

Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging
por: Markiewicz, Pawel J., et al.
Publicado: (2021)

Deep learning model for automatic image quality assessment in PET
por: Zhang, Haiqiong, et al.
Publicado: (2023)

A deep learning approach for anterior cruciate ligament rupture localization on knee MR images
por: Qu, Cheng, et al.
Publicado: (2022)

Amyloid PET imaging: applications beyond Alzheimer’s disease
por: Catafau, Ana M., et al.
Publicado: (2015)

DeepAD: A deep learning application for predicting amyloid standardized uptake value ratio through PET for Alzheimer's prognosis
por: Maddury, Sucheer, et al.
Publicado: (2023)

Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis
por: Chen, Xin, et al.
Publicado: (2020)

Hybrid PET/MR Imaging and Brain Connectivity
por: Aiello, Marco, et al.
Publicado: (2016)

An integrated MR/PET system: prospective applications
por: Schlemmer, Heinz-Peter, et al.
Publicado: (2008)

Automated Segmentation of Trigeminal Nerve and Cerebrovasculature in MR-Angiography Images by Deep Learning
por: Lin, Jinghui, et al.
Publicado: (2021)

Application of Deep Learning in Lung Cancer Imaging Diagnosis
por: Jiang, Wenfa, et al.
Publicado: (2022)

PET/MR imaging of sarcomas: effect of PET quantification by classification of tissue
por: Ladefoged, Claes Nøhr, et al.
Publicado: (2014)

Development of PET insert for simultaneous PET/MR imaging of human brain
por: Jung, Jiwoong, et al.
Publicado: (2014)

Accurate hybrid template–based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications
por: Baran, Jakub, et al.
Publicado: (2018)

Deep-Learning Radiomics for Discrimination Conversion of Alzheimer's Disease in Patients With Mild Cognitive Impairment: A Study Based on (18)F-FDG PET Imaging
por: Zhou, Ping, et al.
Publicado: (2021)

Application of deep learning–based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time
por: Kaniewska, Malwina, et al.
Publicado: (2022)

Competencies and training of radiographers and technologists for PET/MR imaging - a study from the UK MR-PET network
por: Mada, Marius Ovidiu, et al.
Publicado: (2020)

Deep learning detection of informative features in tau PET for Alzheimer’s disease classification
por: Jo, Taeho, et al.
Publicado: (2020)

“Low Dose MR” Dixon Technique for Imaging FDG PET-MR Lymphoma
por: Mufti, Musa Ali, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_pojrjbi8k1qsu0laqeafnq1l5g