Cargando…

Regional SUV quantification in hybrid PET/MR, a comparison of two atlas-based automatic brain segmentation methods

BACKGROUND: Quantitative analysis of brain positron-emission tomography (PET) depends on structural segmentation, which can be time-consuming and operator-dependent when performed manually. Previous automatic segmentation usually registered subjects’ images onto an atlas template (defined as RSIAT h...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ruan, Weiwei, Sun, Xun, Hu, Xuehan, Liu, Fang, Hu, Fan, Guo, Jinxia, Zhang, Yongxue, Lan, Xiaoli
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2020
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280441/ https://www.ncbi.nlm.nih.gov/pubmed/32514906 http://dx.doi.org/10.1186/s13550-020-00648-8

Ejemplares similares

Evaluating two respiratory correction methods for abdominal PET/MRI imaging
por: Ruan, Weiwei, et al.
Publicado: (2022)

SUV-quantification of physiological lung tissue in an integrated PET/MR-system: Impact of lung density and bone tissue
por: Seith, Ferdinand, et al.
Publicado: (2017)

The Value of (18)F-FDG PET/CT in Diagnosing Pancreatic Lesions: Comparison With CA19-9, Enhanced CT or Enhanced MR
por: Huang, Shengyun, et al.
Publicado: (2021)

Impact of TOF on Brain PET With Short-Lived (11)C-Labeled Tracers Among Suspected Patients With AD/PD: Using Hybrid PET/MRI
por: Wimalarathne, D.D.N, et al.
Publicado: (2022)

Automatic derivation of an MR-PET image-based input function for quantification of 18F-FET
por: da Silva, Nuno Andre, et al.
Publicado: (2015)

Optimized Application of (68)Ga-Prostate-Specific Membrane Antigen-617 Whole-Body PET/CT and Pelvic PET/MR in Prostate Cancer Initial Diagnosis and Staging
por: Qin, Chunxia, et al.
Publicado: (2021)

18F-FDG PET/MR imaging of lymphoma nodal target lesions: Comparison of PET standardized uptake value (SUV) with MR apparent diffusion coefficient (ADC)
por: Bernstine, Hanna, et al.
Publicado: (2018)

Added value of regional (18)F-FDG PET/MRI-assisted whole-body (18)F-FDG PET/CT in malignant ascites with unknown primary origin
por: Fu, Yiru, et al.
Publicado: (2023)

SUVref: reducing reconstruction-dependent variation in PET SUV
por: Kelly, Matthew D, et al.
Publicado: (2011)

SUV variability in EARL-accredited conventional and digital PET
por: Koopman, Daniëlle, et al.
Publicado: (2019)

Is SUV Corrected for Lean Body Mass Superior to SUV of Body Weight in (68)Ga-PSMA PET/CT?
por: Aksu, Ayşegül, et al.
Publicado: (2021)

Head-to-Head Comparison of Neck (18)F-FDG PET/MR and PET/CT in the Diagnosis of Differentiated Thyroid Carcinoma Patients after Comprehensive Treatment
por: Song, Yangmeihui, et al.
Publicado: (2021)

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

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

Impact of brain segmentation methods on regional metabolism quantification in (18)F-FDG PET/MR analysis
por: Shan, Yi, et al.
Publicado: (2023)

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

Measurement of SUVs-Maximum for Normal Region Using VOI in PET/MRI and PET/CT
por: Park, Jeong Kyu, et al.
Publicado: (2014)

Exploration of the threshold SUV for diagnosis of malignancy using (18)F-FBPA PET/CT
por: Isohashi, Kayako, et al.
Publicado: (2022)

Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI
por: Almeida, Sílvia D., et al.
Publicado: (2020)

Correlation of (18)F-FDG/PET SUV(max), SUV(mean), MTV, and TLG with HIF-1α in Patients with Colorectal Cancer
por: Kaymak, Zümrüt Arda, et al.
Publicado: (2021)

FDG Dose Extravasations in PET/CT: Frequency and Impact on SUV Measurements
por: Osman, Medhat M., et al.
Publicado: (2011)

Pulmonary Sequestration with Renal Aplasia and Elevated SUV Level in PET/CT
por: Şen, Serdar, et al.
Publicado: (2012)

Effect of Tumor-Pixel Positioning on the Variability of SUV Measurements in PET Images
por: Itagaki, Koji, et al.
Publicado: (2023)

Automatic and unbiased segmentation and quantification of myofibers in skeletal muscle
por: Waisman, Ariel, et al.
Publicado: (2021)

For avid glucose tumors, the SUV peak is the most reliable parameter for [(18)F]FDG-PET/CT quantification, regardless of acquisition time
por: Sher, Avigaëlle, et al.
Publicado: (2016)

Semi-Automatic segmentation of multiple mouse embryos in MR images
por: Baghdadi, Leila, et al.
Publicado: (2011)

Automatic Segmentation and Quantitative Assessment of Stroke Lesions on MR Images
por: Verma, Khushboo, et al.
Publicado: (2022)

A comparative study of automatic image segmentation algorithms for target tracking in MR‐IGRT
por: Feng, Yuan, et al.
Publicado: (2016)

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

Editorial: Utilization of Hybrid PET/MR in Neuroimaging
por: Tahmasian, Masoud, et al.
Publicado: (2015)

Automated computer quantification of breast cancer in small-animal models using PET-guided MR image co-segmentation
por: Bagci, Ulas, et al.
Publicado: (2013)

FDG-PET staging and importance of lymph node SUV in head and neck cancer
por: Kubicek, Gregory J, et al.
Publicado: (2010)

Deep Network for the Automatic Segmentation and Quantification of Intracranial Hemorrhage on CT
por: Xu, Jun, et al.
Publicado: (2021)

A fast stochastic framework for automatic MR brain images segmentation
por: Ismail, Marwa, et al.
Publicado: (2017)

Fully automatic segmentation of short and long axis cine cardiac MR
por: Fradkin, Maxim, et al.
Publicado: (2009)

Is it safe to drive SUVs?
Publicado: (1998)

Optimization of PET reconstruction algorithm, SUV thresholding algorithm and PET acquisition time in clinical (11)C-acetate PET/CT
por: Strandberg, Sara, et al.
Publicado: (2018)

Amyloid burden quantification depends on PET and MR image processing methodology
por: Kolinger, Guilherme D., et al.
Publicado: (2021)

Accuracy of PET quantification in [(68)Ga]Ga-pentixafor PET/MR imaging of carotid plaques
por: Rausch, Ivo, et al.
Publicado: (2020)

Assessment of Mediastinal Tumors Using SUV(max) and Volumetric Parameters on FDG-PET/CT
por: Morita, Takahiro, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_l11l6fi0f62bke16t48aina2u2