Cargando…

Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation

BACKGROUND: Automated segmentation of spinal magnetic resonance imaging (MRI) plays a vital role both scientifically and clinically. However, accurately delineating posterior spine structures is challenging. METHODS: This retrospective study, approved by the ethical committee, involved translating T...

Descripción completa

Detalles Bibliográficos
Autores principales:	Graf, Robert, Schmitt, Joachim, Schlaeger, Sarah, Möller, Hendrik Kristian, Sideri-Lampretsa, Vasiliki, Sekuboyina, Anjany, Krieg, Sandro Manuel, Wiestler, Benedikt, Menze, Bjoern, Rueckert, Daniel, Kirschke, Jan Stefan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643734/ https://www.ncbi.nlm.nih.gov/pubmed/37957426 http://dx.doi.org/10.1186/s41747-023-00385-2

Ejemplares similares

Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment
por: Waldmannstetter, Diana, et al.
Publicado: (2020)

Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements
por: Rühling, Sebastian, et al.
Publicado: (2021)

Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs †
por: Bayat, Amirhossein, et al.
Publicado: (2022)

A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data
por: Liebl, Hans, et al.
Publicado: (2021)

Level-Specific Volumetric BMD Threshold Values for the Prediction of Incident Vertebral Fractures Using Opportunistic QCT: A Case-Control Study
por: Dieckmeyer, Michael, et al.
Publicado: (2022)

Proposed diagnostic volumetric bone mineral density thresholds for osteoporosis and osteopenia at the cervicothoracic spine in correlation to the lumbar spine
por: Rühling, Sebastian, et al.
Publicado: (2022)

Deep learning for medical image analysis: a brief introduction
por: Wiestler, Benedikt, et al.
Publicado: (2021)

Gender-, Age- and Region-Specific Characterization of Vertebral Bone Microstructure Through Automated Segmentation and 3D Texture Analysis of Routine Abdominal CT
por: Dieckmeyer, Michael, et al.
Publicado: (2022)

Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment
por: Canalini, Luca, et al.
Publicado: (2022)

Validation of a Patient-Specific Musculoskeletal Model for Lumbar Load Estimation Generated by an Automated Pipeline From Whole Body CT
por: Lerchl, Tanja, et al.
Publicado: (2022)

Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study
por: Finck, Tom, et al.
Publicado: (2022)

Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches
por: Zhylka, Andrey, et al.
Publicado: (2021)

BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific Practice
por: Kofler, Florian, et al.
Publicado: (2020)

Modelling glioma progression, mass effect and intracranial pressure in patient anatomy
por: Lipková, Jana, et al.
Publicado: (2022)

Assessment of the Extent of Resection in Surgery of High-Grade Glioma—Evaluation of Black Blood Sequences for Intraoperative Magnetic Resonance Imaging at 3 Tesla
por: Finck, Tom, et al.
Publicado: (2020)

MDCT-Based Finite Element Analyses: Are Measurements at the Lumbar Spine Associated with the Biomechanical Strength of Functional Spinal Units of Incidental Osteoporotic Fractures along the Thoracolumbar Spine?
por: Sollmann, Nico, et al.
Publicado: (2021)

Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset
por: Schlaeger, Sarah, et al.
Publicado: (2023)

Implementation of GAN-Based, Synthetic T2-Weighted Fat Saturated Images in the Routine Radiological Workflow Improves Spinal Pathology Detection
por: Schlaeger, Sarah, et al.
Publicado: (2023)

A Vertebral Segmentation Dataset with Fracture Grading
por: Löffler, Maximilian T., et al.
Publicado: (2020)

Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans
por: Bodden, Jannis, et al.
Publicado: (2023)

Prediction of Incidental Osteoporotic Fractures at Vertebral-Specific Level Using 3D Non-Linear Finite Element Parameters Derived from Routine Abdominal MDCT
por: Yeung, Long Yu, et al.
Publicado: (2021)

Fully automated analysis combining [(18)F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression
por: Paprottka, K. J., et al.
Publicado: (2021)

Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA
por: Löffler, Maximilian T., et al.
Publicado: (2021)

Postoperative Bildgebung der Wirbelsäule
por: Schlaeger, S., et al.
Publicado: (2022)

Diffusion tensor image features predict IDH genotype in newly diagnosed WHO grade II/III gliomas
por: Eichinger, Paul, et al.
Publicado: (2017)

Subcortical motor ischemia can be detected by intraoperative MRI within 1 h – A feasibility study
por: Ille, Sebastian, et al.
Publicado: (2022)

Progressive disease in glioblastoma: Benefits and limitations of semi-automated volumetry
por: Huber, Thomas, et al.
Publicado: (2017)

The Impact of ioMRI on Glioblastoma Resection and Clinical Outcomes in a State-of-the-Art Neuro-Oncological Setup
por: Zhang, Wei, et al.
Publicado: (2023)

Automated processing of webcam images for phenological classification
por: Bothmann, Ludwig, et al.
Publicado: (2017)

AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis
por: Schlaeger, Sarah, et al.
Publicado: (2023)

Robust, Primitive, and Unsupervised Quality Estimation for Segmentation Ensembles
por: Kofler, Florian, et al.
Publicado: (2021)

Statistically unbiased prediction enables accurate denoising of voltage imaging data
por: Eom, Minho, et al.
Publicado: (2023)

Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions
por: de la Rosa, Ezequiel, et al.
Publicado: (2023)

An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
por: Roels, Joris, et al.
Publicado: (2020)

Adversarial Gaussian Denoiser for Multiple-Level Image Denoising
por: Khan, Aamir, et al.
Publicado: (2021)

Elucidating the structural–functional connectome of language in glioma‐induced aphasia using nTMS and DTI
por: Zhang, Haosu, et al.
Publicado: (2021)

Preoperative function‐specific connectome analysis predicts surgery‐related aphasia after glioma resection
por: Ille, Sebastian, et al.
Publicado: (2022)

Improving tractography in brainstem cavernoma patients by distortion correction
por: Liang, Raimunde, et al.
Publicado: (2023)

GLMdenoise: a fast, automated technique for denoising task-based fMRI data
por: Kay, Kendrick N., et al.
Publicado: (2013)

Impact of automated ICA-based denoising of fMRI data in acute stroke patients
por: Carone, D., et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_88gtjcvo2ueuutu95k9gagtg2v