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An improved 3D-UNet-based brain hippocampus segmentation model based on MR images
ObjectiveAccurate delineation of the hippocampal region via magnetic resonance imaging (MRI) is crucial for the prevention and early diagnosis of...
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RU-Net: skull strip** in rat brain MR images after ischemic stroke with rat U-Net
BackgroundExperimental ischemic stroke models play a fundamental role in interpreting the mechanism of cerebral ischemia and appraising the...
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An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images
PurposeThis study focuses on assessing the performance of active learning techniques to train a brain MRI glioma segmentation model.
Methods ...
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An Effective Approach to Improve the Automatic Segmentation and Classification Accuracy of Brain Metastasis by Combining Multi-phase Delay Enhanced MR Images
The objective of this study is to analyse the diffusion rule of the contrast media in multi-phase delayed enhanced magnetic resonance (MR) T1 images...
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AI-assisted Segmentation Tool for Brain Tumor MR Image Analysis
TumorPrism3D software was developed to segment brain tumors with a straightforward and user-friendly graphical interface applied to two- and...
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Segmentation-Based Fusion of CT and MR Images
In this paper, a segmentation-based image fusion method is proposed for the fusion of MR and CT images to obtain a high contrast fused image that...
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Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images
For many years, brain tumor detection has been one of the most essential and competitive issues for medical researchers. Many methods have been...
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MR Template-Based Individual Brain PET Volumes-of-Interest Generation Neither Using MR nor Using Spatial Normalization
For more anatomically precise quantitation of mouse brain PET, spatial normalization (SN) of PET onto MR template and subsequent template...
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Microstructural and Metabolic Changes in Normal Aging Human Brain Studied with Combined Whole-Brain MR Spectroscopic Imaging and Quantitative MR Imaging
PurposeThis study aimed to detect age-related brain metabolic and microstructural changes in healthy human brains by the use of whole-brain proton...
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An Intelligent System to Enhance the Performance of Brain Tumor Diagnosis from MR Images
In the human body, cancer is caused by aberrant cell proliferation. Brain tumors are created when cells in the human brain proliferate out of...
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Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection
PurposeAccurate and automatic segmentation of basal ganglia from magnetic resonance (MR) images is important for diagnosis and treatment of various...
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Reliable Delineation of Clinical Target Volumes for Cervical Cancer Radiotherapy on CT/MR Dual-Modality Images
Accurate delineation of the clinical target volume (CTV) is a crucial prerequisite for safe and effective radiotherapy characterized. This study...
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Rate of abnormalities in quantitative MR neuroimaging of persons with chronic traumatic brain injury
BackgroundMild traumatic brain injury (mTBI) can result in lasting brain damage that is often too subtle to detect by qualitative visual inspection...
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MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images
ObjectivesThe study aimed to develop a deep neural network (DNN)–based noise reduction and image quality improvement by only using routine clinical...
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Development and performance of SIAT bPET: a high-resolution and high-sensitivity MR-compatible brain PET scanner using dual-ended readout detectors
PurposePositron emission tomography/magnetic resonance imaging (PET/MRI) is a powerful tool for brain imaging, but the spatial resolution of the PET...
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A fast and accurate brain extraction method for CT head images
BackgroundBrain extraction is an essential prerequisite for the automated diagnosis of intracranial lesions and determines, to a certain extent, the...
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Impact of brain segmentation methods on regional metabolism quantification in 18F-FDG PET/MR analysis
BackgroundAccurate analysis of quantitative PET data plays a crucial role in studying small, specific brain structures. The integration of PET and...
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Pediatric brain aneurysms: a review of 1458 brain MR angiograms
PurposeTo evaluate clinical and imaging characteristics of pediatric brain aneurysms.
Materials and MethodsA retrospective review of 1458 MR...
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Image quality of whole-body diffusion MR images comparing deep-learning accelerated and conventional sequences
ObjectivesTo compare the image quality of deep learning accelerated whole-body (WB) with conventional diffusion sequences.
MethodsFifty consecutive...
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Unified spatial normalization method of brain PET images using adaptive probabilistic brain atlas
PurposeA unique advantage of the brain positron emission tomography (PET) imaging is the ability to image different biological processes with...
