Brain midline shift measurement and its automation: a review of techniques and algorithms
CC Liao, YF Chen, F Xiao - International journal of biomedical …, 2018 - Wiley Online Library
Midline shift (MLS) of the brain is an important feature that can be measured using various
imaging modalities including X‐ray, ultrasound, computed tomography, and magnetic …
imaging modalities including X‐ray, ultrasound, computed tomography, and magnetic …
Automated detection and screening of traumatic brain injury (TBI) using computed tomography images: a comprehensive review and future perspectives
Traumatic brain injury (TBI) occurs due to the disruption in the normal functioning of the
brain by sudden external forces. The primary and secondary injuries due to TBI include …
brain by sudden external forces. The primary and secondary injuries due to TBI include …
Automatic quantification of computed tomography features in acute traumatic brain injury
Traumatic brain injury is a complex and diverse medical condition with a high frequency of
intracranial abnormalities. These can typically be visualized on a computed tomography …
intracranial abnormalities. These can typically be visualized on a computed tomography …
Automated cerebral infarct volume measurement in follow-up noncontrast CT scans of patients with acute ischemic stroke
AM Boers, HA Marquering, JJ Jochem… - American Journal …, 2013 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Cerebral infarct volume as observed in follow-up CT is an
important radiologic outcome measure of the effectiveness of treatment of patients with acute …
important radiologic outcome measure of the effectiveness of treatment of patients with acute …
Diffusion model based semi-supervised learning on brain hemorrhage images for efficient midline shift quantification
Brain midline shift (MLS) is one of the most critical factors to be considered for clinical
diagnosis and treatment decision-making for intracranial hemorrhage. Existing …
diagnosis and treatment decision-making for intracranial hemorrhage. Existing …
Multimodal biomedical image fusion method via rolling guidance filter and deep convolutional neural networks
J Fu, W Li, A Ouyang, B He - Optik, 2021 - Elsevier
Recently, numerous image fusion algorithms have been proposed and widely used in the
biomedical field. However, most existing algorithms have low luminance, blurry edges and …
biomedical field. However, most existing algorithms have low luminance, blurry edges and …
A robust, fully automatic detection method and calculation technique of midline shift in intracranial hemorrhage and its clinical application
JL Yan, YL Chen, MY Chen, BA Chen, JX Chang… - Diagnostics, 2022 - mdpi.com
A midline shift (MLS) is an important clinical indicator for intracranial hemorrhage. In this
study, we proposed a robust, fully automatic neural network-based model for the detection of …
study, we proposed a robust, fully automatic neural network-based model for the detection of …
Automatic symmetry detection from brain MRI based on a 2-channel convolutional neural network
Symmetry detection is a method to extract the ideal mid-sagittal plane (MSP) from brain
magnetic resonance (MR) images, which can significantly improve the diagnostic accuracy …
magnetic resonance (MR) images, which can significantly improve the diagnostic accuracy …
Automated assessment of midline shift in head injury patients
OBJECTIVES: Midline shift (MLS) is an important quantitative feature for evaluating severity
of brain compression by various pathologies, including traumatic intracranial hematomas. In …
of brain compression by various pathologies, including traumatic intracranial hematomas. In …
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans
Brain midline shift (MLS), demonstrated by imaging, is a qualitative and quantitative
radiological feature which measures the extent of lateral shift of brain midline structures in …
radiological feature which measures the extent of lateral shift of brain midline structures in …