AIMC Topic: Magnetic Resonance Imaging
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Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application.
Physics in medicine and biology
Jan 24, 2023
. In PET/CT imaging, CT is used for positron emission tomography (PET) attenuation correction (AC). CT artifacts or misalignment between PET and CT can cause AC artifacts and quantification errors in PET. Simultaneous reconstruction (MLAA) of PET act...
Imaging-derived biomarkers in Asthma: Current status and future perspectives.
Respiratory medicine
Jan 23, 2023
Asthma is a common disorder affecting around 315 million individuals worldwide. The heterogeneity of asthma is becoming increasingly important in the era of personalized treatment and response assessment. Several radiological imaging modalities are a...
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques.
BMC medical informatics and decision making
Jan 23, 2023
BACKGROUND: Detecting brain tumors in their early stages is crucial. Brain tumors are classified by biopsy, which can only be performed through definitive brain surgery. Computational intelligence-oriented techniques can help physicians identify and ...
Cross-convolutional transformer for automated multi-organs segmentation in a variety of medical images.
Physics in medicine and biology
Jan 23, 2023
It is a huge challenge for multi-organs segmentation in various medical images based on a consistent algorithm with the development of deep learning methods. We therefore develop a deep learning method based on cross-convolutional transformer for the...
Computing personalized brain functional networks from fMRI using self-supervised deep learning.
Medical image analysis
Jan 21, 2023
A novel self-supervised deep learning (DL) method is developed to compute personalized brain functional networks (FNs) for characterizing brain functional neuroanatomy based on functional MRI (fMRI). Specifically, a DL model of convolutional neural n...
Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis.
Scientific reports
Jan 21, 2023
Right ventricular (RV) volumes are commonly obtained through time-consuming manual delineations of cardiac magnetic resonance (CMR) images. Deep learning-based methods can generate RV delineations, but few studies have assessed their ability to accel...
Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients.
Zeitschrift fur medizinische Physik
Jan 20, 2023
INTRODUCTION: Neuroinflammation evaluation after acute ischemic stroke is a promising option for selecting an appropriate post-stroke treatment strategy. To assess neuroinflammation in vivo, translocator protein PET (TSPO PET) can be used. However, t...
Editorial for "Deep-Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi-Parametric MRI".
Journal of magnetic resonance imaging : JMRI
Jan 20, 2023
Editorial for "Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR Imaging".
Journal of magnetic resonance imaging : JMRI
Jan 20, 2023
Usefulness of balanced SSFP sequence in robot-assisted MRI-guided prostate biopsy: Beyond scouting.
European journal of radiology
Jan 20, 2023
OBJECTIVES: To determine whether bSSFP images are useful for visualizing prostatic lesionsin MRI-guided in-bore transrectal biopsy.
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