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Joint image reconstruction and segmentation of real-time cardiac MRI in free-breathing using a model based on disentangled representation learning.
J Cardiovasc Magn Reson
January 2025
Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Purpose: To investigate image quality and agreement of derived cardiac function parameters in a novel joint image reconstruction and segmentation approach based on disentangled representation learning, enabling real-time cardiac cine imaging during free-breathing.
Methods: A multi-tasking neural network architecture, incorporating disentangled representation learning, was trained using simulated examinations based on data from a public repository along with MR scans specifically acquired for model development. An exploratory feasibility study evaluated the method on undersampled real-time acquisitions using an in-house developed spiral bSSFP pulse sequence in eight healthy participants and five patients with intermittent atrial fibrillation.
Imaging of the Placenta.
Clin Obstet Gynecol
March 2025
Department of Obstetrics, Gynecology and Reproductive Sciences, School of Medicine, University of Maryland, College Park, Maryland.
Placental imaging is crucial in prenatal care, offering insights into both normal and abnormal pregnancies. Traditional methods like grayscale ultrasound and magnetic resonance imaging evaluate placental anatomy, whereas Doppler ultrasound is used for functional assessment. Recent advancements include functional magnetic resonance imaging and advanced Doppler software for demonstrating placental density and visualizing spiral arteries.
View Article and Find Full Text PDF[Analysis of 41 cases of myocardial infarction in children with coronary artery lesion after Kawasaki disease].
Zhonghua Er Ke Za Zhi
February 2025
Pediatric Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102 China.
To analyze the clinical characteristics,diagnosis and treatment of pediatric myocardial infarction (MI) patients with coronary artery lesions (CAL) after Kawasaki disease (KD). Clinical data including baseline characteristics, KD and CAL information, clinical symptoms at MI onset, electrocardiogram (ECG) and imaging findings, MI treatment, and clinical outcomes of 41 MI patients with CAL after KD admitted to the Children's Hospital of Fudan University from January 2017 to August 2024 were analyzed retrospectively. (1) Demographic characteristics: a total of 41 patients were included (36 males and 5 females).
View Article and Find Full Text PDFNovel Objective Tool to Assess Tremor Reveals Unilateral Focused Ultrasound Improves Tremor Bilaterally.
Neurol Ther
January 2025
Department of Neurology, Rambam Health Care Campus, Haifa, Israel.
Background: Tremor in essential tremor and in tremor-dominant Parkinson's disease is assessed by subjective observations in patients undergoing focused ultrasound thalamotomy, a minimally invasive procedure intended to alleviate tremor in these patients.
Objective: To develop an objective tool for tremor analysis to be used before and after focused ultrasound thalamotomy treatment in the treated hand (contralateral to ablation) and non-treated (ipsilateral to ablation).
Methods: Using image processing and signal processing that utilized images of a Archimedes spiral drawing, we created a tool to analyze tremor.
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model.
Neuroinformatics
January 2025
Department of Information Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India.
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.
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