Groupwise registration of a set shapes represented by unlabeled point sets is challenging problem since, usually, this involves solving for correspondence in nonrigid motion setting. In paper, we propose novel and robust algorithm that capable simultaneously computing the mean shape, probability density function, from multiple sets(represented finite-mixture models), registering them nonrigidly to emerging shape. This avoids minimizing Jensen-Shannon (JS) divergence between as finite...

Magnetic resonance imaging (MRI) is a non-invasive medical technique that provides high-resolution 3D images and valuable insights into human tissue conditions. Even at present, the refinement of denoising methods for MRI remains crucial concern improving quality images. This study aims to improve prefiltered rotationally invariant non-local principal component analysis (PRI-NL-PCA) algorithm. We relaxed original restrictions using particle swarm optimization determine optimal parameters PCA...

Abstract Sepsis is known to cause damage the intestinal mucosa, leading bacterial translocation, and exacerbation of both local remote organ impairments. In present study, fecal samples were collected from septic healthy individuals. Analysis through 16s rRNA sequencing microbiota revealed that sepsis disrupts balance gut microbial community. Recent research has highlighted association lipid metabolism with disease. By analyzing metabolome, four metabolites showed significant differences...

Heart auscultation and ECG are two very important commonly used diagnostic aids in cardiovascular disease diagnosis. Physicians routinely perform diagnosis from simple heart visual examination of waveform shapes. It is common knowledge to physicians that patients with the same have similar-looking shapes comparable sounds. A key idea explored this paper automatically capture such shape similarity audio signals, which combined find similarity. Specifically, we present a general method...

Diagnostic decision support is still very much an art for physicians in their practices today due to lack of quantitative tools. AALIM a system cardiology that exploits the consensus opinions other who have looked at similar patients, present statistical reports summarizing possible diagnoses. The key idea behind our search patients based on underlying multimodal data. In this paper, we describe and similarity used cardiac data sets.

The deep learning method is an efficient solution for improving the quality of undersampled magnetic resonance (MR) image reconstruction while reducing lengthy data acquisition. Most methods neglect mutual constraints between real and imaginary components complex-valued k-space data. In this paper, a new convolutional neural network (CNN), namely, Dense-U-Dense Net (DUD-Net), proposed to interpolate reconstruct MR images. comprises dense layers, U-Net, other layers in sequence. are used...

Purpose: In the quest for a youthful appearance, women use variety of anti- aging cosmetics. Defining skin problems is especially important selection anti-aging solutions. However, faced by Chinese at different ages are different. This study aimed aged 20– 40 years old and analyzed facial characteristics those with old-perceived age. Patients Methods: The total 400 standard photographs from female volunteers was assessed another 126 women. areas that influenced age estimation were collected...

Flow Doppler imaging has become an integral part of echocardiographic exam. Automated interpretation flow doppler so far been restricted to obtaining hemodynamic information from velocity-time profiles depicted in these images. In this paper we exploit the shape patterns images infer similarity valvular disease labels for purposes automated clinical decision support. Specifically, model appearance same class as a constrained non-rigid translation transform velocity envelopes embedded The...

2D Echocardiography is an important diagnostic aid for morphological and functional assessment of the heart. The transducer position varied during echo exam to elicit information about heart function its anatomy. knowledge viewpoint in automatic cardiac interpretation understand regions being depicted as well quantification their attributes. In this paper, we address problem inferring from spatio-temporal videos. Unlike previous approaches, exploit motion within a cycle addition spatial...

Background Positron emission tomography (PET)/MRI combines the characteristics of metabolism imaging and high soft tissue resolution, could provide diagnostic efficacy for assessment pleural invasion (PI) lung cancer. Purpose To investigate application 18 F‐fluorodeoxyglucose (FDG) PET/MRI predicting PI cancer with maximum diameter ≤3 cm. Study Type Prospective. Population A total 44 patients non‐small cell (NSCLC), age from 39 to 79 years old, including 19 (56.82%) females. Field...

Abstract Epidemiological studies have indicated that ingestion of inorganic arsenic resulted in increased risks bladder cancer and chronic hyperproliferation could play a direct role the development cancer. This study examined effects arsenite on JAK2/STAT3 pathway expressions proliferation anti‐apoptosis factors. The results showed long term exposure to low doses enhanced human uroepithelial cells (SV‐HUC‐1 cells) BrdU positive rate was significant increased. mRNA protein factors, such as...

Despite of restoring epicardial infarct-related artery(IRA) patency after myocardial infarction, microvascular reperfusion were not achieved sometimes, and the deterioration perfusion persists in a considerable number patients. This phenomenon is known as obstruction (MVO). MVO often observed ST-Segment Elevation Myocardial Infarction(STEMI) patients, even if percutaneous coronary intervention (PCI) was successful. In addition, some evidence has indicated that presence predicted poor...

In this paper we present a method of simultaneous registration an entire sequence frames echocardiographic sequence. our approach, each echo frame is modeled using probability density function, and problem between all pairs formulated as the matching densities. An information-theoretic criterion called Jensen-Renyi divergence used to measure distance functions. The Renyipsilas Quadratic entropy results in closed- form solution for problem. Once are registered, temporal trajectories...

The purpose of this study was to analyse the differences on shooting score and technical parameters with 50 m rifle three positions, find key factors performance in international-level shooters. A SCATT MX-02 optoelectronic test system used collect variables. There a significant effect position performance, aiming accuracy, stability hold, triggering (ANOVA, position, p < 0.05). PCA identified four principal components from 8 variables, namely time. PCR indicated that these were able account...

With the transformation of biopsychosocial medical model, psychological problems and related interventions for breast cancer patients have received more attention. Patients often various problems, in diagnosis, treatment, even state disease-free survival, such as anxiety depression, which not only seriously reduces quality life, but also affects follow-up treatment increases risk recurrence metastasis. Therefore, physicians should perform routine screening appropriate intervention patients....

Abstract The coordinated development of regional ethnic traditional kinesiology and rural revitalization coupling is great significance in promoting the progress conventional sustainable countryside. In this paper, we use entropy weight TOPSIS, grey correlation, model to measure degree China’s regions from 2013–2019 further analyze driving factors behind it results show that two main subjects have gone being on verge dysfunction benign coordination, low-level resonance high-level synergy...

<title>Abstract</title> Allergic rhinitis (AR) has been rising globally in recent years, now affecting between 10-30% of the population. The condition frequently coexists with asthma, up to 40% AR patients experiencing asthma symptoms and 80% asthmatics reporting symptomatic AR. presence co-occurring exacerbates leading increased risks attacks, emergency visits, hospitalizations. This study aims identify key biomarkers for assessing comorbidities asthmatic improve treatment management...