To assess the impact of acquisition and reconstruction factors on robustness radiomics within photon-counting detector CT (PCD-CT). A phantom with twenty-eight texture materials was scanned different including reposition, scan mode (standard vs high-pitch), tube voltage (120 kVp 140 kVp), slice thickness (1.0 mm 0.4 mm), radiation dose level (0.5 mGy, 1.0 3.0 5.0 10.0 mGy), quantum iterative (0/4, 2/4, 4/4), kernel (Qr40, Qr44, Qr48). Thirteen sets virtual monochromatic images at 70-keV were...

To evaluate the robustness of radiomics features among photon-counting detector CT (PCD-CT) and dual-energy (DECT) systems.

Abstract This study aims to investigate the influence of adaptive statistical iterative reconstruction-V (ASIR-V) and deep learning image reconstruction (DLIR) on CT radiomics feature robustness. A standardized phantom was scanned under single-energy (SECT) dual-energy (DECT) modes at standard low (20 10 mGy) dose levels. Images SECT 120 kVp corresponding DECT kVp-like virtual monochromatic images were generated with filtered back-projection (FBP), ASIR-V 40% (AV-40) 100% (AV-100) blending...

Optical coherence tomography (OCT) suffers from speckle noise, causing the deterioration of image quality, especially in high-resolution modalities such as visible light OCT (vis-OCT). Here, we proposed an innovative self-supervised strategy called Sub2Full (S2F) for despeckling without clean data. This approach works by acquiring two repeated B-scans, splitting spectrum first repeat a low-resolution input, and utilizing full second target. The method was validated on vis-OCT retinal images...

The activity status of muscles in real-time should be obtained hand rehabilitation training to adjust the auxiliary grip-strength value with a good prediction model. Surface electromyography (sEMG) has great advantages reflecting human motions noninvasively. Therefore, based on sEMG, work proposed method optimizing support vector regression (SVR) model through Sparrow Search Algorithm (SSA). First, time domain characteristics were extracted from sEMG signals, and signals interpolated by...

Optical coherence tomography (OCT) suffers from speckle noise, causing the deterioration of image quality, especially in high-resolution modalities like visible light OCT (vis-OCT). The potential conventional supervised deep learning denoising methods is limited by difficulty obtaining clean data. Here, we proposed an innovative self-supervised strategy called Sub2Full (S2F) for despeckling without This approach works acquiring two repeated B-scans, splitting spectrum first repeat as a...

Abstract Optical coherence tomography (OCT) is a fast and non-invasive optical interferometric imaging technique that can provide high-resolution cross-sectional images of biological tissues. OCT’s key strength its depth resolving capability which remains invariant along the determined by axial resolution. The resolution inversely proportional to bandwidth OCT light source. Thus, use broadband sources effectively improve however leads an increased cost. In recent years, real-valued deep...

This study introduces an innovative optical coherence tomography (OCT) imaging system dedicated to high-throughput screening applications using ex vivo tissue culture. Leveraging OCT's non-invasive, high-resolution capabilities, the is equipped with a custom-designed motorized platform and detection ability for automated, successive across samples. Transformer-based deep-learning segmentation algorithms further ensure robust, consistent, efficient readouts meeting standards assays. Validated...

Visible light optical coherence tomography (vis-OCT) is gaining traction for retinal imaging due to its high resolution and functional capabilities. However, the significant absorption of hemoglobin in visible range leads pronounced shadow artifacts from blood vessels, posing challenges accurate layer segmentation. In this study, we present BreakNet, a multi-scale Transformer-based segmentation model designed address boundary discontinuities caused by these artifacts. BreakNet utilizes...

We demonstrated a unique monolithic integration of Fresnel elliptical zone plate (EZP) objective on 2-axis staggered vertical comb-drive micromirror with 500 μm by 800 surface area via direct patterning reflective binary phase modulation elements silicon chip. The need for focusing optics is thus obviated, simplifying the micro-endoscope assembly and improving its form factor. design EZP was guided simulations based FFT Rayleigh-Sommerfeld diffraction model. For dual-axis scanning angles up...

Optical coherence tomography angiography (OCTA), as a functional extension of optical (OCT), has exhibited great potential to aid in clinical diagnostics. Currently, OCTA still suffers from motion artifact and noise. Therefore, this article, we propose implement compressive sensing (CS) on B-scans reduce by increasing B-scan rate. Meanwhile, noise reduction filter is specially designed combining CS, Gaussian median filter. Specially, CS filtering realized averaging multiple repetitions...

Abstract Objectives Artificial dermal scaffold (ADS) has undergone rapid development and been increasingly used for treating skin wound in clinics due to its good biocompatibility, controllable degradation, low risk of disease infection. To obtain treatment efficacy, ADS needs be monitored longitudinally during the process. For example, scaffold‐tissue fit, cell in‐growth, vascular regeneration, degradation are key properties inspected. However, date, there no effective, real‐time,...

Visible light optical coherence tomography (vis-OCT) is gaining traction for retinal imaging due to its high resolution and functional capabilities. However, the significant absorption of hemoglobin in visible range leads pronounced shadow artifacts from blood vessels, posing challenges accurate layer segmentation. In this study, we present BreakNet, a multi-scale Transformer-based segmentation model designed address boundary discontinuities caused by these artifacts. BreakNet utilizes...

We introduce Freqformer, a novel Transformer-based architecture designed for 3-D, high-definition visualization of human retinal circulation from single scan in commercial optical coherence tomography angiography (OCTA). Freqformer addresses the challenge limited signal-to-noise ratio OCTA volume by utilizing complex-valued frequency-domain module (CFDM) and simplified multi-head attention (Sim-MHA) mechanism. Using merged volumes as ground truth, enables accurate reconstruction vasculature...

Optical coherence tomography (OCT) has been widely used in ophthalmology with its micron-resolution, depth-resolving capability imaging bio-tissues vivo. Recently, deep learning methods are emerging to achieve axial super-resolution (SR) OCT, aimed reduce the cost of broad-band light source. However, all those were developed based on real-valued networks, ignoring phase information complex-valued OCT image which contains structural information. In this study, we proposed a enhanced network...

The precise bagging of immature peaches by the fruit robot requires identification target young fruits as well acquisition their growth angles. network models employed in single detection algorithms exhibit complexity and pose challenges for deployment on mobile terminals they heavily rely availability labeled samples. A semi-supervised learning lightweight strategy based YOLOv8n-seg was proposed to identify posture work. Firstly, self-training method data enhancement were used generate...

Abstract The construction of circularly polarized luminescence (CPL) materials through self‐assembly chiral macrocycles has garnered significant attention. However, controlling their nanostructure morphology and understanding chirality amplification mechanisms remain challenging. Here, a series macrocyclic homologs containing varying numbers binaphthyl units (binaphthyl[n]arene, denoted as n , = 2–5) are synthesized in single‐step reaction. All exhibited CPL, with stronger observed smaller...

In this paper, a novel integrated scheduling problem for intelligent regional grid (IRG) is introduced. It comprehensively determines the on-off state of PVs and wind fans as well quantity adjustable user load, main injection charge/discharge power storage units. Three optimization objectives are considered separately, i.e., to maximize net income grid, minimize load fluctuating efficiency renewable resources. addition, differential evolution (DE) based solution algorithm presented solve...

The maximum temperature inside a cement kiln is critical operating parameter, but often difficult or impossible to measure. We present here the first data that show correlation between measured using microwave radiometer and product chemistry over an eight-hour period. senses radiation in 12-13 GHz range has been described previously [Stephan Pearce (2002), JMPEE 37: 112-124].