Infrared imaging systems are crucial for guidance in supersonic vehicles due to all-weather capability, high resolution and high sensitivity. However, the imaging quality can be significantly impaired by aerodynamic thermal radiation noise. This paper incorporates cooling film that effectively eliminates the interference originating from supersonic thermal environments. A radiative transfer calculation framework that utilizes a high resolution line-by-line method for precise computation of radiative transfer from the target to the sensors of the imaging system is proposed. Heat flux across individual pixels indicates that the optical window serves as the primary source of interference within the 3 to 5 µm range. Additionally, the implementation of a cooling film significantly diminishes radiation noise, reducing interferences originating from both the optical window and the shock layer by an order of magnitude. Spectral analysis of the pixel's heat flux underscores the pivotal roles of CO and HO in the absorption and emission processes within radiative transfer, thereby complicating the observations of remote sensing. Contrasting with the traditional spectral band model, our methodology affords wavelength-specific visualization of radiative intensities for both target and interference signals. This enhanced spectral resolution provides a foundational reference for significant enhancements in both the clarity and accuracy of the imaging system.
Background And Purpose: Segmentation imperfections (noise) in radiotherapy organ-at-risk segmentation naturally arise from specialist experience and image quality. Using clinical contours can result in sub-optimal convolutional neural network (CNN) training and performance, but manual curation is costly. We address the impact of simulated and clinical segmentation noise on CNN parotid gland (PG) segmentation performance and provide proof-of-concept for an easily implemented auto-curation countermeasure.
The Iowa Test of Consonant Perception is a single-word closed-set speech-in-noise test with well-balanced phonetic features. The current study aimed to establish a U.K.
Objective: This study evaluated the effectiveness of laser Doppler flowmetry (LDF) in detecting perfusion disturbances during microvascular free tissue transfer.
Methods: Conducted at a single centre from December 2020 to September 2022, this prospective study involved 71 patients mainly undergoing head and neck free flap reconstructions, using the Pocket LDF™ for continuous perfusion monitoring.
Results: Out of the 71 cases, data from 69 cases were analysed after excluding those with significant noise or sensor detachment.
Purpose: To evaluate the image quality of an ultrafast cone-beam computed tomography (CBCT) system-Varian HyperSight.
Methods And Materials: In this evaluation, 5 studies were performed to assess the image quality of HyperSight CBCT. First, a HyperSight CBCT image quality evaluation was performed and compared with Siemens simulation-CT and Varian TrueBeam CBCT.
A new high-sensitivity, low-cost, Surface Enhanced Raman Spectroscopy (SERS) sensor allows for the rapid multiplex detection of foodborne pathogens in raw poultry. Self-assembled microspheres are used to pattern a hexagonal close-packed array of nanoantennas onto a side-polished multimode fiber core. Each microsphere focuses UV radiation to a photonic nanojet within a layer of photoresist on the fiber which allows the nanoantenna geometry to be controlled.
