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Medical Applications of II-VI Semiconductor-Based Radiation Detectors
Medical application, in particular nuclear medicine, is one of the most promising fields of application of II-VI semiconductor-based radiation...
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Stable perovskite single-crystal X-ray imaging detectors with single-photon sensitivity
A major thrust of medical X-ray imaging is to minimize the X-ray dose acquired by the patient, down to single-photon sensitivity. Such...
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Imaging
This chapter contains questions on X-rays, radiography, fluoroscopy, CT, PET/CT, MRI, and ultrasound. The questions and detailed answers are...
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Simulation of Medical Imaging Systems: Emission and Transmission Tomography
Simulation is an important tool in medical imaging research. In patient scans the true underlying anatomy and physiology is unknown. We have no way...
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Suitability of Latebra as a Skin Marker for Magnetic Resonance Imaging
Light-colored yolk material inside an egg shows higher magnetic resonance (MR) signals than surrounding material, which is termed the latebra, has...
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Optical Imaging Procedures
Diverse optical imaging procedures have been developed and applied successfully to biophotonics in research laboratories and clinical settings during...
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Full-Stokes Imaging Polarimetry Using Metasurfaces
Metasurfaces, which are composed of specially designed subwavelength phase-shifting elements arranged in a two-dimensional plane, have demonstrated...
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In vivo NIR-II fluorescence imaging for biology and medicine
Owing to reduced light scattering and tissue autofluorescence, in vivo fluorescence imaging in the 1,000–3,000-nm near-infrared II (NIR-II) spectral...
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Nanomaterials for Medical Imaging and In Vivo Sensing
Pre-clinical imaging is a technique that could help in investigating deep inside the rodents to obtain information regarding disease site and drug...
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Terahertz Imaging: Timeline and Future Prospects
Terahertz imaging is the science of imaging that uses terahertz radiation. Electromagnetic radiation between the frequency of 0.1 and 10 THz is...
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Quantum optics and channel coding in imaging: advancements through deep learning
In our relentless pursuit of improving healthcare and elevating wellness standards, we have unveiled a groundbreaking approach that amalgamates the...
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A double-tapered fibre array for pixel-dense gamma-ray imaging
Luminescence intensity in photodetectors, radiation imagers and light-emitting diodes is proportional to the thickness of the light-emitting layer....
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Quantum dot-enabled infrared hyperspectral imaging with single-pixel detection
Near-infrared (NIR) hyperspectral imaging is a powerful technique that enables the capture of three-dimensional (3D) spectra-spatial information...
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Medical Applications of Accelerated Ions
Accelerated ions have significant advantages for radiotherapy. From the physical side these are the inverse depth dose profile (the increase of the...
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Efficient classification of different medical image multimodalities based on simple CNN architecture and augmentation algorithms
Convolutional neural networks (CNN) are the best deep learning architecture to perform tumors classification for different imaging modalities: Us,...
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Optical medical equipment diagnosis and clinical efficacy of medication in the treatment of autoimmune thyroiditis
Autoimmune thyroiditis is a common thyroid disease, and its diagnosis and treatment need to be improved. The purpose of this study was to evaluate...
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Quantitative phase imaging with a compact meta-microscope
Quantitative phase imaging (QPI) based on the transport-of-intensity equation (TIE) is a powerful technique in label-free microscopy. The image stack...
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Adaptive Optical Imaging
Babkock proposed the use of a wavefront sensor to detect wavefront aberration information and then utilize deformable optical elements to generate...
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A new method for segmentation of medical image using convolutional neural network
The use of medical imaging, which is very popular today, is increasing daily, so a need is felt more than ever to obtain the approaches for the...
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Coincidence imaging for Jones matrix with a deep-learning approach
Coincidence measurement has become an emerging technique for optical imaging. Based on measuring the second-order coherence g 2 , sample features such...
