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Chip-integrated metasurface full-Stokes polarimetric imaging sensor
Polarimetric imaging has a wide range of applications for uncovering features invisible to human eyes and conventional imaging sensors....
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Radiation-Based Medical Imaging Techniques: An Overview
This chapter will present an overview of two radiation-based medical imaging techniques using radiopharmaceuticals used in nuclear medicine/molecular...
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Patient Radiation Dose from Medical Diagnostic Imaging Procedures in 2018
This article contains information on the structure and number of medical radiological imaging procedures by type and organ group and the collective...
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Design and development of a new metamaterial sensor-based Minkowski fractal antenna for medical imaging
The metamaterial sensor antenna is numerically designed to detect breast cancer using breast cancer cell lines, especially relying on the electrical...
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Neutron Imaging Basics, Techniques and Applications
This book comprehensively presents the concepts of neutron physics and imaging including neutron properties, neutron matter interaction, neutron...
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Spatial Frequency Domain Imaging
In this chapter, we will cover the principles of operation of spatial frequency domain imaging techniques and how this modality has been applied to...
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Photoacoustic Imaging of Breast Cancer
Photoacoustic imaging is a noninvasive biomedical technique that enables the detailed depiction of blood vessels without radiation exposure by...
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Low-Field MR Imaging
Due to the recent technical advances in both software and hardware, low-field magnetic resonance imaging (MRI) systems are experiencing a...
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Near-infrared II fluorescence imaging
Fluorescence imaging in the second near-infrared (NIR-II) window enables deep-tissue imaging with high resolution and improved contrast by taking...
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Evaluation and Image Quality in Radiation-Based Medical Imaging
In this chapter, we present methods for assessing image quality in radiation-based medical imaging. Image quality is defined by the ability of an...
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Label-free biomedical optical imaging
Label-free optical imaging employs natural and non-destructive approaches to visualize biomedical samples for both biological assays and clinical...
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Metasurface-enabled single-shot and complete Mueller matrix imaging
When light scatters off an object, its polarization, in general, changes—a transformation described by the object’s Mueller matrix. Mueller matrix...
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Introduction to Terahertz Imaging Applications
Terahertz (THz) waves have been largely unused due to the scarcity of sources and detectors in this region. The non-ionising nature of the beam...
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Super-Resolution of Active Terahertz Imaging via SRGAN
Due to the absence of ionizing radiation, terahertz waves hold great potential for applications in human security inspection. However, accurate...
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Millimetre-deep micrometre-resolution vibrational imaging by shortwave infrared photothermal microscopy
Deep tissue chemical imaging has a vital role in biological and medical applications. Current approaches suffer from water absorption and tissue...
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Medical image enhancement algorithms using deep learning-based convolutional neural network
The reliable detection of diseases using deep learning-based medical image fusion (DLMIF) is a common practice nowadays. The performance of DLMIF...
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Terahertz cancer imaging and sensing: open research challenges and opportunities
There has been a rapid development of THz technology—sources, detectors and various THz imaging and sensing techniques. The THz technology...
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Hybrid PET/Compton-camera imaging: an imager for the next generation
Compton cameras can offer advantages over gamma cameras for some applications, since they are well suited for multitracer imaging and for imaging...
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THz Nondestructive Imaging for Historical Arts
Since historical artworks are unique, nondestructive and noncontact measurements are desired in the field of heritage science. Thus, electromagnetic...
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Improving traditional method used for medical image fusion by deep learning approach-based convolution neural network
In the fields of pattern recognition and image processing, deep learning (DL) technology has been intensively studied. According to the...
