TL;DR: A definition of local band-limited contrast in images is proposed that assigns a contrast value to every point in the image as a function of the spatial frequency band and is helpful in understanding the effects of image-processing algorithms on the perceived contrast.
Abstract: The physical contrast of simple images such as sinusoidal gratings or a single patch of light on a uniform background is well defined and agrees with the perceived contrast, but this is not so for complex images. Most definitions assign a single contrast value to the whole image, but perceived contrast may vary greatly across the image. Human contrast sensitivity is a function of spatial frequency; therefore the spatial frequency content of an image should be considered in the definition of contrast. In this paper a definition of local band-limited contrast in images is proposed that assigns a contrast value to every point in the image as a function of the spatial frequency band. For each frequency band, the contrast is defined as the ratio of the bandpass-filtered image at the frequency to the low-pass image filtered to an octave below the same frequency (local luminance mean). This definition raises important implications regarding the perception of contrast in complex images and is helpful in understanding the effects of image-processing algorithms on the perceived contrast. A pyramidal image-contrast structure based on this definition is useful in simulating nonlinear, threshold characteristics of spatial vision in both normal observers and the visually impaired.
TL;DR: The strong relationship between absorption and atomic number is of significant importance in clinical applications and the Z4 factor allows for contrast levels of several orders of magnitude between different tissues and types of contrast agents.
Abstract: X-ray computed tomography (CT) is a well-established tissue imaging technique employed in a variety of research and clinical settings.1 Specifically, CT is a non-invasive clinical diagnostic tool that allows for 3D visual reconstruction and segmentation of tissues of interest. High resolution CT systems can be used to perform non-destructive 3D imaging of a variety of tissue types and organ systems, such as: the gastrointestinal tract, cardiovascular system, renal tract, liver, lungs, bone, cartilage, tumorous tissue, etc. CT is one of the most prevalent diagnostic tools in terms of frequency-of-use and hospital availability.2 The use of CT is on the rise and the number of clinical CT scanners in operation worldwide is estimated at over 45,000.1b Today, over 70 million clinical CT scans are performed yearly in the U.S. alone. For a recent detailed analysis of the use of clinical CT imaging and data regarding the number of regular and contrast-enhanced CT scans performed annually in the U.S. we refer the reader to the “Nationwide Evaluation of X-ray Trends” survey published by the Conference for Radiation Control Program Directors (CRCPD).3
The idea of using tomography (Greek: tomos = slice, graphein = draw) as a diagnostic tool in medicine was adopted soon after the discovery of X-rays by W. C. Roentgen in 1895. However, several more decades passed before the technology advanced sufficiently to bring those ideas to fruition. The first successful CT imaging device was built in 1972 by G. N. Hounsfield, at Electric and Musical Industries Ltd. In 1979, G. N. Hounsfield and South African physicist A. M. Cormack shared a Nobel Prize in medicine for their contributions to the field of X-ray CT imaging and diagnostics.4
X-rays are a form of electromagnetic radiation with wavelengths roughly between 0.01 nm and 10 nm. Traditionally, X-rays are generated by a vacuum tube using high voltage to accelerate electrons from a cathode to a (usually) tungsten-alloy anode. In the process, the accelerated electrons release electromagnetic radiation in the form of X-rays and the maximum energy of the radiation is limited by the energy of the incident electron. Operating voltages of modern clinical CT scanners differ among instrument models and manufacturers, but generally fall between 80 kVp to 150 kVp.
As a rule, materials possessing higher density (ρ) or high atomic number (Z) tend to better absorb X-rays. The relationship is best expressed in the formula for X-ray absorption coefficient (μ):
μ≈ρZ4AE3
(1)
where “A” is the atomic mass and “E” is the X-ray energy. The strong relationship between absorption and atomic number is of significant importance in clinical applications. The Z4 factor allows for contrast levels of several orders of magnitude between different tissues and types of contrast agents.
When an incident X-ray has energy equal or slightly greater than the binding energy of the K-shell electron of the atom, a large sudden increase in absorption coefficient is observed. This energy value is known as absorption edge (k), and the k value increases with atomic number of the element. Consequently, X-ray attenuating contrast media containing atoms of high atomic number (most commonly iodine or barium), are frequently used in clinical settings to obtain images of soft tissues. To generate images with the highest contrast to the surrounding tissue, the energy of the X-ray source can be adjusted to closely match the absorption edge value (k) of the relevant imaging-agent atoms (i.e., iodine, barium, gold, etc.). Thus, it is also possible to do selective X-ray imaging and to differentiate between attenuating materials by fine tuning the energy source to the appropriate absorption edge value.
A CT image is obtained by rotating an X-ray source around an object, with a detector positioned directly opposite the radiation source. Alternatively, in many preclinical CT scanners the object sometimes is rotated around its own axis. Such preclinical scanners are often being used for small animal in vivo imaging. Generally, X-ray scans are taken at small angular increments during rotation around the object over 360°. A series of attenuation profiles or projections is thus obtained. The projections are then processed mathematically to create a 3D rendition of the scanned object. An in depth description of the engineering principles underlying modern CT imaging instruments is beyond the scope of this manuscript, and the reader is referred to other published works.1c,5
A diagnostic imaging method related to CT is X-ray fluoroscopy. Fluoroscopy allows for the acquisition of real-time, continuous images of the internal organs. Like in CT, imaging agents are often used in fluoroscopy for better contrast resolution. Small iodinated agents are commonly injected into blood vessels for use in fluoroscopic angiography, allowing for the evaluation of blood flow and visualization of the vasculature system, while barium contrast media are introduced orally or with an enema to investigate the anatomy (and pathology) of the gastrointestinal tract.
The introduction of magnetic resonance imaging (MRI) resulted in a loss of interest and reduction in CT contrast agent development throughout the 1980s. However, advances in computer technology, and the introduction and widespread adoption of spiral-CT in the mid-1990s have sparked a revival of interest in CT imaging and CT contrast media. Current clinical CT scanners are capable of acquiring high resolution 3D isotropic images of the body within several minutes. CT imaging today is less time consuming, less expensive, and more readily available than other medical imaging technologies such as MRI and positron emission tomography (PET). In the last several years, the emergence of novel technologies such as dual-source CT, and multi-detector CT has advanced the field of CT imaging even further. As a comparison to X-ray imaging diagnostic methods, PET imaging employs gamma-ray emitting radioactive nuclei “tracers” as contrast agents while MRI takes advantage of nuclear magnetic resonance principles by applying high magnetic fields to align magnetization of certain atomic nuclei. In contrast to CT and PET imaging, MRI uses no ionizing radiation and it is therefore often deemed safer than the other two.
TL;DR: In this paper, the authors extended the ultrasound speckle tracking method to allow measurement of internal displacement and strain fields over a wide dynamic range of tissue motion, which should lead to enhanced contrast resolution in strain and elasticity images.
Abstract: Previous ultrasound speckle tracking methods have been extended, permitting measurement of internal displacement and strain fields over a wide dynamic range of tissue motion. The markedly increased dynamic range of this approach should lead to enhanced contrast resolution in strain and elasticity images. Results of experiments on gelatin-based, tissue equivalent phantoms show the capabilities of the method. >
TL;DR: Volunteer and patient images obtained by using reference data taken before or well after contrast agent injection show that imaging can be usefully accelerated severalfold and the method is believed to be compatible with other acceleration methods such as half‐Fourier reconstruction and reading of more than one line of k space per excitation.
Abstract: Magnetic resonance (MR) imaging methods with good spatial and contrast resolution are often too slow to follow the uptake of contrast agents with the desired temporal resolution. Imaging can be accelerated by skipping the acquisition of data normally taken with strong phase-encoding gradients, restricting acquisition to weak-gradient data only. If the usual procedure of substituting zeros for the missing data is followed, blurring results. Substitutinit instead reference data taken before or well after contrast agent injection reduces this problem. Volunteer and patient images obtained by using such reference data show that imaging can be us~eiklly accelerated severalfold. Cortical and medullary regions of interest and whole kidney regions were studied, and both gradientanld spin-echo images are shown. The method is believed to be coimpatible with other acceleration methods such as half-Fourier reconstruction and reading of mare than one line of k space per excitation.
TL;DR: Multi-element synthetic aperture imaging methods suitable for applications with severe cost and size limitations are explored in this article, where each method uses different spatial frequencies and acquisition strategies for imaging, and therefore different sets of active transmit/receive element combinations.
Abstract: Multi-element synthetic aperture imaging methods suitable for applications with severe cost and size limitations are explored. Array apertures are synthesized using an active multi-element receive subaperture and a multi-element transmit subaperture defocused to emulate a single-element spatial response with high acoustic power. Echo signals are recorded independently by individual elements of the receive subaperture. Each method uses different spatial frequencies and acquisition strategies for imaging, and therefore different sets of active transmit/receive element combinations. Following acquisition, image points are reconstructed using the complete data set with full dynamic focus on both transmit and receive. Various factors affecting image quality have been evaluated and compared to conventional imagers through measurements with a 3.5 MHz, 128-element transducer array on different gel phantoms. Multielement synthetic aperture methods achieve higher electronic signal to noise ratio and better contrast resolution than conventional synthetic aperture techniques, approaching conventional phased array performance. >