Longitudinal X-ray Imaging
Longitudinal X-ray Imaging - Related Videos
07:54
Preparing Adherent Cells for X-ray Fluorescence Imaging by Chemical Fixation
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Cited by 14 •
2015
Here, we present a protocol on how to determine the quantity and distribution of metals in a sample using synchrotron X-ray fluorescence. We focus on adherent cells, and describe the chemical fixation method to prepare this sample. We then describe how to mount and image the sample using synchrotron X-rays.
10:39
Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
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Cited by 10 •
2016
The measurement protocol and data analysis procedure are given for obtaining transverse coherence of a synchrotron radiation X-ray source along four directions simultaneously using a single 2-D checkerboard phase grating. This simple technique can be applied for complete transverse coherence characterization of X-ray sources and X-ray optics.
01:24
X-ray Imaging
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2023
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
08:30
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
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Cited by 2 •
2011
We are developing a dynamic adaptive exposure technique using our scanning beam digital X-ray system. Rather than exposing an object uniformly, the exposure is adapted depending on the opacity of the object. Here we show an experiment on an anthropomorphic phantom that resulted in a dose saving of 30%.
11:26
Real-time X-ray Imaging of Lung Fluid Volumes in Neonatal Mouse Lung
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Cited by 1 •
2016
We present a protocol to assess the rate of alveolar fluid clearance or pulmonary edema in neonatal mouse lung using X-ray imaging technology.
FAQs
Consistent positioning and exposure make radiographs from different examinations more comparable. If the body is positioned differently or the exposure changes, image features may vary even when anatomy has not. Standardization therefore helps clinicians attribute meaningful differences to biological change, disease progression, healing, or treatment response rather than to technical variation between examinations.
Tissues absorb X-rays differently, creating image features that can be examined across examinations. When these features change between standardized radiographs, the comparison may reveal anatomical or disease-related changes. This relationship between tissue absorption and visible image patterns provides the physical basis for assessing progression, healing, or response to treatment over time.
A single radiograph shows findings at one point, whereas a series can reveal their direction over time. The trajectory may show whether an abnormality is changing, remaining stable, healing, or responding to treatment. This additional context supports more informed diagnosis and prognosis because clinicians can evaluate trends rather than interpret an isolated image alone.
The workflow begins with an initial radiograph, followed by repeat examinations at later time points. Each study should use consistent positioning and exposure so corresponding anatomical features can be compared. Clinicians then assess differences across the image series, relating observed changes to disease progression, healing, treatment response, or the status of an implanted device.
Repeated radiographs can support monitoring of fractures, lung disease, tumors, and implanted devices. In fractures, comparisons can help evaluate healing; for lung disease or tumors, they can show changing findings over time. Device-focused imaging can help assess changes involving an implant. These uses make serial comparison relevant across several areas of clinical care.
Changes observed across serial images can help clinicians judge whether a condition is progressing, healing, or responding to treatment. That information contributes to diagnosis, prognosis, and evaluation of treatment outcomes. By adding temporal context to anatomical findings, the approach supports clinical decision-making that is informed by the patient’s course rather than by a single examination.