Join us to learn how to run 4D CT experiments, explore the applications of CT in forensics, and review the distinctions between voxel size and resolution.
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September, 2025 Issue 43

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"If you’re too open-minded, your brains will fall out."

(Scroll to the bottom for the answer.)

 

This quote made me pause. I thought open-mindedness was a good thing, but I suppose you can be too open-minded. To form an opinion or build a theory in science, you need to anchor yourself somewhere to get started.

Webinar series: Mastering CT: Advanced Techniques in Practice

 

The third episode of Mastering CT: Advanced Techniques in Practice focuses on 4D structure study, also known as time-resolved CT analysis. We will go live on Wednesday, October 15, at 10:00 am CDT.

 

When things break due to external forces, such as stress, observing the process in real-time can provide valuable insights into how they break. For example, if you can collect CT scans while a 3D printed part breaks under pressure, you might be able to answer questions like, "Do the cracks start at the surface or internal pores?" or "How do the size and location of pores affect the strength of the part?"

 

In this webinar, Ted will demonstrate how to run time-resolved (4D) experiments using in situ compression and how to link structural changes with mechanical behavior.

 

You will learn:

  • How to set up and run in situ experiments with X-ray CT
  • Ways to capture 4D data during mechanical testing
  • How to analyze structural changes over time and correlate them with material behavior
  • Example use cases using an in-situ compression stage

Join us to learn how to run 4D CT experiments and get the useful insight.

Register for the webinar
Mastering CT Episode 3 4D Structure Study registration banner

CT in Forensics: Not Just for the Living

 

I always thought medical CT was used only for live patients, but it’s also used for forensic work. CT provides a non-destructive 3D scan of a body or a virtual autopsy and helps investigators localize bullet fragments, map wound paths, measure bones for forensic anthropology, and provide digital images for legal documentation.

 

The review article "Forensic applications of micro‑computed tomography: a systematic review" by Franchetti et al., published in 2022, reports the results the authors assembled from 651 records over a wide range of CT applications in forensics.

 

Micro-CT is used to characterize skeletal injuries, providing information regarding the cause of the injuries and the past injuries that might not be apparent on the surface. Micro-CT also enables detailed analysis of a gunshot wound, providing information about the velocity of the bullet at the time of impact. Identification of tools used, anthropological investigation, estimation of post-mortem interval, are other areas in which CT is used, to name a few.

 

The review article is open access. You can see the original here: https://doi.org/10.1007/s40336-022-00510-y

Forensics 1200 AS_560984406

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To be efficient, inspired, and informed.

 

When choosing the right CT scanner for your sample or research, the resolution of the instrument is one of the most important specifications to check. However, this is one of the most elusive things to figure out. Why is that?

 

Voxel size and resolution are terms often used interchangeably in X-ray CT, but they’re not the same thing. This is a big part of the reason why the resolution of a given CT scanner is hard to figure out.

 

Let’s quickly review what each term means and why the distinction matters.

 

What is voxel size?
Voxel size is the 3D equivalent of pixel size. It’s determined by the detector pixel size, the scan geometry (source-to-detector and source-to-object distances and lens magnification when a lens is used), and reconstruction settings. A smaller voxel size means the object is sampled more finely, but that alone doesn’t guarantee higher resolution.

 

Additionally, when selecting a CT scanner, note that the voxel size depends on the FOV (field of view). Large FOV limits the achievable voxel size.

 

What is resolution?
Resolution is the ability of the system to distinguish two separate features. They could be two objects close to each other or one small thing and the background. The voxel size needs to be half or smaller than the feature size in a cross-section to see that it is there. The smallest thing you can see practically defines the spatial resolution, and it is always more than double the voxel size.

 

Furthermore, while voxel size is rather simply defined by the magnification factor, detector pixel size, and reconstruction settings, resolution is affected by many factors, such as X-ray source spot size, point spread function of the detector, mechanical stability of the scanner and the sample, contrast, signal-to-noise ratio, and reconstruction algorithms. This is why reducing voxel size alone doesn’t always improve effective resolution.

 

A practical rule of thumb:
For general imaging, the achievable resolution (spatial resolution) is typically about two times larger than the voxel size. Using a voxel size of 1/5 to 1/10 of the size of the feature you want to resolve is recommended.

 

In metrology applications, specialized surface determination methods are often used to achieve higher resolution from a limited voxel size. For example, using locally adjusted ISO-50 surface determination, dimensional accuracy can reach about 1/10 of the voxel size.

 

How to think about it:

  • Voxel size = size of the "grid"

  • Resolution = how finely you can truly see details.

To evaluate a CT scanner's resolution, pick a representative sample and define the FOV. Check the smallest voxel size achievable on the machine by magnification (not by reconstruction) for that FOV. Multiply that number by 2. That is the spatial resolution. Multiply that voxel size by 5 to 10. That is the smallest feature or "thing" you can see.

 

To learn more, you can check out the blog articles and on-demand webinars below:

  • How to Improve the Resolution of X-ray CT Images
  • Voxels to Mesh Data to Simulation – How to Use CT for Metrology and Simulations
  • X-ray Computed Tomography for Materials & Life Sciences #8. Metrology Applications

 

Real Scientists, Not Actors

A collection of priceless and embarrassing moments curated by Sam Robles.

CT_imaging_email_bloopers
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500px-Gilbert_Chesterton

Gilbert Keith Chesterton

English author, philosopher, Christian apologist, poet, journalist and magazine editor, and literary and art critic (29 May, 1874 – 14 June, 1936)

 

I should note that this quote is widely attributed to G. K. Chesterton, but there’s no verified source for it in his published works.

 

"If you’re too open-minded, your brains will fall out."

That's a wrap. Please let us know how we can help you learn more about X-ray CT. We love to hear from you!

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Aya Takase

Head of Global Marketing Communications

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