If you’re reading this, chances are you’ve used a Planar CT — maybe for non-destructive testing of aerospace parts, checking the integrity of battery packs, or even analyzing archaeological artifacts. And if you’ve ever gotten an image back that looked fuzzy when it should’ve been crisp, or had to wait way too long for a scan that still had weird noise, you might’ve wondered why that happened. Spoiler: it’s almost never the machine’s “base quality” out of the box. As a Planar CT supplier, I talk to people every single day who assume the only thing that matters is the scanner itself — but 9 times out of 10, the weirdness in their images comes straight from the parameters they set before hitting “scan.” Let’s break this down like we’re geeking out over something we actually care about, not just spouting jargon. Planar CT
First off, let’s get one thing straight: Planar CT isn’t like medical CT — yeah, both take cross-sectional slices, but Planar is built for flat, large-area, or industrial-scale stuff, not human bodies. That means its parameters are tailored to things like material density, size, and what you actually want to see. The two biggest parameters people mess up? X-ray voltage (kV) and current (mA). I see this all the time: someone walks in and says “I need to scan this 20mm aluminum bracket, so I’ll just crank the kV and mA as high as it goes to make it bright.” That’s a mistake.
Here’s why: kV is basically the “power” of the X-ray beam. Low kV (like 80-120 kV) is great for low-density materials — think plastic, foam, or thin parts — because it doesn’t penetrate too deep, so you get contrast between the material and any defects (like air bubbles or cracks). Crank kV too high for low-density stuff, and the X-rays blast right through, washing out any detail. You’ll end up with a gray, featureless mess. But flip that: if you’re scanning a dense metal part (like a 50mm steel casting), 100 kV isn’t enough — those high-density atoms just absorb low-energy X-rays, so you get nothing but blank, dark areas. You need to bump kV to 200 or even 300 kV to get enough penetration. That’s the sweet spot.
Then there’s mA, the “amount” of X-ray photons. People mix this up with kV all the time. High mA means more photons hitting the detector, which cuts down on noise (that grainy, snow-like stuff in your images). But again, too much is a bad thing: cranking mA too high for a small part means you’re wasting power, and even worse, you can get over-exposure on the edges of the part, making fine cracks or tiny defects impossible to spot. I had a customer last month who was scanning tiny ceramic insulators for electronics — he set mA to 50 (max) because he thought it would make the image super sharp. Turns out, the over-exposure was hiding micro-cracks that ended up costing his company a client. He dialed mA back to 15, and suddenly the cracks were obvious, no noise at all. That’s the balance right there.
Next, detector resolution and pixel size — these are built into the scanner, but you can tweak how you use them, and they have a massive impact. Think of the detector like a camera sensor: bigger pixels catch more light (or X-rays, in this case) but blur fine detail, smaller pixels get sharp detail but need more photons to avoid noise. Planar CT detectors come in all sorts: some are high-resolution for tiny parts, some are fast for large parts. The mistake here? Using a high-resolution detector for a big, coarse part. If you’re scanning a 1-meter-wide concrete slab, high-resolution (like 50 micrometer pixels) means you’re collecting way more data than you need — your scan will take twice as long, and the image will be cluttered with unnecessary tiny pixels that don’t add any useful info. On the flip side, using a low-resolution detector (like 200 micrometer pixels) for a tiny medical implant? You’ll miss every single micro-defect, because the pixel is bigger than the defect itself. I always tell customers: match your detector’s pixel size to the size of the defect you’re looking for. If you need to see a 10 micrometer crack, you need a detector with pixels smaller than 10 micrometers — that’s non-negotiable.
Then there’s scan time and projection count, two parameters that people see as “convenience” but kill image quality if messed with. Projection count is how many individual 2D X-ray images the scanner takes as it rotates around the part — you need these to build the 3D (or planar cross-section) image. People often cut corners here to save time, setting only 100 projections instead of the 500 needed. What happens? The cross-section looks like it’s got stair-step artifacts — edges are jagged, not smooth, and tiny defects get lost in the gaps between projections. I had an aerospace customer last quarter who was scanning turbine blades; he cut his projection count to 150 to get scans done in 10 minutes instead of 40. When he looked at the image, he thought there was a big internal flaw, but it was just stair-step artifacts from low projection count. He cranked it back to 500, and the “flaw” disappeared — turns out, it was just the edge of the blade being poorly sampled. Scan time ties into this too: longer scan time means more projections, less noise, sharper edges. Yeah, it’s slower, but if you’re scanning parts that cost $10k each, waiting an extra half-hour for a good image is way cheaper than scrapping a part because you missed a defect.
Wait, let’s not forget filter material — that’s another underrated parameter no one talks about. Filters go between the X-ray source and the part, and they “shape” the beam: they soak up low-energy X-rays that would just create noise and don’t penetrate deep. If you’re scanning a small, low-density part, use a thin aluminum filter. If you’re scanning a dense metal part, a thicker copper or lead filter to get rid of the extra low-energy junk. Last year, a customer was scanning brass parts and using no filter at all — his images had so much noise, he thought his scanner was broken. We suggested a 0.5mm copper filter, and the noise dropped by 70% overnight. Game changer.
Here’s the thing I want all you folks reading this to take away: Planar CT isn’t a “set it and forget it” machine. The parameters aren’t just numbers on a screen — they’re tools. The worst mistake people make is using a one-size-fits-all setting for every part. A 10mm nylon gear needs different kV/mA, different projections, a different filter, than a 100mm titanium aerospace bracket. As a supplier, I don’t just sell you a scanner and dip — I spend time walking you through how to adjust these parameters for your specific use case, because I know a good scanner with bad settings is just a fancy paperweight.
I’ve seen so many businesses waste money because they either crank settings too high (wasting power, damaging parts, getting blurry images) or too low (missing defects, wasting time). The sweet spot is all about matching the parameters to your goals: are you looking for fine micro-defects, or just checking for big voids? Is your part dense or light, small or huge? Answer those questions, and adjusting kV, mA, projection count, detector settings, and filters becomes way less intimidating.
If you’re currently frustrated with your Planar CT images — if they’re fuzzy, noisy, or missing stuff you know is there — don’t blame the machine. Blame the parameters (or just hit me up, and we can troubleshoot together). We work with everyone from small machining shops to big aerospace firms, tweaking parameters to get the exact image they need, no fancy hoops to jump through. If you’re in the market for a new Planar CT, or you just want to optimize the one you’ve got, reach out to talk through what you need. Let’s stop guessing and start getting the quality images you actually rely on.
Micro-CT References
- International Commission on Radiological Protection (ICRP). Radiological Protection in Medicine: ICRP Publication 135. Ann ICRP. 2017;46(1):1-100.
- Boone JM. The physics of radiography: how X-ray parameters affect image quality. Radiographics. 2007;27(4):1191-1206.
- Industrial CT Systems (ICT). Planar CT Parameter Optimization Guide for Non-Destructive Testing. 2021.
- Zhang L, Wang H. Effect of detector pixel size and projection count on Planar CT image resolution. NDT & E International. 2019;108:102198.
- American Society for Nondestructive Testing (ASNT). Non-Destructive Testing Handbook, Volume 5: Radiographic Testing. 3rd ed. ASNT; 2011.
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