Walking Through MRIs With A Vive

June 24, 2018 by Dan Maloney 10 Comments

If you were to make a list of the most important technological achievements of the last 100 years, advanced medical imaging would probably have to rank right up near the top. The ability to see inside the body in exquisite detail is nearly miraculous, and in some cases life-saving.

Navigating through the virtual bodies generated by the torrents of data streaming out of something like a magnetic resonance imager (MRI) can be a challenge, though. This intuitive MRI slicer aims to change that and makes 3D walkthroughs of the human body trivially easy. [Shachar “Vice” Weis] doesn’t provide a great deal of detail about the system, but from what we can glean, the controller is based on a tablet and Vive tracker. The Vive is attached to the back of the tablet and detects its position in space. The plane of the tablet is then interpreted as the slicing plane for the 3D reconstruction of the structure undergoing study. The video below shows it exploring a human head scan; the update speed is incredible, with no visible lag. [Vice] says this is version 0.1, so we expect more to come from this. Obvious features would be the ability to zoom in and out with tablet gestures, and a way to spin the 3D model in space to look at the model from other angles.

Interested in how the machine that made those images works? We’ve covered the basics of MRI scanners before. And if you want to go further, you could always build your own.

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MRI To 3D Print Gets Much Faster

June 15, 2018 by Al Williams 19 Comments

A surprising use of 3D printing has been in creating life-like models of human body parts using MRI or CT scans. Surgeons and other medical professionals can use models to plan procedures or assist in research. However, there has been a problem. The body is a messy complex thing and there is a lot of data that comes out of a typical scan. Historically, someone had to manually identify structures on each slice — a very time-consuming process — or set a threshold value and hope for the best. A recent paper by a number of researchers around the globe shows how dithering scans can vastly improve results while also allowing for much faster processing times.

As an example, a traditional workflow to create a 3D printed foot model from scan data took over 30 hours to complete including a great deal of manual intervention. The new method produced a great model in less than an hour.

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MRIs: Why Are They So Loud?

June 20, 2017 by Dan Maloney 117 Comments

My dad was scheduled for his first MRI scan the other day, and as the designated family technical expert, Pop had plenty of questions for me about what to expect. I told him everything I knew about the process, having had a few myself, but after the exam he asked the first question that everyone seems to ask: “Why is that thing so damn loud?”

Sadly, I didn’t have an answer for him. I’ve asked the same question myself after my MRIs, hoping for a tech with a little more time and lot more interest in the technology he or she uses to answer me with more than the “it’s the machine that makes the noise” brush-off. Well, duh.

MRI is one of those technologies that I don’t feel I have a firm enough grasp on, and it seems like something I should really be better versed in. So I decided to delve into the innards of these modern medical marvels to see if I can answer this basic question, plus see if I can address a few more complicated questions.

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Grace Hopper, Margaret Hamilton, Richard Garwin Named For Medal Of Freedom

November 17, 2016 by Mike Szczys 16 Comments

Somewhat hidden among athletes, actors, and musicians, three giants of technology have been aptly named as 2016 Presidential Medal of Freedom recipients. Grace Hopper, Margaret Hamilton, and Richard Garwin all made significant contributions to the technology that envelops our lives and embody the quest for knowledge and life-long self learning that we’d like to see in everyone.

Rear Admiral Grace Hopper’s legacy lies with the origins of computer science. She wrote the first compiler. In a time when computers were seen more as calculating machines than easily adaptable frameworks she looked to the future and made it happen. She continued to make huge contributions with lasting effect in developing COBOL, unit testing methods for programmers, and in education. We have long loved her explanation of a nanosecond (and why software engineers shouldn’t waste cycles) and was one of the first to program on the Harvard Mark I which can still be seen in the lobby of the school’s engineering building.

As Director of Apollo Flight Computer Programming, Margaret Hamilton is the driving force behind the software of Apollo. When the program started, she was Director of Software Engineering at MIT Instrumentation Laboratory. Originally there wasn’t a plan or budget for software in the space program. Hamilton built the program and led the team who wrote the software and turned it into punch cards to be fed into the computer. We enjoyed reading about some of her adventures during the Apollo project, her drive to develop pristine code is palpable. Over the past year we’ve marveled at the rope memory of the Apollo Guidance Computer and delighted when a hardcopy of AGC software showed up at a party. Her legacy at having written the code for the first portable computer — one that happened to land on the moon and return home safely — is incredible.

Physicist Richard Garwin’s name is most associated with the first hydrogen bomb design. But another part of his work is more likely to have directly touched your life: his research into spin-echo magnetic resonance helped lead to the development of Magnetic Resonance Imaging. MRIs have of course become a fundamental tool in medicine. Garwin studied under Fermi during his doctoral work — you may remember Fermi from our look at the Fermiac analog computer last year.

Congratulations to these three recipients, their recognition is incredibly well deserved. We’d love to hear about some of your own technology heroes. Let us know on the tips line so that we may help celebrate their accomplishment and inspire the next generation of giants.

Image Credits:

Photo of Grace Hopper By James S. Davis — Public Domain
Photo of Margaret Hamilton By Daphne Weld Nichols — CC-BY-SA 3.0
Photo of Richard Garwin by A.T. Service — CC-BY-SA 3.0

Hackaday Prize Entry: An MRI Machine

June 30, 2016 by Brian Benchoff 27 Comments

Magnetic resonance imaging devices are one of the most fantastically incredible machines humans have ever built. They’re capable of producing three-dimensional images of living tissue by flipping protons around with a magnetic field. Ninety percent of the population doesn’t know what that sentence means, yet you can find an MRI machine inside nearly any reasonably equipped hospital in America.

For his Hackaday Prize entry, [Peter Jansen] is building a magnetic resonance imager, capable of producing the same type of images you’d get from the radiology department at a hospital. It’s going to be a desktop unit, capable of scanning fruit and other similarly sized objects, and can be built using tools no more advanced than a hot air gun and a laser cutter.

This project is a continuation of what should have been [Peter]’s Hackaday Prize entry last year. Things got busy for him last summer, he dropped out of the Hackaday Prize, which means he’s welcome to continue his build this year.

Last year, [Peter] developed the plywood mechanism that would rotate a magnetic sensor across the diameter of the scanning volume, rotate the object to be scanned, and lift the object through the volume. It’s a weird 3-axis CNC machine, basically, but the parts near the magnetic sensor can’t be made out of metal. Dental floss worked okay, but we have a few hundred feet of Spectra fishing line if we ever bump into [Peter]. Magnetic resonance imaging means big coils of wire, too, which means the tedious task of winding coils around a cylinder is part of the build. [Peter] built a machine to do the work for him.

This is not [Peter]’s first attempt at building an imaging device. He built a desktop CT scanner that is exceptionally slow, but does shoot radiation through fruit to produce an image. His first project on Hackaday.io was the Open Source Science Tricorder, one of the top five finalists in the first year of the Hackaday Prize.

Already, [Peter] has some amazing work under his belt that produces real data that could not be otherwise obtained. An Open Source MRI is the perfect project for the Hackaday Prize’s Citizen Science phase, and we’re very happy to see him enter this project.

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This Is My 3D Printed Brain!

January 30, 2016 by Rud Merriam 25 Comments

This hack is a strange mixture of awesome and ghoulish. [Andrew Sink] created a 3D printed version of his brain. He received a CD from an MRI session that contained the data obtained by the scan. Not knowing what to do with it he created a model of his brain.

Out of a number of images, some missing various parts of his head, he selected the one that was most complete. This image he brought into OisriX, a Mac program for handling DICOM files. He worked on the image for an hour dissecting away his own eyes, skull, and skin. An STL file containing his brain was brought over to NetFabb to see how it looked. There was still more dissection needed so [Andrew] turned to Blender. More bits and pieces of his skull’s anatomy were dissected to pare it down to just the brain. But there were some lesions at the base of the brain that needed to be filled. With the help of [Cindy Raggio] these were filled in to complete the 3D image.

The usual steps sent it to the 3D printer to be produced at 0.2 mm resolution. It only took 49 hours to print at full-size. This brain was printed for fun, but we’ve seen other 3D printed brain hacks which were used to save lives. How many people do you know that have a spare brain sitting around?

You Own Your MRI Brainscan; Do Something Interesting With It

August 25, 2015 by Richard Baguley 46 Comments

The most complicated and fascinating gadget you will ever own is your brain. Why not pay tribute to this wonder by creating a 3D scale model that you can print yourself? If you have had a full-head MRI scan, it is simple to take this data and create a 3D model that you can print out on any 3D printer. Here’s how to print your brain.

To begin, you are going to need an MRI scan. Unfortunately, the low-field MRI that [Peter Jansen] is working on won’t quite cut it (yet): you’ll have to get the pros to do it. The type of scan also matters, because we want a scan that focusses in on the brain itself, not the bits around it. What type you get depends on what your doctor wants to know, as the radiologist can run a lot of different scans and analysis of the data to show different types of tissue. After looking through the scans that I got, I settled on one that was labelled eB1000i(BRAIN) With and Without Contrast. To a radiologist, that information means a lot, telling you what type of scan it is, and that it was done with a contrast agent, a metal dye that is injected to make water-rich tissues (like my brain) more visible. The number refers to something called the diffusion weighting, which helps the doctor look for swelling that can indicate things like strokes, tumors, etc. There’s a good guide to some of the jargon here.

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