Can Ruby Read an X-Ray? Building a Medical Image Processor.

When I built ruby-libgd I included Sobel edge detection, Laplacian filter, Gaussian blur, and custom convolution as native C bindings. I knew those filters would be useful someday.

Turns out medical imaging is exactly that use case.

Full article with code and Jupyter notebook below.

https://rubystacknews.com/2026/03/23/can-ruby-read-an-x-ray-building-a-medical-image-processor/

#Ruby #MedicalImaging #DataScience #RubyDev #ImageProcessing

Can Ruby Read an X-Ray? Building a Medical Image Processor

Can Ruby Read an X-Ray? Building a Medical Image Processor March 23, 2026 Published on RubyStackNews Nobody expects Ruby to process medical images. That is exactly why I tried it. This article is a…

Linking Ruby knowledge from the most remote places in the world.

The career path in medical imaging goes much further than most people realise.

Chaundria Singleton explains how medical imaging has opened doors for mentors and managers alike. She shares a story from a former manager who went from being an imaging technologist to the operations manager of a major children's hospital.

Don't let anyone tell you that you're "just a tech." The scope for growth in this field is huge. 🏥

#MedicalImaging #RadTech #CareerAdvancement #Healthcare #ScienceCommunication #Podcast

Watch, listen, or read the full episode at: https://steampoweredshow.com/shows/chaundria-singleton

DATE: March 19, 2026 at 05:43PM
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Is AI replacing the work of skilled radiologists? They give us their thoughts | The-14

Radiologists explain how AI assists medical imaging without replacing experts yet, improving detection and workflow while raising new questions about skills

The-14 Pictures

Prototypes for medical navigation often require complex hardware and software setups. Students at THU have developed a Java-based example that can be easily compiled. It is built using Gradle and can be connected to other tools such as MITK-IGT or PLUS via OpenIGTLink. At BVM they demonstrated a use case for stroke research: A catheter in a brain vessel dummy was localized using AI in simulated fluoroscopy images and navigated to a target.

https://github.com/NAMI-THU/IGTPrototypingTool

#MedicalImaging

A good prosthetic fit is crucial for comfort and mobility, but measuring the exact anatomical shape of a residual limb is still challenging. A group of THU students investigated 3D reconstruction of residual limbs using freehand ultrasound and a liner with integrated fiducial markers, all without external tracking. Interested? Read the BVM paper or visit poster P13 at this year’s BVM workshop.

https://link.springer.com/chapter/10.1007/978-3-658-51100-5_37

#MedicalResearch #MedTech #Prosthetics #MedicalImaging #Ultrasound

Did you know that there is overlap between what radiologic technologists and nurses are trained to do? It's not just about taking x-rays.

Chaundria Singleton explains how radiologic technologists need to understand how your body, medical devices, and medications react with medical imaging processes to be able to support you on your healthcare journey.

Watch, listen, or read the full conversation here: https://steampoweredshow.com/shows/chaundria-singleton

#MedicalImaging #RadTech #RadTechIsSTEM