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Architecting New Dimensions of Medical Imaging

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Architecting New Dimensions of Medical Imaging

Architecting New Dimensions Of Medical Imaging

Several technologies—like 4D (3D over time) ultrasound imaging—have taken the medical-imaging market by storm. The medical field will continue to benefit from Moore’s Law as speed and resolution continue to improve. Take for example the joint effort between engineers and scientists from IBM and the Mayo Clinic that seeks to exploit recent parallelism advances in processors such as the Cell.

The result is a dramatic acceleration in 3D medical-image processing, which significantly advances the image-fusion process. Also known as registration and overlay, this process creates 3D images by aligning two or more images captured by different devices (e.g., MRI and CT), or the same type of device on different dates. Using alignment algorithms, images are “fused” to provide more complete visual information for easier detection of tissue changes like tumor growth or shrinkage.

But University of Calgary students have taken a different approach in creating the most complete 4D model of a human yet. Using a joystick, the object-oriented hologram, dubbed CAVEman, can provide a view of up to 3000 distinct body parts. This technology will help physicians plan for complex surgeries and allow patients to see a map of their body before surgery.

Let’s Talk about Goals
Instead of using the hospital’s ICU equipment, patients can be monitored at home. The patient’s quality of life improves and medical costs are reduced, achieving two key goals of these new technologies. Another goal is improved accuracy—for example, imaging the heart in a single beat or the lungs in a single breath. Researchers also hope to improve diagnostic capabilities via the least invasive procedure in as close to real time as possible.

Read the full Architecting New Dimensions of Medical Imaging Article.