https://amirvahedix.github.io/tags/medical-imaging/Recent content in Medical Imaging on Amir VahediHugo 0.125.0en-usSat, 04 Jul 2026 02:05:40 +0330https://amirvahedix.github.io/posts/medical-imaging-libraries/Sat, 04 Jul 2026 02:05:40 +0330https://amirvahedix.github.io/posts/medical-imaging-libraries/Right now, there are some seriously powerful libraries and frameworks out there dedicated to medical imaging. They make the whole process of training and testing models so much easier for developers. Here is a quick breakdown of these libraries. Nvidia’s Clara Medical Developed by Nvidia, Clara Medical is an awesome collection of powerful models for various tasks—like generating CT and MRI scans, as well as other challenges in this field, such as 3D medical image segmentation.https://amirvahedix.github.io/posts/ct-vs-cbct/Thu, 02 Jul 2026 02:41:09 +0330https://amirvahedix.github.io/posts/ct-vs-cbct/Technology CT Machine: The radiation from this machine is a Fan Beam, and images are stored layer by layer (slices). CBCT Machine: The radiation is emitted as a Cone Beam, and the entire target area is imaged in a single 360-degree rotation. Quality of Different Tissues Soft Tissues: CT images have very high accuracy for soft tissues (such as internal organs and tumors), whereas CBCT quality in soft tissue is poor.