Parametri TC #3 | PARAMETRI DI RICOSTRUZIONE: kernel, algoritmi, spessore e incremento

In the first video, we saw how we acquire volume. In the second, we looked at how much radiation we use. In this video, we take the final step: how data becomes an image. We discuss reconstruction parameters in computed tomography and how they influence: Noise Contrast Detail ...and in some cases, even dose! --- 👉 Subscribe to the learning programs at http://www.appuntidiradiologia.com For each topic you can: Check your learning with a self-assessment quiz Download the free PDF summary of the video All resources are available here: 🔗 https://www.appuntidiradiologia.com/s... --- Video Chapters: 00:00 Introduction 00:40 Kernel 04:50 Kernel and Window/Level 05:53 Reconstruction Algorithm 07:27 Iteration Levels 08:19 Matrix, Thickness, and Increment 11:51 Conclusion 🔔 Subscribe to the channel for more videos on imaging and radiological techniques! 👍 Leave a like if this was helpful and let us know in the comments if you have any questions or would like to learn more about any topic! --- computed tomography, CT, kernel, CT reconstruction, CT reconstruction algorithms, TSRM, radiology, noise, contrast, FOV, voxel, CT imaging parameters, CT reconstruction kernel, iterative reconstruction