Accreditation:
Approved by the ASRT (American Society of Radiologic Technologists) for 1.25 Category A CE Credits.

License duration: 6 months from purchase date.

Description:
In this course, we will discuss how the data is collected and transformed into an image in MRI. Image quality is important, and because an image of poor quality can hide a pathology and lead to misdiagnosis, in this article we will also get to learn and understand what makes a good quality image, and how the parameters selected can affect the image quality. Image quality is important, because an image of poor quality can hide a pathology and lead to misdiagnosis.

• Meets the CE requirements of the following states: California, Texas, Florida, Kentucky, Massachusetts, and New Mexico
• Meets the ARRT® CE reporting requirements

Objectives:
• Describe the process of collecting the signal at the coil through the digitizing of the data and image creation
• Define Fourier transform
• Describe and identify the matrix, including phase and frequency of the matrix
• Define pixel
• Describe k-space and how k-space is filled
• Identify what aspects of k-space are responsible for contrast resolution and spatial resolution
• Define NEX
• Compute acquisition times
• List the primary parameters used in MRI and how they each relate to image quality
• Describe computer controls that affect image quality
• Match types of pulse sequences to their associated image contrast
• Define SNR
• Identify noise on an MRI image
• Define spatial resolution
• List parameters that affect spatial resolution
• List parameters that affect SNR
• Select appropriate trade-offs to balance image quality and SNR

Additional details will be posted as soon as information is available.