Parametric imaging in Cardiovascular Magnetic Resonance (CMR) is a technique that allows for the quantitative analysis of tissue characteristics. It enables the measurement of various parameters, such as the extracellular volume fraction, T1 and T2 relaxation times, and others, which provide information about the structure and function of the heart. This technique is particularly useful in the assessment of myocardial tissue damage and the characterization of various cardiac diseases, including cardiomyopathies, myocardial infarction, and others.
Parametric imaging helps in the early detection of subtle changes in tissue characteristics that may be missed by conventional imaging methods. It can also aid in the differentiation of different types of tissue, such as healthy myocardium, fibrotic tissue, or edema, which can improve the accuracy of diagnosis and treatment planning. Additionally, parametric imaging can monitor disease progression and response to therapy over time, which is crucial for assessing the effectiveness of treatments and adjusting them as needed.
In summary, parametric imaging in CMR provides valuable quantitative information about the structure and function of the heart, aiding in the early detection, diagnosis, and treatment of various cardiac diseases. It is a powerful tool which when fully utilised gives valuable information to the reporting radiologist or cardiologist.
Hybrid EPI Sequence for Adenosine Stress Perfusion Cardiac MRI on 1.5T Siemens Aera.
Thrombus, MaR (myocardium at risk) and IV contrast enhanced SSFP cines (CE-SSFP) in cardiac MRI.
Amyloid Cardiac MRI
Basic Infiltration Protocol for Amyloid
1. Cine SSFP Long axis & Short axis views
2. Stir/T2 FS Long axis & Short axis views
3. Native MyoMaps (MOLLI) in the Long axis & 3/5 short axis
4. T2 Maps in 3/5 short axis
5. EGE in the Long axis & short axis views
6. PSIR LGE in the long & short axis (you can have the magnitude images included but these will not be of much value as the PSIR)
7. Enhanced MyoMaps in the long axis & short axis views
Look out for the enhancement patterns- depending on the type of amyloid & disease progression. The first clue (for new amyloid diagnosis) should be the lack of 'nulling' on your TI scout/ looklocker- repeat it in a different plane at first, then move straight to PSIR.
The key to imaging such cardiac anatomy, morphology & function is high-res thin slice SSFP imaging. Key considerations are:
1. Thin slices of about 4 to 6cm
2. Maintaining high SNR through altered voxel size and nex
3. Keeping breath holds short- partial fourier, SFOV, increased segmentation
4. Use of appropriate gating or triggering- if prospective, use view sharing to increase phases & less segments
5. Use of SSh non cine imaging in the 3 orthogonal planes at the start of the scan to identify the anatomy prior to cine imaging- quickens the scan
6. Ensuring that phase flows are positioned appropriately & perpendicular to any jets with the correct venc. May need venc scouts if unsure
7. If needs be, use Hamming filters.