Cardiac Cine MRI in 4 Heartbeats: Reducing Breath-Hold Burden in CMR

SwiftMR reconstruction reduces 2-chamber cine acquisition from 11 heartbeats to 4, cutting breath-hold time by more than 60% while maintaining diagnostic cine quality.

Cardiac Cine MRI in 4 Heartbeats

Cine imaging is one of the foundational sequences in cardiac MRI. By visualizing the heart in motion, cine MRI supports assessment of wall motion, ventricular function, chamber dynamics, and blood flow.

However, cine imaging also contributes meaningfully to the breath-hold demands of a cardiac MRI exam. Cine acquisitions are typically repeated across multiple slices and views, with each acquisition requiring the patient to hold their breath while data is collected over several heartbeats.

For patients with limited breath-hold capacity, dyspnea, anxiety, discomfort, or difficulty following breathing instructions, this repeated demand can affect both patient experience and image consistency.

The Clinical Challenge

Traditionally, cine data may be acquired over approximately 8–11 heartbeats per slice, depending on the protocol and heart rate.

Across a full CMR protocol, those repeated breath holds can add up quickly. Even when a single breath hold seems manageable, the cumulative burden across multiple cine acquisitions can become challenging for patients and technologists.

The goal is not simply to make one acquisition faster. The clinical value comes from reducing repeated breath-hold demand while maintaining the dynamic cardiac information needed for interpretation.

Image Comparison

This 2-chamber cine example compares:

  • Standard cine acquisition: 11 heartbeats
  • Accelerated cine acquisition with SwiftMR: 4 heartbeats

At a heart rate of 60 bpm, this reduces breath-hold time from approximately 11 seconds to 4 seconds per slice.

That represents a reduction in breath-hold time of more than 60%.

Managing the Acceleration Tradeoff

Higher acceleration in cine MRI can introduce expected image quality tradeoffs, including increased noise, reduced SNR, and reduced apparent spatial resolution.

In this example, multiple acceleration techniques were used to reduce the number of heartbeats required for acquisition. SwiftMR AI-reconstruction was then applied to address the image quality tradeoffs associated with the accelerated acquisition.

The comparison provides an opportunity to evaluate whether the accelerated cine acquisition maintains the dynamic information required for clinical interpretation while substantially reducing breath-hold time.

What to Evaluate

When reviewing the images, areas of interest include:

  • Endocardial border visualization
  • Wall motion assessment
  • Chamber function
  • Overall cine image consistency
  • Preservation of dynamic cardiac information

The key question is whether clinically useful cine information remains available despite the shorter acquisition window.

Clinical Considerations

For cardiac MRI teams, reducing cine acquisition from 11 heartbeats to 4 heartbeats may support:

  • Lower cumulative breath-hold burden across the exam
  • Improved patient tolerance during CMR
  • Reduced opportunity for respiratory motion
  • More consistent cine acquisitions across repeated slices
  • Greater flexibility in cardiac MRI workflow

These considerations are especially relevant in patients who struggle with repeated breath holds or in protocols where multiple cine views are required.

Final Thoughts

Cardiac MRI depends on cine imaging, but cine acquisitions can place a meaningful breath-hold burden on patients.

This example demonstrates how accelerated cine acquisition, combined with SwiftMR reconstruction, can reduce data acquisition from 11 heartbeats to 4 heartbeats while maintaining the dynamic cardiac information needed for interpretation.

For CMR teams, the value is not only the shorter acquisition itself. It is the potential to reduce cumulative breath-hold burden across the exam while preserving the clinical utility of cine MRI.

For additional clinical examples or protocol discussions, reach out to Anthony Rodenberg, Director Clinical Programs BA, R.T.(R)(MR)(ARRT)

Footnotes

Optimizing Clinical Cardiac MRI Workflow through Single Breath-Hold Compressed Sensing Cine (Link: https://www.mdpi.com/2077-0383/13/3/753)