Main Logo
Logo

Society for Pediatric Radiology – Poster Archive

  172
  0
  0
 
 


Final ID: Paper #: 014

Free-Breathing Highly Accelerated 2D Cine Cardiac MRI Using Deep Convolutional Neural Network (DCNN) Reconstruction: Clinical Validation

Purpose or Case Report: To assess the image quality and clinical performance of a novel accelerated, free-breathing 2D cine cardiac MR sequence with DCNN reconstruction in comparison to conventional breath-held 2D cine balanced steady-state free precession (bSSFP).
Methods & Materials: 17 consecutive children (mean age: 14.2 yr, range: 9.7-22.0 yr, 10 male) were prospectively recruited for both short-axis cine acquisition strategies in one non-sedated 1.5T (Signa Artist, GE Healthcare) exam for cardiomyopathy or congenital heart disease. The respiratory-triggered 12-fold accelerated sequence was undersampled to acquire one slice over 1 RR interval. The reconstruction network inputs are zero-filled images generated using coil sensitivity maps that are extracted from a calibration region. Images are then reconstructed with a network that implements iterations of separable 3D convolutions and data consistency steps, completed within 1 minute. For each case, 2 blinded pediatric CV radiologists independently scored image quality of the DCNN and bSSFP recons on a 5-point scale (1-worst, 5-best) and manually segmented the LV/RV endocardial contours. Scan times (approximated as time between acquisition start and next sequence start) and image quality scores were compared using the Wilcoxon rank-sum test. Intra- and interobserver agreement in ventricular volumes/function for each recon type were assessed with the intraclass correlation coefficient (ICC).
Results: Accelerated scans were significantly faster than conventional bSSFP (mean time: 2.3 +/- 1.5 min vs. 11.3 +/- 2.9 min, p<0.001) with only minimally decreased mean image quality scores (3.6 +/- 0.6 vs. 4.1 +/- 0.5, p=0.001); scores for all recons were >=3, indicating at least diagnostic quality. For both raters, there was excellent agreement between volume/function measurements derived from conventional and DCNN images; ICCs for LVEDV, LVESV, LVSV, LVEF, RVEDV, RVESV, RVSV, and RVEF were 0.959-0.960, 0.953-0.967, 0.925-0.952, 0.839-0.977, 0.965-0.970, 0.945-0.958, 0.945-0.979, 0.894-0.958, respectively. There was also excellent interobserver measurement agreement in these parameters both for DCNN and conventional images, with ICCs ranging from 0.879-0.990 and 0.887-0.992, respectively.
Conclusions: The accelerated, free-breathing DCNN technique was much faster than bSSFP with comparable image quality and measurement agreement for key LV/RV parameters. This approach may thus allow substantially shorter cardiac MRI with a primary goal of ventricular volume and function analysis.
  • Zucker, Evan  ( Stanford University , Stanford , California , United States )
  • Sandino, Christopher  ( Stanford University , Stanford , California , United States )
  • Kino, Aya  ( Stanford University , Stanford , California , United States )
  • Lai, Peng  ( GE Healthcare , Menlo Park , California , United States )
  • Vasanawala, Shreyas  ( Stanford University , Stanford , California , United States )
Session Info:

Scientific Session I-B: Cardiovascular

Cardiovascular

SPR Scientific Papers

More abstracts on this topic:
Minimizing the Risk: Using the Feed and Wrap Method in Cardiac MR

Griffin Lindsay, Francois Christopher

Automatic Tidal Lung volume Estimation From MRI for Preterm Neonatal Patients With Bronchopulmonary Dysplasia

Mahalingam Neeraja, Bates Alister, Higano Nara, Gunatilaka Chamindu, Woods Jason, Somasundaram Elanchezhian

More abstracts from these authors:
Preview
Paper____014.pdf
You have to be authorized to contact abstract author. Please, Login or Signup.

Please note that this is a separate login, not connected with your credentials used for the SPR main website.

Not Available

Comments

We encourage you to join the discussion by posting your comments and questions below.

Presenters will be notified of your post so that they can respond as appropriate.

This discussion platform is provided to foster engagement, and stimulate conversation and knowledge sharing.

Please click here to review the full terms and conditions for engaging in the discussion, including refraining from product promotion and non-constructive feedback.

 

You have to be authorized to post a comment. Please, Login or Signup.

Please note that this is a separate login, not connected with your credentials used for the SPR main website.


   Rate this abstract  (Maximum characters: 500)