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MRI Heart

CMR with device susceptibility artifacts (Penso 2022)

Dataset related to the article "Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment"

Cardiac cine MRI of patients with and without pacemakers or implantable defibrillators, collected to train and test automatic segmentation of both ventricles and the left ventricular myocardium in images degraded by metal susceptibility artifacts. Two Italian centers, expert contours. Access restricted.

Overview

Short-axis cine cardiac MRI from two Italian hospitals, gathered to develop a convolutional network with attention gates that outlines the left and right ventricular cavities and the left ventricular myocardium when a pacemaker or implantable cardioverter-defibrillator distorts the image. The study was retrospective and the authors deposited the related raw data as a restricted Zenodo record. No files or terms are visible on the record, and the paper says the data can be requested from the corresponding author.

Composition

The internal cohort has 230 patients scanned at Centro Cardiologico Monzino in Milan between May 2017 and December 2021: 100 with a cardiac implanted electronic device (16 pacemakers, 84 defibrillators) and 130 without one, whose artifact-free images were added to enlarge the training set. Mean age was 56 years (SD 17) and 68 patients were women. The main reasons for the scan were coronary artery disease, ventricular arrhythmia, dilated or hypertrophic cardiomyopathy and acute myocardial infarction. An external test cohort of 56 device carriers came from Fondazione Toscana Gabriele Monasterio in Pisa (2016 to 2022). The internal set gave 4198 and the external set 893 end-diastolic and end-systolic slices. Internal patients were split by patient into training, validation and test sets in proportions that differed between the device and no-device groups.

Acquisition

All scans were at 1.5 T on GE systems: a Discovery MR450 with a 32-channel cardiac coil in Milan, and Signa Excite or Signa Artist in Pisa. Breath-hold balanced steady-state free precession cine stacks covered both ventricles from base to apex with 8 mm slices, no gap and 30 phases per cycle. Internal images were 512 x 512 pixels, external ones 256 x 256.

Annotations

One reader with EACVI Level III certification traced the left and right ventricular endocardium and the left ventricular epicardium at end-diastole and end-systole in cvi42, with a second expert consulted when in doubt.

Known limitations

Access is at the authors' discretion and no license is published. The record does not say which cohort or which derived files it contains. Sex and age are reported only for the internal cohort. Only end-diastolic and end-systolic frames carry manual contours.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 286 subjects.

Sex

  • Female 68 100%

Covers 68 of 286 subjects.

Table 1 in Penso et al. 2022, Journal of Cardiovascular Magnetic Resonance 24, 62

Condition

Groups can overlap

  • Dilated cardiomyopathy 41 14%
  • Myocardial infarction 24 8%
  • Hypertrophic cardiomyopathy 18 6%

Table 1 in Penso et al. 2022, Journal of Cardiovascular Magnetic Resonance 24, 62

Field strength

  • 1.5 T 286 100%

Methods, Study population in Penso et al. 2022, Journal of Cardiovascular Magnetic Resonance 24, 62

Age

mean 56 ± 17

No age bins reported.

Table 1 in Penso et al. 2022, Journal of Cardiovascular Magnetic Resonance 24, 62

Contrast / sequence

Groups can overlap

  • Cine MRI 286 100%

Methods, Study population in Penso et al. 2022, Journal of Cardiovascular Magnetic Resonance 24, 62

Scanner vendor

  • GE HealthCare 286 100%

Methods, Study population in Penso et al. 2022, Journal of Cardiovascular Magnetic Resonance 24, 62

Country

  • Italy 286 100%

Methods, Study population in Penso et al. 2022, Journal of Cardiovascular Magnetic Resonance 24, 62

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
On request

Ask the authors or the data holder. No published process or terms, and access is at their discretion

The Zenodo record is public but its files are restricted, and it states no access conditions or license. The paper says the data are not publicly available due to institutional policies and are available from the corresponding author on reasonable request. Whether the record holds the internal cohort, the external cohort or both is not stated.

Access page

No published license or data use terms

The data holder has published no license and no data use terms. Any use, sharing or commercial right has to be agreed with the data holder, and nothing can be assumed to be allowed. Default copyright and data protection law still apply.

The Zenodo record and the paper's data availability statement publish no license or data use terms.

Original license text Checked 2026-10-08

What you can do

  • Commercial use Not stated
  • Not stated
  • Train ML models Not stated
  • Create derived data Not stated
  • Publish results Not stated

What you can share

  • Share the data Not stated
  • Share derived data Not stated
  • Share trained models Not stated

What you must do

  • Cite or credit Not stated
  • Share alike Not stated
  • Sign an agreement Not stated
  • Ethics approval Not stated
  • Manuscript review Not stated
  • Release code Not stated
  • Return results Not stated
  • Delete after use Not stated

Limits

  • No re-identification Not stated
  • Location limits Not stated

Citation

Penso M, Babbaro M, Moccia S, et al. Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment. J Cardiovasc Magn Reson 24, 62 (2022). doi:10.1186/s12968-022-00899-5

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.