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Dataset Information

Improved visualization of free-running cardiac magnetic resonance by respiratory phase using principal component analysis.


ABSTRACT:

Rationale and objectives

To support cardiac MR acquisitions during breathing without ECG, we developed software to mitigate the effects of respiratory displacement of the heart. The algorithm resolves respiratory motions and cardiac cycles from DICOM files. The new software automatically detects heartbeats from expiration and inspiration to decrease apparent respiratory motion.

Materials and methods

Our software uses principal component analysis to resolve respiratory motions from cardiac cycles. It groups heartbeats from expiration and inspiration to decrease apparent respiratory motion. The respiratory motion correction was evaluated on short-axis views (acquired with compressed sensing) of 11 healthy subjects and 8 cardiac patients. Two expert radiologists, blinded to the

SUBMITTER: Shammi UA 

PROVIDER: S-EPMC11639450 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature