Publications by authors named "M Malave"
Background: CT is the standard imaging technique to evaluate pediatric sinuses. Given the potential risks of radiation exposure in children, it is important to reduce pediatric CT dose and maintain image quality.
Objective: To study the utility of spectral shaping with tin filtration to improve dose efficiency for pediatric sinus CT exams.
Article Synopsis
- The study aims to create a new method for high-resolution coronary magnetic resonance angiography (CMRA) that compensates for respiratory motion during free breathing.
- The method uses a specific imaging technique (variable-density 3D cones trajectory) and incorporates advanced motion correction strategies to improve image quality.
- Initial tests on six subjects show that this approach significantly enhances image sharpness compared to traditional methods, as evaluated by both cardiologists and quantitative metrics.
Purpose: To rapidly reconstruct undersampled 3D non-Cartesian image-based navigators (iNAVs) using an unrolled deep learning (DL) model, enabling nonrigid motion correction in coronary magnetic resonance angiography (CMRA).
Methods: An end-to-end unrolled network is trained to reconstruct beat-to-beat 3D iNAVs acquired during a CMRA sequence. The unrolled model incorporates a nonuniform FFT operator in TensorFlow to perform the data-consistency operation, and the regularization term is learned by a convolutional neural network (CNN) based on the proximal gradient descent algorithm.
Purpose: To develop a modular magnetization preparation sequence for combined T -preparation and multidimensional outer volume suppression (OVS) for coronary artery imaging.
Methods: A combined T -prepared 1D OVS sequence with fat saturation was defined to contain a 90° 180° composite nonselective tip-down pulse, two 180° hard pulses for refocusing, and a -90° spectral-spatial sinc tip-up pulse. For 2D OVS, 2 modules were concatenated, selective in X and then Y.
Article Synopsis
- The study aimed to create a 3D cone imaging sequence for heart scans that is better at reducing issues caused by breathing movements and eddy currents.
- The new method uses a phyllotaxis pattern to collect data more efficiently, leading to improved image quality while accepting a trade-off of needing more heartbeats for acquisition.
- Results show that the phyllotaxis approach significantly enhances image sharpness and reduces motion artifacts in coronary artery imaging compared to traditional methods.