The Brigham and Women's Hospital, Inc.

Massachusetts Institute of Technology

Children's Medical Center Corporation

Universidad Politécnica De Madrid

Frank John Rybicki

Robert V Mulkern

Raúl San José Estépar

Daniel Jiménez Carretero

Sara Rodríguez López

Germán González Serrano

María J Ledesma Carbayo

Dimitrios Mitsouras

A system for determining the prognosis of a patient suffering from pulmonary embolism is provided. The system may include at least one computer system configure to receive patient specific data regarding his pulmonary embolism status. The at least one computer system may be further configured to create a model of the patient's heart, with at least information of the two ventricles, and to determine the ratio of sizes of the ventricles. The system will then report such ratio to the clinician or report a risk index of clinical outcome for such patient.

Method and system for determining the prognosis of a patient suffering from pulmonary embolism

The present invention provides a method for producing density-compensated MR images having improved signal-to-noise ratio and with reduced computational burden. The method includes sampling MR data using a rotationally symmetric acquisition trajectory, generating a cross-correlation matrix, and applying a discreet Fourier transform (DFT) to the acquired MR data and the cross correlation matrix. The method further includes employing the transformed MR data and transformed cross-correlation matrix in a linear system to produce a set of density-compensated transformed MR data, which may transformed into density compensated MR data by application of an inverse DFT. The density compensated MR data may be reconstructed by a variety of techniques to produce density compensated images.

K-space sample density compensation for magnetic resonance image reconstruction

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Boston, MA, United States of America

Frank John Rybicki