Abstract: Provided herein are cardiac information processing systems comprising multiple subsystems for performing a procedure and producing procedure data, and a processing module. The multiple subsystems comprise: a mapping subsystem comprising at least one mapping catheter; an imaging subsystem comprising at least one imaging device; and a treatment subsystem comprising at least one treatment device. The processing module receives the procedure data, the processing module comprising at least one processor and at least one algorithm. The at least one algorithm is configured to perform an assessment of the procedure data and produce evaluation data based on the assessment. Methods of processing cardiac information are also provided.

Abstract: Described here are systems and methods for producing high-resolution three-dimensional (“3D”) relaxation parameter maps by calibrating high-resolution 3D magnetic resonance images. As one example, high-resolution longitudinal relaxation time (“T1”) maps can be generated based on images acquired using a T1-weighted pulse sequence, and as another example high-resolution transverse relaxation time (“T2”) maps can be generated based on images acquired using a T2-weighted pulse sequence. The high-resolution images can be calibrated, for example, using a lower resolution single slice relaxation parameter map. The methods described here utilize high-resolution 3D scans and low-resolution relaxation parameter maps that are commonly available on MRI systems. The calibration is a post-processing step used to create the high-resolution 3D relaxation parameter maps from these two types of scans.

Abstract: Described here are systems and methods for producing high-resolution three-dimensional (“3D”) relaxation parameter maps by calibrating high-resolution 3D magnetic resonance images. As one example, high-resolution longitudinal relaxation time (“T1”) maps can be generated based on images acquired using a T1-weighted pulse sequence, and as another example high-resolution transverse relaxation time (“T2”) maps can be generated based on images acquired using a T2-weighted pulse sequence. The high-resolution images can be calibrated, for example, using a lower resolution single slice relaxation parameter map. The methods described here utilize high-resolution 3D scans and low-resolution relaxation parameter maps that are commonly available on MRI systems. The calibration is a post-processing step used to create the high-resolution 3D relaxation parameter maps from these two types of scans.