Described herein are systems and methods for performing optical signal analysis and lesion predictions in ablations. A system includes a catheter coupled to a plurality of optical fibers via a connector that interfaces with a computing device. The computing device includes a memory and a processor configured to receive optical measurement data of a portion of tissue from the catheter. The processor identifies one or more optical properties of the portion of tissue by analyzing the optical measurement data and determines a time of denaturation of the portion of tissue based on the one or more optical properties. A model is created to represent a correlation between lesion depths and ablation times using the time of denaturation, the one or more optical properties, and the predetermined period of time. A predicted lesion depth for a predetermined ablation time is generated using the model.

Methods, apparatus, and systems are provided for facilitating the navigation of a catheter between first and second locations within a subject based on display of serial images corresponding to positions of the catheter at successive incremental times. Image production includes sensing catheter positions to produce location data for each time increment. For each position P.sub.i, the corresponding location data is processed to respectively produce an image I.sub.i reflecting the position of the catheter at a time T.sub.i. Each image I.sub.i is successively displayed at a time equal to T.sub.i+d, where d is an image processing visualization delay. Upon a condition that the catheter is displaced to a selected interim location between the first and second locations, the processing of the location data is switched from being performed by a first process associated with a first visualization delay to a second process associated with a second different visualization delay.

Systems and techniques for reliably predicting a motion phase for non-invasive treatment of the heart. The system and methods may account for both respiratory and cardiac cycles in characterizing the motion of the heart relative to the irradiation source. The system and methods may also include a heartbeat sensor that provides an independent reference indication of the cardiac phase to provide real-time or near real-time quality assurance of a current predicted phase indication. The disclosed system and methods may be configured for use in one of two modes: “beam-gating” and “beam-tracking”. For beam-gating, the predicted cardiac phase is compared to the desired gating window, based on the patient-specific treatment plan, to determine if a gate ON or gate OFF signal should be set. For beam-tracking, the predicted cardiac phase is used to load the appropriate beam parameters based on the patient-specific and motion phase-dependent treatment plans.

The present techniques relate to a techniques for performing cardiac perfusion imaging in order to detect perfusion defects in the myocardium. The present techniques relate to methods for performing cardiac perfusion imaging by performing at least two image acquisitions using different, customizable saturation delay times, which improves the ability to detect defects.

Heart tissue electrical activity mapping used to guide the placement of devices to intervene in (treat) structural heart disease. In some embodiments, the intervention comprises placement of an implantable device, and/or positioning of a therapeutic device used to remove and/or remodel tissue. In some embodiments, electrical activity mapping is performed along with spatial mapping of a body cavity. In some embodiments, the intervention device position is compared to the measured positions of anatomical structures critical to heart electrical function to assess and/or prevent complications due to the device damaging heart electrical function.

A plurality of image projections are acquired at faster than cardiac rate. A spatiotemporal reconstruction of cardiac frequency angiographic phenomena in three spatial dimensions is generated from two dimensional image projections using physiological coherence at cardiac frequency. Complex valued methods may be used to operate on the plurality of image projections to reconstruct a higher dimensional spatiotemporal object. From a plurality of two spatial dimensional angiographic projections, a 3D spatial reconstruction of moving pulse waves and other cardiac frequency angiographic phenomena is obtained. Reconstruction techniques for angiographic data obtained from biplane angiography devices are also provided herein.

A method for selecting one or more targets for non-invasively treating a cardiac arrhythmia in a patient includes receiving a mapping associated with the patient's heart and generating a segmented model of the mapping associated with the patient's heart. The segmented model divides the mapping into a plurality of segments. The method includes identifying one or more abnormality in the segmented model of the mapping associated with the patient's heart, determining which segment or segments of the plurality of segments include the identified one or more abnormality, and selecting a target for non-invasive treatment of the cardiac arrhythmia based on the determined segment or segments of the plurality of segments that include the identified one or more abnormality.

The present disclosure provides a system for MRI. The system may obtain a plurality of auxiliary signals and a plurality of imaging signals collected by applying an MRI pulse sequence simultaneously to a plurality of slice locations of a subject. For each of at least one target slice location of the plurality of slice locations, the system may generate at least one target image of the target slice location based on the plurality of auxiliary signals and the plurality of imaging signals. During the application of the MRI pulse sequence, phase modulation may be applied to at least one of the plurality of slice locations so that the plurality of slice locations have different phases during the readout of at least one of the plurality of imaging signals.

A system for patient cardiac imaging and tissue modeling. The system includes a patient imaging device that can acquire patient cardiac imaging data. A processor is configured to receive the cardiac imaging data. A user interface and display allow a user to interact with the cardiac imaging data. The processor includes fat identification software conducting operations to interact with a trained learning network to identify fat tissue in the cardiac imaging data and to map fat tissue onto a three-dimensional model of the heart. A preferred system uses an ultrasound imaging device as the patient imaging device. Another preferred system uses an MRI or CT image device as the patient imaging device.

Deoxyhemoglobin in a subject may be modulated to act as a contrast agent for use in magnetic resonance imaging. Sequential gas delivery may be applied to adjust the level of deoxyhemoglobin in the subject. A suitable magnetic resonance imaging (MRI) pulse sequence that is sensitive to magnetic field inhomogeneities, such as a blood-oxygen-level dependent (BOLD) sequence, may be used to detect deoxyhemoglobin as a contrast agent.