The present invention relates to methods for assessing or obtaining an indication of vascular pressure associated with organs or visceral tissues of the body by using MRI imaging methods. The invention particularly relates to methods for assessing or obtaining an indication of portal hypertension using Magnetic Resonance T1, or T1 and T2* relaxometry, and T1, T2, and/or T2* mapping of the liver or spleen.

An intelligent surgical tool control system, comprising a tool management system; an indicating means to indicate at least one surgical event; a communicable database for storing, for each item of interest, its identity, its present 3D position and at least one previous 3D position; and at least one processor to identify, from a surgical event, an output surgical procedure. The tool management system can comprise a maneuvering mechanism to maneuver a surgical tool in at least two dimensions; and a controller to control at least one of activation and deactivation of a surgical tool and articulation of a surgical tool. The indicating means can indicate a surgical event selected from movement of a moving element and presence of an item of interest, where movement is determinable if the current 3D position of the moving element is substantially different from a previous 3D position of the same.

An analysis apparatus includes processing circuitry configured to obtain quantitative values of a plurality of types of tissue properties relating to a region of interest of a subject, and generate a diagram of the region of interest based on the quantitative values.

An apparatus for non-invasive evaluations and in-vivo diagnostics includes an open magnet, an RF antenna, and an NMR analytics logical circuit communicatively coupled to the RF antenna, wherein the open magnet is shaped to generate a static magnetic field that extends unilaterally into an object or internal organ of a subject when the open magnet is positioned against or in proximity to the object or subject, the static and RF magnetic fields shaped to generate a sensitive volume within a target region. The RF antenna or antenna array is configured to transmit RF pulses into the target region of the object or internal organ and receive sets of NMR signals generated by hydrogen or other elements, and the NMR analytics logical circuit is configured to obtain and analyze sets of NMR signals.

Encompassed are embodiments of activatable nanoprobes useful for in vivo longitudinal imaging of drug hepatotoxicity with oxidative and nitrosative stress as the safety biomarkers. Both H.sub.2O.sub.2 and ONOO.sup.− are important mediators of radical stress. Two channels of optical detection, intrinsically free from cross-talk, were engineered into superconducting polymer nanoparticles to generate chemiluminescence resonance energy transfer between the conjugated polymer matrix of the nanoparticle and an incorporated chemiluminescent substrate allowing for the luminescent detection of H.sub.2O.sub.2 and fluorescence resonance energy transfer between the polymer matrix and an oxidation-degradable fluorophore for ratiometric detection of ONOO These nanoprobes have been applied for real-time in vivo monitoring of hepatotoxicity resulting from challenges from drugs. In addition to the ability of imaging the dose-dependence of oxidative and nitrosative stress, the positive detection of radical stress that precedes histological changes allow the early and longitudinal detection of drug-induced hepatotoxicity in vivo.

A lesion detection ensemble machine learning model architecture comprising a plurality of trained machine learning (ML) computer models is provided. A first decoder of a lesion detection ML model processes a medical image input to generate a first lesion mapping prediction. A second decoder of the lesion detection ML model processes the medical image input to generate a second lesion mapping prediction. Combinational logic combines the first and second lesion mapping predictions to generate a combined prediction. Final lesion mapping output logic generates a final lesion prediction based on the combined lesion mapping prediction. The final lesion mapping output logic outputs the final lesion prediction for further downstream computing operations. The first decoder is trained with a first loss function that is configured to counterbalance a training of the second decoder that is trained using a second loss function different from the first loss function.

The present invention relates to systems for use for radio frequency ablation. The systems can include one or more of an ablation tool, power source for use with the ablation tool and a backstop for use in conjunction with the ablation tool during surgical procedures. Preferred ablation tools comprise a series of three or more blade-shaped electrodes disposed in a linear, curved, curvilinear or circular array. The backstops are useful for reducing direct physical and thermal heat transfer injuries to the patient or surgeon during procedures using radiofrequency (RF) ablation devices.

Systems and methods utilize an infrared probe and discriminating software to rapidly discriminate normal tissue processes from normal tissue during surgery, physical examination of in-situ lesions, and in the assessment of biopsy and resected tissue specimens. Examples demonstrate discrimination of cancerous from noncancerous tissues. The discriminating software, i.e. the metrics, algorithms, calibrant spectra, and decision equations, allows tissue to be identified as abnormal or normal using a minimum of infrared (IR) wavelengths in order to be measured rapidly. The probe records IR metrics approximately 1000 times faster than current commercial instruments, i.e. on a timescale fast enough for clinical use. The probe uses a tunable mid-infrared laser with a small set of selected wavelengths that are optimized for detecting the chemical and molecular signatures of tissue specific lesions to include, but not limited to, cancer, preneoplasia, intracellular accumulations (e.g. steatosis), inflammation, and wound healing.

In a computer and a magnetic resonance method and apparatus for automatic characterization (classification) of liver tissue in a region of interest of a liver, at least one value tuple of the region of interest of the liver is acquired, the value tuple including at least one T.sub.1 value determined from magnetic resonance images of the region of interest, or a reciprocal value thereof, and a T.sub.2 or T.sub.2* value or a reciprocal value thereof. The value tuple is transferred into a multidimensional parameter space and the characterization of the liver tissue is then performed on the basis of the position of the value tuple in the parameter space.

A method for estimating fractional fat content of an object of interest is described. The method comprises obtaining thermoacoustic data of a region of interest containing an object of interest and a reference, and estimating fractional fat content of the object of interest using the thermoacoustic data and at least one parameter of the reference.