Systems and methods for mapping a cavernous nerve near an organ. The system includes: one or more processors; and a memory that is communicatively coupled to the one or more processors and stores one or more sequences of instructions, which when executed by one or more processors causes steps to be performed comprising: applying an excitation signal to an electrode at a tip of an laparoscope, the tip being configured to contact a point on a tissue near an organ; responsive to the excitation signal, measuring a change in a signal from a pair of electrodes configured to be installed on the penis, the change in the signal being associated with an erectile function of the penis; and based on the change in the signal from the pair of electrodes, determining a distance between the point on the tissue and a cavernous nerve near the organ.

A method for non-invasively classifying a tumorous modification of a tissue according to different stages of the tumorous modification comprises the steps of: a) receiving raw magnetic resonance imaging (MRI) data that has been recorded by applying at least one diffusion weighted imaging (DWI) sequence using three to nine different b-values to a tissue being suspicious to a tumorous modification without application of a contrast agent; b) extracting at least two quantification scheme parameters from the raw MRI data by using at least one quantification scheme, wherein each of the quantification scheme parameters is related to a microstructural property of the tissue; c) applying a weight to each quantification scheme parameter, wherein the weight is dependent on a kind of the tissue and on the quantification scheme, whereby a set of weighted quantification scheme parameters is obtained; d) determining a scoring value by combining the weighted quantification scheme parameters within the set, wherein each of the weighted quantification scheme parameters is used only once for determining the scoring value; and e) classifying the tumorous modification of the tissue into one of at least two classes according to the scoring value. The method and a corresponding classification device are capable of performing non-invasive tissue characterization without contrast agent administration in a highly accurate manner while supplementary information related to conventional imaging properties and clinical information can further increase the high diagnostic accuracy. They are used in their entirety for classifying the tumorous modification of the tissue.

Example embodiments associated with characterizing a sample using NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a tissue in the object as a result of comparing acquired signals to reference signals. Example embodiments facilitate distinguishing prostate cancer tissue from normal peripheral zone tissue based on quantitative data acquired using NMR fingerprinting in combination with apparent diffusion co-efficient (ADC) values or perfusion values acquired using DWI-MRI or DCE-MRI.

The present invention provides a targeted nanoplex platform for in vivo imaging and theranostic imaging of cancer to simultaneously provide non-invasive assessment of tumor burden and cancer-selective treatments.

The invention describes a new Imaging modality based on Linear Velocity Imaging Tomography; its applications include differentiating between malignant and benign tissues, the ability to correlate an ECG trace with actual disorders of the heart and Imaging Brain communications.

Embodiments predict prostate cancer (PCa) biochemical recurrence (BCR) employing an image acquisition circuit that accesses a pre-treatment image of a region of tissue demonstrating PCa; a segmentation circuit that segments a prostate capsule represented in the image; a registration circuit that registers the segmented prostate with a BCR median template, and generates a registered surface of interest (SOI) mask by registering an SOI mask with the registered prostate; a mask circuit that generates a patient-specific SOI mask from the registered prostate and the registered SOI mask, and generates a patient-specific SOI mesh from the patient-specific SOI mask; a field effect induced organ distension (FOrge) circuit extracts a set of FOrge features from the patient-specific SOI mesh, and computes a probability that the region of tissue will experience BCR; and a classification circuit classifies the region of tissue as likely to experience BCR based on the probability.

A method and system for diagnosis and treatment of medical conditions. The method includes communicating MRI, CT, PET and/or ultrasound image data, and fusing such data using an image-guided biopsy system. It further includes using such fused images in conjunction with the image-guided biopsy system for performing diagnosis and treatment procedures.

The invention concerns a device for displaying an internal organ of a patient comprising a computer (2) and a screen (3) connected to the computer in order to display at least one image of the internal organ. According to the invention, the computer is arranged to determine, from at least one medical examination previously carried out on the internal organ, at least one confidence area (10) and/or at least one affected area (11), at least partially encompassing one or more portions (9) of the internal organ where samples have been taken and/or at least partially encompassing one or more areas previously identified as suspect during a medical imaging procedure, and to display, on the screen, the image of the internal organ supplemented with the confidence area and/or the affected area. The invention also concerns a corresponding display method.

A dual modality probe is disclosed having both a positron emission tomography sensor and a ultrasound sensor. A dual imaging system is provided having the probe and at least one external positron emission tomography detector and a data acquisition computer system for collecting data simultaneously from the positron emission sensor and the ultrasound sensor of the probe and the positron emission tomography detector. A method for evaluating a target organ of a patient utilizing the probe and imaging system, and performing a biopsy of the organ is disclosed.

The present disclosure relates to a method and a system for detecting an anomaly within a biological tissue. A first image of the biological tissue is obtained, the first image containing light at a first wavelength. A second image of the biological tissue is obtained, the second image containing light at a second wavelength. A texture analysis of the biological tissue is performed using spatial information of the first and second images. The texture analysis is resolved over the first and second wavelengths.