Hologic, Inc.

Methods and systems for identifying a region of interest in breast tissue use artificial intelligence to confirm that a target lesion identified during initial imaging the breast tissue has been identified in a subsequent imaging session. A computing system operating a lesion matching engine uses a machine learning classifier algorithm trained on cases of initial and subsequent two-dimensional or three-dimensional images of lesions. The lesion matching engine analyzes a target lesion identified with initial and a potential lesion identified with current imaging to determine a likelihood that the target lesion is the same as the potential lesion. A confidence level indicator for the lesion match is presented on a display of a computing device to aid a healthcare provider in locating a lesion in breast tissue.

Examples of the present disclosure describe systems and methods for using AI to identify regions of interest (ROI) in medical images. In aspects, medical reports and images may be provided to a second environment. The second environment may use the medical report data/medical images to train a natural language processing (NLP)-based algorithm to identify the location in images of ROI described in the medical report data. The output of the NLP-based algorithm may be stored in an ROI repository in the second environment. After the NLP-based algorithm has been trained, a request to train a user-specific model may be received in a first environment. Data objects for the requested user-specific model may be provided to the second environment, which uses the ROI repository to train the model. The trained model may be provided to the first environment, where the trained user-specific model/algorithm may be tested and stored.

A hybrid image based on different tissue specimen images is generated to compensate for blood and other fluids that interfere with imaging. Specimen is deposited into tray with fluid. X-ray and camera imaging devices acquire images of specimen and fluid. X-ray and optical images are processed for generation of hybrid image. Transparency modifications allow for multiple and different images to contribute to depiction of specimen edges or boundaries that would otherwise appear less clear in x-ray image due to interfering fluid. Transparency modifications in hybrid image also provide for sufficiently high transparency in certain optical image portions that would otherwise be opaque so that objects of interest depicted in x-ray image but not optical image are visible.

A tube arm assembly is rotatably connected to the floor mounted gantry of a breast imaging system. A support arm connected to the tube arm assembly can be independently rotated and positioned in a first angle, second angle, and a level position. A compression arm is configured to support a breast compression paddle and is linearly positionable on the support arm. Display screens and a sensor are disposed on an upper surface of the compression arm. Based on a signal received from the sensor, a controller is configured to change the read-ready orientation of each arm display.

A system for visualizing and guiding a surgical device having a first imaging device of a first type and has a first image output. The first imaging device is positioned to image an area being subject to surgery. A second imaging device of a second type has a second image output. The second imaging device is positioned to image an area being subject to surgery. A computer is coupled to receive the first and second image outputs and a computer software program, resident in the computer receives and displays information received from the surgical device and/or for guiding the operation of the surgical device and for generating a graphic user interface including selectable menu and submenu items. The surgical device is coupled to the computer.

A compression assembly is coupled to the gantry of an ultrasound breast imaging system. The compression assembly includes a pair of compression paddles mounted on a positioning track. Each compression paddle houses a transducer and has a compression material surface for patient contact. A motor moves the compression paddles along the positioning track to immobilize the breast for ultrasound imaging.

A curved compression element, such as a breast compression paddle, and imaging systems and methods for use with curved compression elements. A system may include a radiation source, a detector, and a curved compression element. Operations are performed that include receiving image data from the detector; accessing a correction map for the at least one compression paddle; correcting the image data based on the correction map to generate a corrected image data; and generating an image of the breast based on the corrected image data. The breast compression element generally has no sharp edges, but rather has smooth edges and transitions between surfaces. The breast compression paddle also includes a flexible material that spans a portion of a curved bottom surface of the breast compression paddle to define a gap. The flexible material may be a thin-film material such as a shrink wrap.

A hybrid image based on different tissue specimen images is generated to compensate for blood and other fluids that interfere with imaging. Specimen is deposited into tray with fluid. X-ray and camera imaging devices acquire images of specimen and fluid. X-ray and optical images are processed for generation of hybrid image. Transparency modifications allow for multiple and different images to contribute to depiction of specimen edges or boundaries that would otherwise appear less clear in x-ray image due to interfering fluid. Transparency modifications in hybrid image also provide for sufficiently high transparency in certain optical image portions that would otherwise be opaque so that objects of interest depicted in x-ray image but not optical image are visible.

A magnetic resonant imaging (MRI) review workstation includes a control processor, and a display integrated or otherwise operatively coupled with the control processor, wherein the control processor is configured to receive and analyze magnetic resonant imaging information pertaining to an imaged volume of tissue, and to cause to be displayed on the display output information that reflects or is otherwise indicative of an absorption rate of a contrast agent in the volume of tissue.