Methods and systems for navigating to a target through a patient's bronchial tree are disclosed including a bronchoscope, a probe insertable into a working channel of the bronchoscope including a location sensor, and a workstation in operative communication with the probe and the bronchoscope the workstation including a user interface that guides a user through a navigation plan and is configured to present a three-dimensional (3D) view for displaying a 3D rendering of the patient's airways and a corresponding navigation plan, a local view for assisting the user in navigating the probe through peripheral airways of the patient's bronchial tree to the target, and a target alignment view for assisting the user in aligning a distal tip of the probe with the target.

A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire medical image data on the basis of tomosynthesis imaging of a test object, and input the acquired medical image data of the test object to a trained model to acquire a two-dimensional image data, the trained model being generated by learning of two-dimensional image data on the basis of X-ray imaging of a person and image data on the basis of tomosynthesis imaging of the person who is subjected to the X-ray imaging.

Embodiments are provided for improved analysis of surgically explanted pathology samples or other varieties of tissue sample by guiding the sectioning of those samples using high-resolution volumetric imaging data. Such imaging data can include micro-CT imaging data. Improved sample imaging and visualization methods facilitate pathological analysis of the sample, guiding the sectioning of the sample to planes most likely to provide highly valuable and accurate data about sample margins relative to tumors or other target structures, tissue type cell morphology or other properties of a tumor or other target structure, or other clinically relevant data that could be missed were the tissue sample not sectioned along such image-guided plane(s). A projector or augmented-reality device can be used to indicate, to a pathologist, the location of structures of interest within the sample and/or the location of a sectioning gig could be detected/controlled relative to a display of the imaging data.

In a method for transformation of a 3D representation of a part of a body, a central axis of the part of the body to be represented is defined, and a transformation surface that is axis-symmetrical to the central axis is defined. The transformation surface is transformed into a plane and a transformation of the voxels representing the part of the body oriented to the transformed transformation surface is carried out.

An effect of a treatment on an organ, e.g., a lung, is assessed by acquiring a first measurement for each of a plurality of regions of the organ, and then acquiring a second measurement for each of the plurality of regions of the organ, after acquisition of the first measurements. A regional change measurement is obtained for each of the plurality of regions of the organ based on the first measurement and the second measurement of the region. A treatment effect is then determined based the plurality of regional change measurements and treatment information of the treatment delivered to the organ.

A processor generates a structure-highlighted synthesized two-dimensional image from a plurality of tomographic images and detects a structure of interest from the plurality of tomographic images and the structure-highlighted synthesized two-dimensional image. The processor sets at least some of the plurality of tomographic images as storage-required images or non-storage-required images according to a result of comparison between the structure of interest detected from the plurality of tomographic images and the structure of interest detected from the structure-highlighted synthesized two-dimensional image.

A processor is configured to set whether or not to generate a structure-highlighted synthesized two-dimensional image from a plurality of tomographic images and to set at least some of the plurality of tomographic images as storage-required images or non-storage-required images according to a result of the setting of whether or not to generate the structure-highlighted synthesized two-dimensional image.

Systems and methods for breast x-ray tomosynthesis that enhance spatial resolution in the direction in which the breast is flattened for examination. In addition to x-ray data acquisition of 2D projection tomosynthesis images ETp1 over a shorter source trajectory similar to known breast tomosynthesis, supplemental 2D images ETp2 are taken over a longer source trajectory and the two sets of projection images are processed into breast slice images ETr that exhibit enhanced spatial resolution, including in the thickness direction of the breast. Additional features include breast CT of an upright patient's flattened breast, multi-mode tomosynthesis, and shielding the patient from moving equipment.

A method and a corresponding system are provided. The method comprises steps of providing 2D images and subsequently detecting outlines of a primary structure in each of the images. A visual representation of the 2D images is generated and the 2D images are then arranged as 2D slices in a 3D visual representation. To this end, at least two of the 2D images are taken at different imaging angles. The method provides a 3D visual representation of a region of interest comprising a primary structure to support a spatial sense of a user.

A mobile radiography apparatus is configured to sparsely sample radiographic projection images to generate high resolution tomosynthesis volume images using a digital radiographic detector that is mechanically uncoupled from the x-ray source and an artificial intelligence network. The artificial intelligence network is trained to correct a volume image generated from sparsely sample projection images to generate the high resolution tomosynthesis volume images.