A user input obtainer receives an image movement instruction including identification information specifying a position shift or an image capture time shift to be performed and also including a displacement amount. When the identification information specifies the position shift, a slice position selector determines a tomographic image at a destination of the position shift based on the displacement amount from a set of tomographic images captured at the same time. On the other hand, when the identification information specifies the image capture time shift, the image capture time selector determines a tomographic image at a destination of the shift based on the displacement amount from sets of tomographic images that are identical to each other in terms of a patient, an examination portion, and a modality. A displaying image obtainer reads out the determined tomographic image from an image storage device and gives it to a display information generator.

A system and method for supporting multi-probe guidance are disclosed. The system comprises: a medical guidance apparatus comprising: a rotatable portion which is rotatable around a first axis; an arc guide attached to or integrally formed with the rotatable portion, and a probe holder movably mounted on the arc guide. The probe holder is rotatable around a second axis perpendicular to the first axis by being translated along an arcuate path defined by the shape of the arc guide. In one embodiment, the probe holder includes a plurality of probe channels to guide a corresponding plurality of probes parallel to each other towards a subject. In other embodiment, the probe holder includes a single probe channel which is offset from a center point of the guidance apparatus by a fixed distance such that each probe can be inserted sequentially through a different insertion point without colliding at the center point.

An encoder includes a processor and a memory. The memory includes code as instructions that cause the processor to receive geometric data and a viewpoint associated with the geometric data, and quantize the geometric data based on the viewpoint using a plurality of view-dependent quantization values each having a quantized distance based on a proximity to the viewpoint.

An image processing apparatus and method are provided. The image processing apparatus acquires a target image including a depth image of a scene, determines three-dimensional (3D) point cloud data corresponding to the depth image based on the depth image, and extracts an object included in the scene to acquire an object extraction result based on the 3D point cloud data.

A system and a computer-implemented method of evaluating a formation. The system includes a plurality of acoustic transmitters and acoustic receivers and a processor. Acoustic data is obtained from the formation using the plurality of acoustic transmitters and acoustic receivers. The acoustic data is projected into a plurality of image planes and a feature in one of the image planes is selected. The plurality image planes are scrolled through in order to determine the three-dimensional structure of the feature. The formation is drilled based on the three-dimensional structure of the feature.

A user had to manually select a cross-sectional image indicating features of a finding and a cross-sectional image displayed in a report, from a three-dimensional medical image. Provided is an image processing apparatus that includes: a unit configured to acquire a target finding of a medical image; a unit configured to calculate an image feature quantity of a type associated in advance with the target finding, for each of a plurality of cross-sectional images of the medical image; and a unit configured to identify a cross-sectional image from the plurality of cross-sectional images based on the calculated image feature quantity. Operation of selecting a cross-sectional image by a doctor can be omitted, and the burden can be reduced.

A user input obtainer receives an image movement instruction including identification information specifying a position shift or an image capture time shift to be performed and also including a displacement amount. When the identification information specifies the position shift, a slice position selector determines a tomographic image at a destination of the position shift based on the displacement amount from a set of tomographic images captured at the same time. On the other hand, when the identification information specifies the image capture time shift, the image capture time selector determines a tomographic image at a destination of the shift based on the displacement amount from sets of tomographic images that are identical to each other in terms of a patient, an examination portion, and a modality. A displaying image obtainer reads out the determined tomographic image from an image storage device and gives it to a display information generator.

Described herein are systems, methods, and instrumentalities associated with automatically annotating a 3D image dataset. The 3D automatic annotation may be accomplished based on a 2D annotation provided by an annotator and by propagating the 2D annotation through multiple images of a sequence of 2D images associated with the 3D image dataset. The automatically annotated 3D image dataset may then be used to annotate other 3D image datasets based on similarities between the first 3D image dataset and the other 3D image datasets. The automatic annotation of the first 3D image dataset and/or the other 3D image datasets may be conducted based on one or more machine-learning models trained for performing those tasks.

Registration-based interpolation between images slices is provided. In various embodiments, a plurality of 2D images is read. Each of the plurality of 2D images represents a slice of a 3D volume. A plurality of annotations is read for a subset of the plurality of 2D images. The annotations comprise at least one anatomical label. 2D images lacking annotations are selected from the plurality of 2D images. The at least one anatomical label is propagated from the subset of the plurality of 2D images to the selected 2D images by deformable registration.

A system and method for modifying features in designs of objects to make them physically capable of being manufactured using additive manufacturing techniques and machines is provided.