In a multi-session imaging study, information from a previous imaging session is stored in a Binary Large Object (BLOB). Current emission imaging data are reconstructed into a non-attenuation corrected (NAC) current emission image. A spatial transform is generated aligning a previous NAC emission image from the BLOB to the current NAC emission image. A previous computed tomography (CT) image from the BLOB is warped using the spatial transform, and the current emission imaging data are reconstructed with attenuation correction using the warped CT image. Alternatively, low dose current emission imaging data and a current CT image are acquired, a spatial transform is generated aligning the previous CT image to the current CT image, a previous attenuation corrected (AC) emission image from the BLOB is warped using the spatial transform, and the current emission imaging data are reconstructed using the current CT image with the warped AC emission image as prior.

An object of the present invention is to provide a dispensing audit support apparatus and a dispensing audit support method with a high collation accuracy robustness. According to a dispensing audit support apparatus according to one aspect of the present invention, since a position, shape and size of a region of interest are set according to a position of a collation-target medicine in a captured image, and a position, shape and size of a master image are set according to the set region of interest, it is possible to avoid or reduce distortion of the medicine shape, blur, inclusion of an end part into the image, and the like due to the position and orientation of the collation-target medicine. Therefore, influence on collation accuracy is small, and it is possible to enhance the robustness of the collation accuracy.

An object of the present invention is to provide a dispensing audit support apparatus and a dispensing audit support method with a high collation accuracy robustness. According to a dispensing audit support apparatus according to one aspect of the present invention, since a position, shape and size of a region of interest are set according to a position of a collation-target medicine in a captured image, and a position, shape and size of a master image are set according to the set region of interest, it is possible to avoid or reduce distortion of the medicine shape, blur, inclusion of an end part into the image, and the like due to the position and orientation of the collation-target medicine. Therefore, influence on collation accuracy is small, and it is possible to enhance the robustness of the collation accuracy.

A magnetic resonance (MR)-radiotherapy (RT) hybrid system for treating a patient is disclosed. The MR-RT hybrid system comprises: an MR imaging (MRI) apparatus comprising bi-planar magnets configured to generate a magnetic field; a radiation source configured to supply a radiation beam to treat the patient; a gantry configured to couple the MR apparatus at a first end and the radiation source so that they can rotate in unison; a treatment support configured to support the patient; a motor configured to move the treatment support; and a controller. The controller comprises a processor and memory having stored thereon instructions, which when executed by the processor, cause the motor to move the treatment support in order to avoid collision between the MRI apparatus and the patient when the MRI apparatus is rotated. A method for positioning the treatment support within the MR-RT hybrid system is also disclosed.

Information associated with a radiation treatment plan includes, for example, values of dose per voxel in a target volume, values of dose rate per voxel in the target volume, and values of parameters used when generating the values of dose per voxel and the values of dose rate per voxel. Renderings that include, for example, a rendering of an image of or including the target volume, and a rendering of selected values of the radiation treatment plan, are displayed. When a selection of a region of one of the renderings is received, a displayed characteristic of another one of the renderings is changed based on the selection.

The invention relates generally to systems and methods for a medical data marketplace where de-identified medical data can be offered for sale or licensing, and prospective customers can search for the medical data using various criteria. The marketplace facilitates clinical research activities, clinical trials, medical research, medical technology development, and the like, while preserving HIPPA privacy protections, and allows medical data owners to monetize the data in an efficient manner.

The invention relates generally to systems and methods for a medical data marketplace where de-identified medical data can be offered for sale or licensing, and prospective customers can search for the medical data using various criteria. The marketplace facilitates clinical research activities, clinical trials, medical research, medical technology development, and the like, while preserving HIPPA privacy protections, and allows medical data owners to monetize the data in an efficient manner.

A downloadable navigator for a mobile ultrasound unit having an ultrasound probe, implemented on a portable computing device. The navigator includes a trained orientation neural network to receive a non-canonical image of a body part from the mobile ultrasound unit and to generate a transformation associated with the non-canonical image, the transformation transforming from a position and rotation associated with a canonical image to a position and rotation associated with the non-canonical image; and a result converter to convert the transformation into orientation instructions for a user of the probe and to provide and display the orientation instructions to the user to change the position and rotation of the probe.

A downloadable navigator for a mobile ultrasound unit having an ultrasound probe, implemented on a portable computing device. The navigator includes a trained orientation neural network to receive a non-canonical image of a body part from the mobile ultrasound unit and to generate a transformation associated with the non-canonical image, the transformation transforming from a position and rotation associated with a canonical image to a position and rotation associated with the non-canonical image; and a result converter to convert the transformation into orientation instructions for a user of the probe and to provide and display the orientation instructions to the user to change the position and rotation of the probe.

A visualization system including multiple light sources, an image sensor configured to detect imaging data from the multiple light sources, and a control circuit is disclosed. At least one of the light sources is configured to emit a pattern of structured light. The control circuit is configured to receive the imaging data from the image sensor, generate a three-dimensional digital representation of the anatomical structure from the pattern of structured light detected by the imaging data, obtain metadata from the imaging data, overlay the metadata on the three-dimensional digital representation, receive updated imaging data from the image sensor, and generate an updated three-dimensional digital representation of the anatomical structure based on the updated imaging data. The visualization system can be communicatively coupled to a situational awareness module configured to determine a surgical scenario based on input signals from multiple surgical devices.