An imaging unit of an MRI apparatus performs imaging of a positioning image of a subject including a spine; a first imaging that images a cross section including the spine and extending along a longitudinal direction of the spine; and a second imaging that images a cross section in a direction of traversing the spine. An automatic cross-section position setting unit detects a specific tissue of the spine using a scout image or an image including the spine acquired in the first imaging step, performs a matching process between the detected specific tissue of the spine and a spine model, and calculates an imaging cross-section position of the second imaging based upon a specific tissue position of the spine specified by matching, thereby performing automatic setting.

For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

A method for determining sub-diffuse scattering parameters of a material includes illuminating the material with structured light and imaging remission by the material of the structured light. The method further includes determining, from captured remission images, sub-diffuse scattering parameters of the material. A structured-light imaging system for determining sub-diffuse scattering parameters of a material includes a structured-light illuminator, for illuminating the material with structured light of periodic spatial structure, and a camera for capturing images of the remission of the structured light by the material. The structured-light imaging system further includes an analysis module for processing the images to quantitatively determine the sub-diffuse scattering parameters. A software product includes machine-readable instructions for analyzing images of remission of structured light by a material to determine sub-diffuse scattering parameters of the material.

A method for correcting a geometric distortion in a diagnostic image, said method comprising the steps of: receiving a segmented volumetric image and a surface scan image, corresponding to a maxillofacial anatomy of a patient; aligning the surface scan mesh to a volumetric image; and applying a transformation to the surface scan image mesh in which the geometry of a HV-LD is altered yielding the surface scan image mesh with tooth crowns closely corresponding to the volumetric image teeth image resulting in a correction for the geometric distortion.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

A skin measuring microscope includes a housing, an electronic imager disposed along an imaging axis, and an illumination system. The illumination system includes a plurality of LEDs disposed in a ring-like configuration adjacent a distal end of the housing.

A method comprises obtaining an endoscopic image dataset of a patient anatomy from an endoscopic imaging system and retrieving an anatomic model dataset of the patient anatomy obtained by an anatomic imaging system. The method also comprises mapping the endoscopic image dataset to the anatomic model dataset and displaying a first vantage point image using the mapped endoscopic image dataset. The first vantage point image is presented from a first vantage point at a distal end of the endoscopic imaging system. The method also comprises displaying a second vantage point image using at least a portion of the mapped endoscopic image dataset. The second vantage point image is presented from a second vantage point, different from the first vantage point.

Systems, devices, and methods for identifying a region of interest are provided. A plurality of skeletal landmarks may be identified from an image received from an imaging device. A pose of a patient may be determined based on the plurality of skeletal landmarks. A region of interest may be identified on the patient based on the determined pose. Instructions may be automatically provided to the controller to adjust a pose of a surgical instrument relative to the region of interest. The plurality of skeletal landmarks may be tracked for movement. The region of interest may be updated when movement of the plurality of skeletal landmarks is detected.

An information processing apparatus according to an embodiment includes a processing circuit. The processing circuit acquires a measurement field corresponding to a spatial distribution of a predetermined physical quantity in a subject of measurement. The processing circuit calculates an unknown quantity in the subject of measurement based on a first equation between the measurement field and the unknown quantity having spatial dependence, and on the acquired measurement field. The first equation is one that is acquired based on a second equation expressing a dual field divergence of which can be expressed using the measurement field, by using the measurement field and the unknown quantity, and on the Helmholtz decomposition of the dual field.

A method and device for documenting use of at least one implant used in a surgery and/or for the localization thereof. The implant can be provided for a surgery and used in the surgery. The method includes: a) providing a surgical set having a plurality of implants; b) capturing a first sequence of images of the plurality of implants of the surgical set using a device; c) analyzing the sequence of images of the plurality of implants in order to identify each individual implant; d) optionally outputting a signal when one and/or each implant has been identified; e) capturing a second sequence of images of the plurality of implants of the surgical set using the device after a surgery in order to ascertain missing implants; f) classifying a missing implant as used in surgery.