The present invention provided a method for diagnosing scoliosis degree using spatial coordinates may include obtaining spatial coordinates corresponding to left, right and center points of shoulders, pelvis and legs of a subject, calculating both height deviations between left and right shoulders and between left and right pelvis, respectively, obtaining a first scoliosis degree by combining the height deviations, calculating a length deviation between the left and right legs, obtaining a second scoliosis degree by the length deviation and, determining a final scoliosis degree by summing the first and second scoliosis degrees.

The present disclosure relates to a spinal stenosis diagnostic method and apparatus and the spinal stenosis diagnostic method includes: sequentially receiving a phase contrast magnetic resonance imaging in each time interval captured by normalizing one cardiac cycle with a plurality of time intervals; obtaining a cerebrospinal fluid velocity distribution in each normalized time interval from the phase contrast magnetic resonance imaging of each time interval; calculating a turbulence kinetic energy using the cerebrospinal fluid velocity distribution obtained at every time interval; and diagnosing the spinal stenosis using the calculation result of the turbulence kinetic energy.

The present invention relates to an imaging system (10) for a vertebral level, an identification method for a vertebral level, a computer program element for controlling such system and a computer readable medium having stored such computer program element. The imaging system (10) comprises a determination unit (11), a definition unit (12), an imaging unit (13), and a processing unit (14). The determination unit (11) determines a target vertebral level. The definition unit (12) defines an anatomical landmark of a spine. The imaging unit (13) provides a series of X-ray images along the spine based on the landmark. The processing unit (14) identifies the target vertebral level in at least one of the X-ray images. The processing unit (14) further stitches the X-ray images to a continuous panoramic image of the spine and identifies the target vertebral level in the panoramic image.

The present disclosure relates to the technical field of medical image processing and, in particular, to a liver boundary identification method and a system. The method includes: obtaining liver tissue information of a liver tissue to be identified; identifying a liver tissue boundary in the liver tissue information according to a feature of the liver tissue corresponding to the liver tissue information and a feature of the liver tissue boundary corresponding to the liver tissue information using an image processing technology or a signal processing technology; and outputting position information of the identified liver tissue boundary. By using the disclosed method, the liver tissue boundary can be identified automatically, the efficiency of identifying the liver boundary can be improved, and automatic positioning of the liver boundary can thus be achieved.

According to the invention, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of S1 et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.

According to the invention, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of S1 et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.

According to the invention, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of Si et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.

The present disclosure relates to the generation of partial surface models from volumetric datasets for subsequent registration of such partial surface models to surface topology datasets. Specifically, given an object that is imaged using surface topology imaging and another volumetric modality, the volumetric dataset is processed in combination with an approach viewpoint to generate one or more partial surfaces of the object that will be visible to the surface topology imaging system. This procedure can eliminate internal structures from the surfaces generated from volumetric datasets, thus increases the similarity of the dataset between the two different modalities, enabling improved and quicker registration.

A framework for pedicle screw positioning is described herein. In accordance with one aspect, the framework segments at least one vertebra of interest in image data. The framework then automatically determines a pedicle region within the segmented vertebra of interest, and a safe region within the segmented vertebra of interest. An optimal insertion path passing through the pedicle region may then be generated within the safe region.

A magnetic resonance imaging apparatus according to embodiments includes processing circuitry. The processing circuitry is configured to detect, defining at least either intervertebral discs or vertebral bodies as target regions, target region information indicative of a position and a direction of each target region for each of a plurality of target regions included in a spine of a subject based on an image in which the spine is imaged; select target regions of imaging subjects out of the target regions based on the target region information; and cause a display to display, regarding the target regions, information representing imaging areas that concern the target regions of imaging subjects and information representing imaging areas that concern other target regions in different display forms.