The present disclosure provides a medical image analysis method and apparatus. The medical image analysis method according to an exemplary embodiment includes: receiving a frontal image of a spine; separating vertebral bodies from a vertebrae constituting the spine in the frontal image and extracting a contour of each of the vertebral bodies; deforming a 3D vertebral body model prepared in advance to match with the contour of each vertebral body; detecting an upper plane and a lower plane of each vertebral body in a matched 3D vertebral body model; determining an inclination of each vertebral body based on the upper plane and the lower plane of each vertebral body; and calculating a Cobb's angle based on the inclination of the vertebral body.

The present disclosure provides a method of positioning vertebra in a CT image, an apparatus, a computer device, and a computer readable storage medium. The method includes: pre-processing vertebra CT image data; inputting the pre-processed vertebra CT image data into a pre-trained neural network to obtain regression results of heat maps of key points corresponding to the pre-processed vertebra CT image data; regressing of 3D heat maps corresponding to the positions of the key points of the vertebra mass center based on the regression results of the heat maps of the key points and the pre-processed vertebra CT image data; serving 3D heat maps corresponding to the positions of the key points of the vertebra mass center as labels, and networked regressing 3D heat map information to position the vertebra. Effects caused by scanning machine difference and scanning noise are avoided, and the vertebra with complex forms is accurately positioned.

Disclosed are systems and methods for rapid generation of simulations of a patient's spinal morphology that enable pre-operative viewing of a patient's condition and to assist surgeons in determining the best corrective procedure and with any of the selection, augmentation or manufacture of spinal devices based on the patient specific simulated condition. The simulation is generated by morphing a generic spine model with a three-dimensional curve representation of the patient's particular spinal morphology derived from existing images of the patient's condition. Other anatomical structures in the patient's skeletal system are likewise simulated by morphing a generic normal skeletal model, as applicable, particularly those skeletal entities that are connected directly or indirectly to the spinal column

A surgical navigation system includes a source of a patient anatomy data, wherein the patient anatomy data comprises a three-dimensional reconstruction of a segmented model comprising at least two sections representing parts of the anatomy. A surgical navigation image generator is configured to generate a surgical navigation image comprising the patient anatomy. A 3D display system is configured to show the surgical navigation image wherein the display of the patient anatomy is selectively configurable such that at least one section of the anatomy is di splayed and at least one other section of the anatomy is not displayed.

According to some embodiments, 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.

An imaging system and method of acquiring image data is disclosed. The imaging system is operable to acquire and/or generate image data at positions relative to a subject. The imaging system includes a drive system configured to move the imaging system.

Apparatus and methods are described including acquiring 3D image data of a skeletal portion. While a tool that is coupled to a robot is disposed at a first location along an insertion path, two 2D x-ray images are acquired from respective views. A computer processor (i) determines the first location with respect to the 3D image data based upon identifying the first location within the 2D x-ray images and registering the 2D x-ray images to the 3D image data, and (ii) derives a relationship between the first location and a given location within the 3D image data. Subsequently, the robot moves the tool to a second location responsively to the derived relationship. The processor tracks the motion of the robot relative to the first location, derives the second location, and drives a display to display the second location. Other applications are also described.

A system for surgical planning and assessment of spinal deformity correction is provided that has a spinal imaging system and a control unit. The spinal imaging system is configured to collect at least one digitized position of one or more vertebral bodies of a subject. The control unit is configured to receive the at least one digitized position, and calculate, based on the at least one digitized position, an optimized posture for the subject. The control unit is configured to receive one or more simulated spinal correction inputs, and based on the inputs and optimized posture, predict an optimal simulated postoperative surgical correction.

A method and system is disclosed for analyzing and evaluating image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. More than one projection may be combined to generate and create a selected view of the subject. The evaluation may be a location determination of a member positioned within the subject.

A method for detecting and creating magnetic resonance imaging anatomical outlines of a subject, including acquiring magnetic resonance imaging signals of a selected region of interest of the subject's anatomy, processing the magnetic resonance imaging signals to determine image pixel intensity. calculating a mean intensity value associated with the center location of the selected region of interest, and determining concentric interior and exterior anatomical outlines surrounding the center location. Image pixels with an intensity value greater than the mean intensity value by a first threshold amount are designated as part of the interior anatomical outline. Image pixels with an intensity value less than the mean intensity value by a second threshold amount are designated as part of the exterior anatomical outline.