University of Pennsylvania

New York University

Chamith Sudesh Rajapakse

Gregory Chang

Abhinav Suri

In some examples, a method includes receiving a medical image of at least a portion of a spine in a patient. The method includes supplying the medical image to a neural network trained using training spine images and, for each training spine image, one or more spine measurement annotations. The method includes detecting, using the neural network, five or more vertebral landmarks for each of a plurality of vertebral bodies depicted in the medical image. The method includes outputting, for at least a first vertebral body, one or more deformity measurements based on the vertebral landmarks for the first vertebral body.

Automated spine health assessment using neural networks

Methods, systems, and computer readable media for 3D printing from images, e.g., medical images or images obtained using any appropriate volumetric imaging technology. In some examples, a method includes receiving, from a medical imaging device, a multi-dimensional image of a structure. The method includes, for each two dimensional (2D) slice of the multi-dimensional image, converting, row-by-row for each row of the 2D slice, voxels of the 2D slice into 3D printing instructions for the 2D slice. The method includes 3D printing, by controlling a 3D printing extruder, a physical model based on the structure by 3D printing, slice by slice, each 2D slice using the 3D printing instructions.

Three-dimensional printing from images

Methods, systems, and computer readable media for non-invasively predicting patient-specific mechanical competence at an anatomical site. In some examples, a method includes receiving images from the anatomical site of a patient; using computational analysis of the images to simulate mechanical loading at the anatomical site; and generating, based on the analysis, an indication of stiffness, strength, resilience or toughness under the mechanical loading conditions.

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Cherry Hill, NJ, United States of America

Chamith Sudesh Rajapakse