Systems and methods for automatically detecting anatomical features for preoperative cardiac implant simulations

A system for automated anatomical analysis of an anatomical structure, the system comprising:

• a memory having instructions that when executed by a processor operatively coupled to a computer, cause the computer to:
• obtain a plurality of images of patient-specific cardiovascular anatomy, said plurality of images comprising a plurality of voxels;
• analyze the plurality of images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure, wherein to analyze the plurality of images with the trained artificial intelligence module comprises:
• (i) generate a probability mask, the probability mask comprising a probability value for each voxel of the plurality of voxels, the probability value indicating a probability that said voxel corresponds to the anatomical structure;
• (ii) convert the probability mask to a segmentation mask by comparing each probability value to a threshold value on a voxel-by-voxel basis to assign each voxel of the plurality of voxels a predetermined label corresponding to the anatomical structure if such probability value exceeds the threshold value;
• and
• (iii) generate a segmentation mask comprising each voxel of the plurality of voxels assigned the predetermined label;
• and
• (iv) construct the virtual three-dimensional model of the anatomical structure based on the segmentation mask;
• derive anatomical measurements based on the one or more identified anatomical landmarks;
• obtain specifications of a plurality of implantable devices associated with the anatomical structure;
• display a sizing chart based on the specifications of the plurality of implantable devices and on the anatomical measurements;
• receive input from a user comprising a selection of an implantable device from the plurality of implantable devices;
• and
• display the virtual three-dimensional model of the anatomical structure alongside the anatomical measurements of the one or more identified anatomical landmarks and a virtual model of the selected implantable device.

A non-transitory computer readable medium programmed with instructions that, when executed by a processor of a computer, cause the computer to:

• obtain a plurality of images of patient-specific cardiovascular anatomy, said plurality of images comprising a plurality of voxels;
• analyze the plurality of images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure, wherein to analyze the plurality of images with the trained artificial intelligence module comprises:
• generate a probability mask, the probability mask comprising a probability value for each voxel of the plurality of voxels, the probability value indicating a probability that said voxel corresponds to the anatomical structure;
• convert the probability mask to a segmentation mask by comparing each probability value to a threshold value on a voxel-by-voxel basis to assign each voxel of the plurality of voxels a predetermined label corresponding to the anatomical structure if such probability value exceeds the threshold value;
• and
• generate a segmentation mask comprising each voxel of the plurality of voxels assigned the predetermined label;
• and
• construct the virtual three-dimensional model of the anatomical structure based on the segmentation mask;
• derive anatomical measurements based on the one or more identified anatomical landmarks;
• obtain specifications of a plurality of implantable devices associated with the anatomical structure;
• display a sizing chart based on the specifications of the plurality of implantable devices and on the anatomical measurements;
• receive input from a user comprising a selection of an implantable device from the plurality of implantable devices;
• and
• display the virtual three-dimensional model of the anatomical structure alongside the anatomical measurements of the one or more identified anatomical landmarks and a virtual model of the selected implantable device.

A computer program product comprising code portions with instructions that, when executed by a processor of a computer, cause the computer to:

• obtain a plurality of images of patient-specific cardiovascular anatomy, said plurality of images comprising a plurality of voxels;
• analyze the plurality of images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure, wherein to analyze the plurality of images with the trained artificial intelligence module comprises:
• generate a probability mask, the probability mask comprising a probability value for each voxel of the plurality of voxels, the probability value indicating a probability that said voxel corresponds to the anatomical structure;
• convert the probability mask to a segmentation mask by comparing each probability value to a threshold value on a voxel-by-voxel basis to assign each voxel of the plurality of voxels a predetermined label corresponding to the anatomical structure if such probability value exceeds the threshold value;
• and
• generate a segmentation mask comprising each voxel of the plurality of voxels assigned the predetermined label;
• and
• construct the virtual three-dimensional model of the anatomical structure based on the segmentation mask;
• derive anatomical measurements based on the one or more identified anatomical landmarks;
• obtain specifications of a plurality of implantable devices associated with the anatomical structure;
• display a sizing chart based on the specifications of the plurality of implantable devices and on the anatomical measurements;
• receive input from a user comprising a selection of an implantable device from the plurality of implantable devices;
• and
• display the virtual three-dimensional model of the anatomical structure alongside the anatomical measurements of the one or more identified anatomical landmarks and a virtual model of the selected implantable device.