Abstract: Robotic guide for slender elongated medical device (SEMD) includes first and a second guide mechanisms, each including a pair of adjacent control plates. First and second transverse guide slots defined in pairs of adjacent control plates control a position of an SEMD guide having a spherical outer bearing surface. The guide position is controlled by selectively varying a relative position of the adjacent control plates, whereby robotic control is obtained over both a lateral displacement of an SEMD axis and an insertion angle of an SEMD alignment axis.

Abstract: Robotic guide for slender elongated medical device (SEMD) includes first and a second guide mechanisms, each including a pair of adjacent control plates. First and second transverse guide slots defined in pairs of adjacent control plates control a position of an SEMD guide having a spherical outer bearing surface. The guide position is controlled by selectively varying a relative position of the adjacent control plates, whereby robotic control is obtained over both a lateral displacement of an SEMD axis and an insertion angle of an SEMD alignment axis.

Abstract: A computing system accesses complementary image data of a biological tissue structure (BTS), which can include a human cardiovascular structure. The complementary image data is comprised of two-dimensional images which represent different views of the BTS respectively aligned with a plurality of distinct image planes. A plurality of separate convolutional neural networks (CNNs) are used to respectively process each of the plurality of two-dimensional images. Each CNN determines a probability map which is then adaptively fused into a single segmented output. A contouring operation is automatically performed to calculate at least one clinical measurement and/or create at least one 3D volume.