Ziehm acquires OrthoScan

AuntMinnie.com staff writers

Sep 26, 2011

C-arm developer Ziehm Imaging is expanding its market presence in the U.S. with its acquisition of orthopedic imaging and C-arm developer OrthoScan.

Based in Scottsdale, AZ, OrthoScan is a privately held medical device company with imaging products for orthopedics and a mini C-arm designed for fluoroscopic imaging of the extremities in orthopedic surgery and digital diagnostic imaging.

In its announcement, Ziehm Imaging noted that the companies' product lines complement each other in different surgical segments, allowing for new business opportunities. Ziehm Imaging employs more than 340 people worldwide.

Financial details of the acquisition were not immediately disclosed.

Test set images with ground truth (teal, red) and model predictions (green, yellow), with true positives (green), false positives (yellow), and false negatives (red). Predictions from the 6x-YOLOv5 ensemble trained on histogram equalized input images with a y = 0.2 avalanche scheme, achieving 0.536 precision, 0.795 recall, and 0.723 F2 score. Image and caption courtesy of Scientific Reports.

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(a) Raw example of a dynamic digital radiograph. (b) Contrast equalization using contrast-limited adaptive equalization shows improved anatomical visualization. (c) Training data is generated through manually labeling using SLEAP’s graphical user interface. (d-e) Neural network detection schematic. For each quadrant a series of two networks were used. The first identifies the quadrant center, the second using input of the first, then identifies individual anatomical landmarks within a quadrant. (d) Four neural networks were trained, each with the objective of identifying a chest quadrant centroid. The four separate quadrants are visualized as colored boxes (right upper quadrant, green; right lower quadrant, blue; left upper quadrant, red; left lower quadrant, yellow). (e) Serial centroid then anatomical identification. Two quadrant examples showing confidence maps of trained neural networks identifying quadrant centroids (left) and then anatomical confidence maps (right). Image and caption courtesy of Chest Pulmonary.

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