EOS adds distributors in Singapore, U.S.

AuntMinnie.com staff writers

Jun 11, 2012

Orthopedic digital imaging firm EOS Imaging announced that it has signed an exclusive contract with Singapore-based medical equipment distributor QST Group.

The company said that this distribution agreement will enable it to start selling its 2D/3D orthopedic imaging products in Southeast Asia.

In addition, EOS Imaging has signed partnerships with distributors in the U.S. that expand its direct sales network to 13 states in the Midwest.

Dice similarity index measurements compare the x-ray pulsatility index (XPI) to digital subtraction angiography in patients with suspected chronic thromboembolic pulmonary hypertension. XPI is green, pulmonary angiography is pink and the overlap between the two is white. Image courtesy of the ARRS.

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ARRS: Noncontrast fluoroscopy method can image chronic hypertension

By Amerigo Allegretto

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Dice similarity index measurements compare the x-ray pulsatility index (XPI) to digital subtraction angiography in patients with suspected chronic thromboembolic pulmonary hypertension. XPI is green, pulmonary angiography is pink and the overlap between the two is white. Image courtesy of the ARRS.

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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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