Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Corporation

Thomas Pohl

Peter Durlak

Dorin Comaniciu

Terrence Chen

Xiaoguang Lu

Tong Fang

Rainer Schneider

Yunqiang Chen

Ti-chiun Chang

Stefan Böhm

Michelle Xiaohong Yan

Markus Roβmeier

In a method and apparatus for visualizing the position of a medical object in a body of an examination object, a stack of sectional images through the body, acquired by operation of a magnetic resonance imaging system, is provided to a processor, which implements sectional-image-specific pixel coding of the sectional images. This is followed by the creation of a combination image composed of a combination of a number of coded sectional images from the stack, and representation of the combination image.

Method and apparatus visualizing a medical object

Stent marker detection is automatically performed. Stent markers in fluoroscopic images or other markers in other types of imaging are detected using a machine-learnt classifier. Hierarchal classification may be used, such as detecting individual markers with one classifier and then detecting groups of markers (e.g., a pair) with a joint classifier. The detection may be performed in a single image and without user indication of a location.

Stent marker detection using a learning based classifier in medical imaging

A method for enhancing stent visibility in digital medical images includes providing a time series of 2-dimensional (2D) images of a stent in a vessel, estimating motion of the stent in a subset of images of the time series of images, estimating motion of clutter in the subset of images, where clutter comprises anatomical structures other than the stent, estimating a clutter layer in the subset of images from the estimated clutter motion, estimating a stent layer in the subset of images from the clutter layer and the estimated clutter motion, and minimizing a functional of the estimated stent motion, the estimated stent layer, the estimated clutter motion, and the estimated clutter layer to in calculate a refined stent layer image, where the refined stent layer image has enhanced visibility of the stent.

System and method for multi-image based stent visibility enhancement

Stent viewing is provided in medical imaging. Stent images are provided with minimal or no user input of spatial locations. Images showing contrast agent are distinguished from other images in a sequence. After aligning non-contrast images, the images are compounded to enhance the stent. The contrast agent images are used to identify the vessel. A contrast agent image is aligned with the enhanced stent or other image to determine the relative vessel location. An indication of the vessel wall may be displayed in an image also showing the stent. A preview images may be output. A guide wire may be used to detect the center line for vessel identification. Various detections are performed using a machine-trained classifier or classifiers.

Stent viewing using a learning based classifier in medical imaging

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Marloffstein, Germany

Thomas Pohl