Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Rajendra Prasad Jadiyappa

Amit Kale

Yogesh Bathina

Parmeet Singh Bhatia

Antony Louis Piriyakumar Douglas

For personalizing a vessel stent, images associated with a subject generated by various imaging modalities are aggregated. The images are then processed for identifying Regions of Interest (ROIs) and various parameters associated with the ROIs. Further, a model and a composition of the vessel stent to be administered to the subject to alleviate the condition in the vessel are computed. Thereafter, the model is verified for compatibility using information derived from patient stratification parameters. Upon successful verification of the model, a format of the model is generated that can be used directly for fabricating the vessel stent using additive manufacturing processes known in the art.

Method and system for personalizing a vessel stent

The embodiments relate to a method and device for determining plaque deposits in coronary arteries. According to the method, a coronary angiography radiography image of a subject is obtained using an imaging modality. The obtained radiography image is calibrated for further analysis of the radiography image. Image processing techniques such as thresholding and histogram equalization are applied on the radiography image to extract vessel tree structure for analysis. Further, an inner lumen width and an outer vessel width are computed based on the processed radiography image. Further, a level of plaque deposition is determined based on the inner lumen and outer vessel dimensions. Further, the result based on the analysis is displayed to the user. The result includes the level of plaque deposits within the lumen on the vascular structure and possible risks posed by the plaque deposits to a subject.

Determining plaque deposits in blood vessels

A system and a method for indicating at least one of the internal structures of an organ on an X-ray image are proposed. The system includes an interface adapted to receive the X-ray image and a non-X-ray image pertaining to the organ. The system also includes a database having a geometric model of the internal structures of the organ, a first module for determining at least a dimension of one of the internal structures of the organ from the non-X-ray image, and a second module for indicating the at least one of the internal structures of the organ in the X-ray image based on the geometric model adjusted by the at least one dimension.

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Bengaluru, India

Rajendra Prasad Jadiyappa