Samsung Electronics Co., Ltd.

Mikhail Nikolaevich Rychagov

Praveen Gulaka

Dmitry Korobchenko

Alexey Bronislavovich Danilevich

Mikhail Yurievich Sirotenko

Sergey Konstantinovich Ternovoy

Merab Archil'evich Sharia

Dmitry Vladimirovich Ustuzhanin

Dmitry Alexandrovich Korobchenko

A method of automatically registering landmarks in a 3-dimensional (3D) medical image includes obtaining a 3D image; determining a set of search points based on a statistical atlas attached to a bounding box corresponding to a part of the 3D image; extracting features of the determined set of search points; forming a set of candidates for a landmark based on the extracted features; filtering the candidates and outputting remaining candidates among the candidates based on the filtering; and outputting a final position of the landmark based on one of the remaining candidates.

Apparatus and method for automatically registering landmarks in three-dimensional medical image

A method of automatic planning of a view in a 3D image of a brain includes A method of automatic planning a view in a three-dimensional (3D) image of a brain includes selecting a plurality of axial working sections and a plurality of coronal working sections in the 3D scout image; constructing at least one mid-sagittal plane of the brain based on a set of axial reference lines and a set of coronal reference lines obtained from the selected plurality of axial working sections and the selected plurality of coronal working sections, respectively; detecting at least one landmark that is an anatomical point in the at least one mid-sagittal plane; creating a first reference line based on the at least one landmark detected in the at least one mid-sagittal plane; and planning a scan in an orientation based on the at least one mid-sagittal plane and the first reference line.

System and method for automatic planning of views in 3D images of brain

Provided is medical equipment and a technique for analyzing medical images. A method for automatically planning views in three-dimensional (3D) medical images includes: estimating a statistical model indicating positions of anatomical points, the statistical model having parameters calculated by minimizing energy of a loss function; training an anatomical point detector to detect the plurality of anatomical points by using the estimated statistical model; acquiring a 3D image having a region of interest; detecting a set of candidates of the anatomical points in the 3D image; searching the set of candidates for an optimal configuration corresponding to the plurality of anatomical points; and forming a view plane based on the optimal configuration found by the searching.

System and method for automatic planning of two-dimensional views in 3D medical images

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Moscow, Russia

Mikhail Nikolaevich Rychagov