3d Imaging Partners

Other

Domenico Ciambrone

Robert E Lenkinski

Filip Shteriev

Saso Koceski

Lionel Lenkinski

Systems and methods for processing a segmented volume from magnetic resonance images that corresponds to a nerve are provided. The segmented volume can be processed to generate a report that provides complementary information on the state or condition of tissues contained in the segmented nerve volume. For example, the segmented volume can be processed to identify regions of suspected inflammation, or other pathology such as demyelination, of the nerve tissue contained in the segmented volume. The systems and methods described here provide a user-defined approach to identifying regions of suspected inflammation, or other pathology, in a segmented nerve volume.

Systems and methods for assessing nerve inflammation based on a segmented magnetic resonance image volume

Systems and methods for segmenting a nerve in a three-dimensional image volume obtained with a magnetic resonance imaging ('MRI') system are provided. A three-dimensional image volume that depicts a nerve and surrounding anatomical structures is provided and from that image volume the nerve is segmented. In general, a curved multiplanar reformatting ('CMPR') process is utilized to mark, segment, and then display the nerve in three dimensions.

System and method for three-dimensional nerve segmentation using curved multiplanar reformatting magnetic resonance imaging

Systems and methods for segmenting a nerve in a three-dimensional image volume obtained with a magnetic resonance imaging ('MRI') system are provided. A three-dimensional image volume that depicts a nerve and surrounding anatomical structures is provided and from that image volume the nerve is segmented. At least one control point is selected as a point in the image volume that is associated with the nerve. The three-dimensional volume corresponding to the nerve is then generated by propagating the three-dimensional volume outward from the selected at least one control point and through the image volume. The extracted three-dimensional volume corresponding to the nerve can be displayed while selectively displaying the surrounding anatomical structures.

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L'Aquila, Italy

Domenico Ciambrone