The present invention is related to a method and system for acquiring information on lesions in dynamic 3D medical images of a body region and/or organ. The method comprises the steps of : - applying a registration technique to align a plurality of volumetric image data of the body region and/or organ, yielding multi-phase registered volumetric image data of the body region and/or organ, - applying a hierarchical segmentation on the multi-phase registered volumetric image data of the body region and/or organ, said segmentation yielding a plurality of clusters of n-dimensional voxel vectors of the muiti-phase aligned volumetric image, - determining from the plurality of clusters a cluster or set of clusters delineating the body and/or organ, - identifying the connected region(s) of voxel vectors belonging to the body region and/or organ, - refine/fill the connected region(s); corresponding to the body region and/or organ - reapplying the segmentation step to the refined/filled connected region(s) corresponding to the body region and/or organ, to obtain a more accurate segmentation, - acquiring information on the presence of lesions in a cluster or set of clusters of said plurality of clusters.
Temmermans, F, Method and system for lesion segmentation, Patent No. EP2120208.
Temmermans, F. (1970). Method and system for lesion segmentation. (Patent No. EP2120208).
@misc{f4976ccfbbfa4ecab25b97535c79b3f6,
title = "Method and system for lesion segmentation",
abstract = "The present invention is related to a method and system for acquiring information on lesions in dynamic 3D medical images of a body region and/or organ. The method comprises the steps of : - applying a registration technique to align a plurality of volumetric image data of the body region and/or organ, yielding multi-phase registered volumetric image data of the body region and/or organ, - applying a hierarchical segmentation on the multi-phase registered volumetric image data of the body region and/or organ, said segmentation yielding a plurality of clusters of n-dimensional voxel vectors of the muiti-phase aligned volumetric image, - determining from the plurality of clusters a cluster or set of clusters delineating the body and/or organ, - identifying the connected region(s) of voxel vectors belonging to the body region and/or organ, - refine/fill the connected region(s); corresponding to the body region and/or organ - reapplying the segmentation step to the refined/filled connected region(s) corresponding to the body region and/or organ, to obtain a more accurate segmentation, - acquiring information on the presence of lesions in a cluster or set of clusters of said plurality of clusters.",
keywords = "segmentation, liver, lesion",
author = "Frederik Temmermans",
year = "1970",
language = "English",
type = "Patent",
note = "EP2120208",
}