摘要:
The invention relates to a method and a corresponding apparatus and system for localizing a spine in an image, in particular a computed tomography (CT) image, of a human or animal body, allowing for a reduced need for computational power and/or memory on the one hand and assuring a reliable localization of the spine on the other hand. The method according to the invention comprises the following steps: a) acquiring a plurality of slice images (20 - 22) of at least a part of a human or animal body and b) automatically selecting slice images and/or parts of slice images from the acquired plurality of slice images (20 - 22) by considering at least one parameter (µ z , ν z , σ z , Λ z ) characterizing a distribution of bones (1 - 4) in said acquired slice images (20 - 23), wherein said selected slice images and/or parts of the slice images comprising image information about the spine.
摘要:
The invention relates to a method and an according apparatus and system for labeling one or more parts of a spine in at least one magnetic resonance (MR) image (30) of a human or animal body, said method comprising the following steps: transforming the image (30) having a first number of intensity levels into a target image (33) having a second number of intensity levels, the second number of intensity levels being smaller than the first number of intensity levels, by considering the entropy of texture variations in one or more training images; determining a position, in particular a center position, in each of the one or more parts of the spine in the target image (33); and labeling the determined position of the one or more parts of the spine in the image (30) or the target image (33) with anatomical labels.
摘要:
The invention relates to a method and an according apparatus and system for labeling one or more parts of a spine in an image, in particular a computed tomography (CT) image, of a human or animal body. In order to achieve a reliable spine labeling and a high throughput of images the following steps are provided: a) matching a model of a spine segment with segments of the spine in the image by starting matching said model of a spine segment with an initial segment of the spine in the image, wherein said initial segment of the spine in the image being located at an initial position along the spine in the image, and by continuing matching said model of a spine segment with one or more further segments of the spine in the image, wherein said further segments of the spine in the image being located at further positions along the spine in the image, wherein said model of a spine segment relates to anatomical properties of one or more parts of a spine, and b) labeling one or more parts of the spine in the image in response to step a).
摘要:
The invention relates to a method and an according apparatus and system for reliably identifying a specific part of a spine, in particular a specific vertebra, in an image, in particular a computed tomography (CT) image, of a human or animal body, comprising the following steps: a) determining one or more parts, in particular vertebrae, of the spine in the image, b) determining one or more discriminative parameters for each of said parts of the spine in the image, wherein the discriminative parameters relate to at least one anatomical property of each of said parts of the spine, c) classifying the discriminative parameters of said parts of the spine in the image and d) identifying said specific part of the spine based on the classification of the discriminative parameters of said parts of the spine in the image. An accordingly identified vertebra, in particular the T12 vertebra and/or its associated intervertebral discs, can be used advantageously as a starting point of powerful automatic spine labeling algorithms.
摘要:
A pipe-line method for multi-label segmentation of anatomic structures in a medical image by means of a convolutional neural network trained with a weighted loss function that takes into account under-representation of at least one anatomical structure in the ground-truth mask relative to other anatomical structures. Different architectures for the convolutional neural network are described.
摘要:
The invention relates to a method and an according apparatus and system for labeling one or more parts of a spine in an image, in particular a computed tomography (CT) image, of a human or animal body. In order to achieve a reliable spine labeling and a high throughput of images the following steps are provided: a) matching a model of a spine segment with segments of the spine in the image by starting matching said model of a spine segment with an initial segment of the spine in the image, wherein said initial segment of the spine in the image being located at an initial position along the spine in the image, and by continuing matching said model of a spine segment with one or more further segments of the spine in the image, wherein said further segments of the spine in the image being located at further positions along the spine in the image, wherein said model of a spine segment relates to anatomical properties of one or more parts of a spine, and b) labeling one or more parts of the spine in the image in response to step a).
摘要:
The invention relates to a method and an according apparatus and system for segmentation of anatomical structures in medical images, wherein an anatomical structure represented in a medical image is segmented by applying an algorithm based on a morphological active contour without edges (MACWE) to the medical image, wherein in the algorithm based on the morphological active contour without edges one or more features relating to a surrounding and/or context of the anatomical structure represented in the medical image are considered.