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Method of constructing gray value and/or geometric models of anatomic entity in medical image

A geometric model and medical image technology, applied in image enhancement, image analysis, medical science, etc., can solve problems such as bad segmentation

Inactive Publication Date: 2011-05-11
AGFA NV
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Problems solved by technology

[0015] The second limitation is the alternating use of shape models and grayscale appearance models
This means that the wrong grayscale appearance model is used in the wrong area, resulting in bad segmentation

Method used

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  • Method of constructing gray value and/or geometric models of anatomic entity in medical image
  • Method of constructing gray value and/or geometric models of anatomic entity in medical image
  • Method of constructing gray value and/or geometric models of anatomic entity in medical image

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Embodiment Construction

[0096] The invention will be explained in detail with reference to a specific application, namely the segmentation of lung fields in medical images.

[0097] object representation

[0098] In the specific embodiment of the method of the present invention described below, the anatomical object in the image is mathematically represented as a fixed number of discrete label points located on the closed contour of the object, namely p 1 =(x 1 ,y 1 ),...,p n =(x n ,y n ).

[0099] contour from p 1 advance to p n and return to p 1 . Therefore, it can be obtained by discretizing the shape vector x=(x 1 ,y 1 ,...x n ,y n ) T Capture the object. The coordinate system is chosen such that all points within this image region fall within the domain [0,1]×[0,1] (Fig. 7).

[0100] The segmentation scheme described below requires many training images, where the shape vector x is manually determined. Once the algorithm is trained on the data set, the algorithm can generate th...

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Abstract

A gray value model is generated encoding photometric knowledge at landmark positions. This step exploits intensity correlation in neighborhoods sampled around landmark positions. A geometric model is generated encoding geometric knowledge between landmarks. This step exploits spatial correlation between landmarks of segmented anatomic entities.

Description

technical field [0001] The present invention relates to methods for constructing photometric (also called gray value models) and / or geometric models (also called shape models) of anatomical entities from a training set of digital medical images. [0002] These models can be applied in a model-based segmentation process to segment anatomical entities in newly acquired images. Anatomical measurements can be based on the segmented feature points. Background technique [0003] In radiology practice, geometric measurements are frequently used to aid in the diagnosis of abnormalities. In order to make these measurements, it is necessary to place key user points at their corresponding anatomical landmark locations in the image, eg displayed on a display device. Measurements such as the distance between two points or the angle between lines are based on the location of these key user points. Alternatively, normality or abnormality can be determined by evaluating the overall geome...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T17/00A61B6/00A61B10/00G06V10/46
CPCG06T2200/08G06T2207/20081G06T2207/20101G06T2207/30061G06T7/11G06T7/149G06T7/62G06T7/66G06V10/46
Inventor P·德沃勒
Owner AGFA NV
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