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Method and device for automatic distinguishing kidney stone types by computer tomography contrast

A technique for tomography, kidney stones, used in computing, computerized tomography scanners, instruments for radiological diagnosis, etc.

Inactive Publication Date: 2007-10-03
SIEMENS AG
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Classification of kidney stones using traditional computed tomography methods is difficult because kidney stones do not appear as pure composite substances
Although for example pure calcium oxalate and crystallized uric acid clearly differ in the X-ray attenuation values, in practice the X-ray attenuation values ​​are very similar

Method used

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  • Method and device for automatic distinguishing kidney stone types by computer tomography contrast
  • Method and device for automatic distinguishing kidney stone types by computer tomography contrast

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Embodiment Construction

[0023] In the following example, a dual-energy CT scan of an object is performed with a dual-energy computed tomography apparatus, wherein raw data are acquired simultaneously at two different X-ray energies. The different x-ray energies are achieved by the different tube voltages of the x-ray tubes used—in this example 80 kV and 140 kV. From this raw data, the two CT images are reconstructed independently of one another by means of known reconstruction algorithms. Each of the two image data records obtained here contains, for each voxel of the examination volume, the corresponding HU value at the respective x-ray energy.

[0024] In this case, it should be ensured, independently of the data recording and the computed tomography system used, that the HU value of the volume material to be distinguished is somewhat stable when this volume material is present or located at different positions of the object under examination. of. But this is a given for most commercially availab...

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Abstract

The invention relates to a method and / or a device for automatically differentiating types of kidney stones by way of computed tomography. In at least one embodiment, the method provides two image data records of two computed tomography pictures of an object area including the kidney stones that have been recorded in the context of a different spectral distribution of the X-radiation. For each voxel of an interesting slice of the object area that has X-ray attenuation values typical of kidney stones there is calculated from the two image data records a ratio r that is yielded from X-ray attenuation values of the voxel and prescribed X-ray attenuation values of pure urine in the context of the different spectral distributions of the X-radiation. The respective voxel is assigned to one of at least two types of kidney stones as a function of the variable r. The present method enables the automatic differentiation of types of kidney stones by way of computed tomography.

Description

technical field [0001] The invention relates to a method and a device for automatic classification of kidney stone types by means of computed tomography, wherein two computed tomography recordings of an object site containing kidney stones are recorded with different X-ray spectral distributions, and from these two Two image data sets of the object part are reproduced in the raw data acquired by the computed tomography, which contain the X-ray attenuation values ​​of the voxels of the object part under the respective X-ray spectral distribution. Background technique [0002] Recognizing and differentiating the different types of kidney stones in humans or animals is very important for determining treatment measures. Different kidney stone types include, for example, uric acid stones, cystine stones, oxalate stones, or hydroxyapatite stones. In particular, it is very important to distinguish uric acid stones from other types of kidney stones, because the treatment measures f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B6/12A61B6/03G06T7/60
CPCA61B6/032A61B5/4869A61B6/4014A61B6/4035A61B6/482A61B2019/5289G06T7/0012G06T7/0022G06T7/0081G06T2207/10081G06T2207/10152G06T2207/20012G06T2207/30084A61B2090/364G06T7/11G06T7/97
Inventor 伯恩哈德·克劳斯
Owner SIEMENS AG
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