Abstract
A spatial geometric plane is defined by the three-dimensional coordinates of a pair of spatial points and the direction that the normal vector establishes, which is formed by joining those points by means of an oriented line segment. This type of planes, in three-dimensional images, is extremely useful as an alternative solution to the problem of low contrast that exhibit the anatomical structures present in cardiac computed tomography images. To do this, after using a predetermined filter bank and in order to define a region of interest, a smart operator based on least squares support vector machines is trained and validated in order to detect the aforementioned coordinates which enables the location of the plane, in the three-dimensional space that contains the considered images. Once the structure that is required to segment is identified, a discriminant function is used that cancels all information not linked to this structure. In this work, the segmentation of the left ventricle, based on region growing technique, is firstly considered and then the left atrium is segmented considering region growing technique and an inverse discriminant function. The results show an excellent correspondence relationship when the spatial union of both structures is made.
Highlights
In multi-layer computed tomography (MSCT) images, the presence of low contrast is a problem
After using a predetermined filter bank and in order to define a region of interest, a smart operator based on least squares support vector machines is trained and validated in order to detect the aforementioned coordinates which enables the location of the plane, in the three-dimensional space that contains the considered images
The three-dimensional morphology of segmented left ventricle (LV) and left atrium (LA) are shown in Figure 4; whereas the Figure 5 shows the merging representation the both LV and LA
Summary
In multi-layer computed tomography (MSCT) images, the presence of low contrast is a problem. The low contrast problem exhibited by computed tomography images cannot be addressed by filtering techniques. In this sense, a geometric element called spatial plane can be useful when it is necessary to define regions of interest (ROI) in the context of medical images [1]. A geometric element called spatial plane can be useful when it is necessary to define regions of interest (ROI) in the context of medical images [1] It is required: a) To identify, in the three-dimensional images, reference points that define the plane. It is required: a) To identify, in the three-dimensional images, reference points that define the plane. b) A smart operator, for example, least square support vector machine (LSSVM) is used to identify the mentioned points. c) LSSVM can be used in the original domain or in a feature domain
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
