3D segmentation of great vessels using active contours and morphological image processing techniques

3D segmentation of great vessels using active contours and morphological image processing techniques

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The scope of this project is to present a semi-automated vessels segmentation algorithm, to describe its usage and results. This will be achieved combining several segmentation algorithms to get proper vessel segmentation and visualization. Consequently, automatic segmentation can significantly red...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Montejo Garcia, Cristina
Άλλοι συγγραφείς: Santos, Andres
Μορφή: Thesis
Γλώσσα:English
Έκδοση: 2010
Θέματα:
Segmentation
Vessels
616.075 4
Διαθέσιμο Online:http://nemertes.lis.upatras.gr/jspui/handle/10889/3073
id nemertes-10889-3073
record_format dspace
spelling nemertes-10889-30732022-09-05T20:14:36Z 3D segmentation of great vessels using active contours and morphological image processing techniques Montejo Garcia, Cristina Santos, Andres Nikolaos, Pallikarakis Segmentation Vessels 616.075 4 The scope of this project is to present a semi-automated vessels segmentation algorithm, to describe its usage and results. This will be achieved combining several segmentation algorithms to get proper vessel segmentation and visualization. Consequently, automatic segmentation can significantly reduce the scan-to-diagnosis time, thus helping the clinicians to reach the fundamental goal of efficient patient management. In order to complete our project, we can identify different phases: - Correct reading of CT and MR images and extraction of data needed for the post-processing. - Processing of these images using the most appropriate segmentation techniques to get the desired contour. - Visualization of the contour. - 2010-05-25T06:15:31Z 2010-05-25T06:15:31Z 2010-01-20 2010-05-25T06:15:31Z Thesis http://nemertes.lis.upatras.gr/jspui/handle/10889/3073 en Η ΒΚΠ διαθέτει αντίτυπο της διατριβής σε έντυπη μορφή στο βιβλιοστάσιο διδακτορικών διατριβών που βρίσκεται στο ισόγειο του κτιρίου της. 0 application/pdf
institution UPatras
collection Nemertes
language English
topic Segmentation
Vessels
616.075 4
spellingShingle Segmentation
Vessels
616.075 4
Montejo Garcia, Cristina
3D segmentation of great vessels using active contours and morphological image processing techniques
description The scope of this project is to present a semi-automated vessels segmentation algorithm, to describe its usage and results. This will be achieved combining several segmentation algorithms to get proper vessel segmentation and visualization. Consequently, automatic segmentation can significantly reduce the scan-to-diagnosis time, thus helping the clinicians to reach the fundamental goal of efficient patient management. In order to complete our project, we can identify different phases: - Correct reading of CT and MR images and extraction of data needed for the post-processing. - Processing of these images using the most appropriate segmentation techniques to get the desired contour. - Visualization of the contour.
author2 Santos, Andres
author_facet Santos, Andres
Montejo Garcia, Cristina
format Thesis
author Montejo Garcia, Cristina
author_sort Montejo Garcia, Cristina
title 3D segmentation of great vessels using active contours and morphological image processing techniques
title_short 3D segmentation of great vessels using active contours and morphological image processing techniques
title_full 3D segmentation of great vessels using active contours and morphological image processing techniques
title_fullStr 3D segmentation of great vessels using active contours and morphological image processing techniques
title_full_unstemmed 3D segmentation of great vessels using active contours and morphological image processing techniques
title_sort 3d segmentation of great vessels using active contours and morphological image processing techniques
publishDate 2010
url http://nemertes.lis.upatras.gr/jspui/handle/10889/3073
work_keys_str_mv AT montejogarciacristina 3dsegmentationofgreatvesselsusingactivecontoursandmorphologicalimageprocessingtechniques
_version_ 1771297327530639361

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