Title :
Segmentation and registration of kidneys from contrast enhanced abdominal MR image
Author :
Akyar, Hasan ; Selver, M. Alper ; Demir, Giileser K.
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Dokuz Eyltil Univ., Izmir
Abstract :
Subtraction of contrast enhanced magnetic resonance images acquired before and after the injection of a contrast agent is a common method used in clinical applications for identifying the tumor region. Because of the long duration of the acquisition process, patient movement and respiratory motion are induced and registration is required to obtain accurate subtraction. In this paper, a method for more accurate subtraction of kidney images from MR is presented. Our starting point is the segmentation of kidneys from abdominal images to apply registration to only related region of interest. Segmentation of kidneys is automatically done with morphological operators based on the extraction of spine location. Then, Demonpsilas deformable method for registration is applied to segmented kidneys by using an open source toolkit, called matitk, provided by insight toolkit.
Keywords :
image registration; image segmentation; magnetic resonance imaging; Demon deformable method; contrast enhanced abdominal MR image; image registration; image segmentation; kidney images; magnetic resonance images; Abdomen; Image segmentation; Magnetic resonance; Neoplasms;
Conference_Titel :
Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
Conference_Location :
Aydin
Print_ISBN :
978-1-4244-1998-2
Electronic_ISBN :
978-1-4244-1999-9
DOI :
10.1109/SIU.2008.4632678