東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Correction of geometric distortion i...

Kuppampatti, Gautham.

Linked to FindBook

Google Book

Amazon

博客來

Correction of geometric distortion in MRI.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Correction of geometric distortion in MRI./
Author:	Kuppampatti, Gautham.
Description:	96 p.
Notes:	Adviser: Edwart Mark Haacke.
Contained By:	Masters Abstracts International45-01.
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1437726
ISBN:	9780542860379

Correction of geometric distortion in MRI.
Kuppampatti, Gautham.

Correction of geometric distortion in MRI. - 96 p.

Adviser: Edwart Mark Haacke.

Thesis (M.S.)--Wayne State University, 2006.

This Thesis presents an algorithm for correcting MR field inhomogeneities that result from the presence of tissues having different magnetic susceptibilities. To correct for distortions due to inhomogeneities, this thesis provides an algorithm that works in the following manner. Based on a phase field map, the magnetic field distortion DeltaB is determined. Phase unwrapping is used on the phase images. The phase images are then smoothed in order to remove noise and it is found that a gaussian filter using pixel connectivity gives the best performance. Alternatively, it is also possible to generate a smoothed version of the field map by fitting to it a third or fourth order 3-D polynomial surface. The main advantage of fitting over filtering is that the magnetic field can be estimated in regions where accurate measurements are not possible. Finally, using the estimated magnetic field distortion map, a map of one dimensional pixel shifts along the frequency encoding direction can be estimated and interpolation is used to correct for the distortion. Several interpolation paradigms are compared in their performance and it is found that the Windowed Sinc Interpolation and direct geometric interpolation gave the best results. Simulations with phantom data show that through the use of this algorithm it is possible to correct for the magnetic field distortions. We have showed that this method leads to improvement in the visibility of in vivo human brain images. Results presented here demonstrate that magnetic field distortion correction can be useful within the context of accurate MRI-based neurosurgery planning. We have also made an effort to quantify the remnant errors in the method and found them to be dependent on the geometry under consideration. In phantom studies, the error in position was corrected to 4%. We found this to be true in human images in regions of slow field changes with errors up to 30% in pixel location for rapid phase changes.

ISBN: 9780542860379Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Correction of geometric distortion in MRI.
LDR:02801nam 2200277 a 45 001 970869
005 20110921
008 110921s2006 eng d
020 $a 9780542860379
035 $a (UMI)AAI1437726
035 $a AAI1437726
040 $a UMI $c UMI
100 1 $a Kuppampatti, Gautham. $3 1294908
245 1 0 $a Correction of geometric distortion in MRI.
300 $a 96 p.
500 $a Adviser: Edwart Mark Haacke.
500 $a Source: Masters Abstracts International, Volume: 45-01, page: 0374.
502 $a Thesis (M.S.)--Wayne State University, 2006.
520 $a This Thesis presents an algorithm for correcting MR field inhomogeneities that result from the presence of tissues having different magnetic susceptibilities. To correct for distortions due to inhomogeneities, this thesis provides an algorithm that works in the following manner. Based on a phase field map, the magnetic field distortion DeltaB is determined. Phase unwrapping is used on the phase images. The phase images are then smoothed in order to remove noise and it is found that a gaussian filter using pixel connectivity gives the best performance. Alternatively, it is also possible to generate a smoothed version of the field map by fitting to it a third or fourth order 3-D polynomial surface. The main advantage of fitting over filtering is that the magnetic field can be estimated in regions where accurate measurements are not possible. Finally, using the estimated magnetic field distortion map, a map of one dimensional pixel shifts along the frequency encoding direction can be estimated and interpolation is used to correct for the distortion. Several interpolation paradigms are compared in their performance and it is found that the Windowed Sinc Interpolation and direct geometric interpolation gave the best results. Simulations with phantom data show that through the use of this algorithm it is possible to correct for the magnetic field distortions. We have showed that this method leads to improvement in the visibility of in vivo human brain images. Results presented here demonstrate that magnetic field distortion correction can be useful within the context of accurate MRI-based neurosurgery planning. We have also made an effort to quantify the remnant errors in the method and found them to be dependent on the geometry under consideration. In phantom studies, the error in position was corrected to 4%. We found this to be true in human images in regions of slow field changes with errors up to 30% in pixel location for rapid phase changes.
590 $a School code: 0254.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Health Sciences, Radiology. $3 1019076
690 $a 0541
690 $a 0574
710 2 0 $a Wayne State University. $3 975058
773 0 $t Masters Abstracts International $g 45-01.
790 $a 0254
790 1 0 $a Haacke, Edwart Mark, $e advisor
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1437726