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Comparison of two landmark based image registration methods for use with a body atlas
Karolinska Hospital, Department of Radiology.
New York University, Department of Radiology.
New York University, Department of Radiology.
KTH, Superseded Departments, Microelectronics and Information Technology, IMIT.ORCID iD: 0000-0002-6066-746X
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2000 (English)In: Physica medica (Testo stampato), ISSN 1120-1797, E-ISSN 1724-191X, Vol. 16, no 2, 75-82 p.Article in journal (Refereed) Published
Abstract [en]

We describe preliminary work registering abdominal MRI images from three healthy male volunteers. Anatomically selected 3D homologous point pairs (landmarks), from which eigenvalues were generated to form the basis for a 3D non-affine polynomial transformation, were placed on axial slices alone and on axial, coronal and sagittal slices. Registration accuracy was judged visually by comparing superimposed 3D isosurfaces from the reference, untransformed, and transformed volume data and by comparing merged 2D slices projected fi om the transformed and reference volume data superimposed with 2D isolines. The squared sum of intensity differences between the transformed/untransformed and the reference volume was significant at the 0.05 (p >0.05) confidence level. The correlation coefficient improved by an average of 38% and the cross correlation between pixel values improved by an average of 22%. In each trial, the standard deviation of the landmarks after transformation was within one voxel and the standard error of the mean was not significantly different from zero at the 0.05 confidence level. Abdominal isosurface volume differences (between individuals) changed from an average of 14.5% before registration to 2.9% after registration. This experiment shows that it is possible to choose landmarks such that abdominal data from different subject volumes can be mapped to a common reference, and thus that it is possible to use this combined volume both to form an atlas and to warp abdominal data from an atlas to a patient volume.

Place, publisher, year, edition, pages
2000. Vol. 16, no 2, 75-82 p.
Keyword [en]
image fusion, deformable body atlas, interpatient registration, emission tomography, brain atlas, mr-images, algorithm, pet, ct
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-20385ISI: 000167103600004OAI: oai:DiVA.org:kth-20385DiVA: diva2:339080
Note
QC 20100525 NR 20140804Available from: 2010-08-10 Created: 2010-08-10 Last updated: 2017-12-12Bibliographically approved

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Maguire Jr., Gerald Q.

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Microelectronics and Information Technology, IMIT
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