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Registration of abdominal CT and SPECT images using Compton scatter data

Sjögreen Gleisner, Katarina LU ; Ljungberg, Michael LU ; Erlandsson, Kjell; Floreby, Lars LU and Strand, Sven-Erik LU (1997) In Information Processing in Medical Imaging 1230. p.232-244
Abstract
The present study investigates the possibility to utilize Compton scatter data for registration of abdominal SPECT images. A method for registration to CT is presented, based on principal component analysis and cross-correlation of binary images representing the interior of the patient. Segmentation of scatter images is performed with two methods, thresholding and a deformable contour method. To achieve similarity of organ positions between scans, a positioning device is applied to the patient. Evaluation of the registration accuracy is performed with a) a 131I phantom study, b) a Monte Carlo simulation study of an anthropomorphic phantom, and c) a 123I patient trial. For a) r.m.s. distances between positions that should be equal in CT and... (More)
The present study investigates the possibility to utilize Compton scatter data for registration of abdominal SPECT images. A method for registration to CT is presented, based on principal component analysis and cross-correlation of binary images representing the interior of the patient. Segmentation of scatter images is performed with two methods, thresholding and a deformable contour method. To achieve similarity of organ positions between scans, a positioning device is applied to the patient. Evaluation of the registration accuracy is performed with a) a 131I phantom study, b) a Monte Carlo simulation study of an anthropomorphic phantom, and c) a 123I patient trial. For a) r.m.s. distances between positions that should be equal in CT and SPECT are obtained to 1.0±0.7 mm, which thus for a rigid object is at sub pixel level. From b) results show that r.m.s. distances depend on the slice activity distribution. With a symmetrical distribution deviations are in the order of 5 mm. In c) distances between markers on the patient boundary are at the maximum 16 mm and on an average 10 mm. It is concluded that by utilizing the available Compton scatter data, valuable positioning information is achieved, that can be used for registration of SPECT images. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Information Processing in Medical Imaging
editor
Duncan, J S; Gindi, G R; and
volume
1230
pages
232 - 244
publisher
Springer
external identifiers
  • scopus:84956867120
ISSN
1611-3349
0302-9743
ISBN
978-3-540-63046-3
DOI
10.1007/3-540-63046-5_18
language
English
LU publication?
yes
id
00b262e2-5483-491b-b3a5-fbfe19f3cd74 (old id 1112590)
date added to LUP
2008-07-17 09:11:54
date last changed
2017-03-19 03:32:34
@inbook{00b262e2-5483-491b-b3a5-fbfe19f3cd74,
  abstract     = {The present study investigates the possibility to utilize Compton scatter data for registration of abdominal SPECT images. A method for registration to CT is presented, based on principal component analysis and cross-correlation of binary images representing the interior of the patient. Segmentation of scatter images is performed with two methods, thresholding and a deformable contour method. To achieve similarity of organ positions between scans, a positioning device is applied to the patient. Evaluation of the registration accuracy is performed with a) a 131I phantom study, b) a Monte Carlo simulation study of an anthropomorphic phantom, and c) a 123I patient trial. For a) r.m.s. distances between positions that should be equal in CT and SPECT are obtained to 1.0±0.7 mm, which thus for a rigid object is at sub pixel level. From b) results show that r.m.s. distances depend on the slice activity distribution. With a symmetrical distribution deviations are in the order of 5 mm. In c) distances between markers on the patient boundary are at the maximum 16 mm and on an average 10 mm. It is concluded that by utilizing the available Compton scatter data, valuable positioning information is achieved, that can be used for registration of SPECT images.},
  author       = {Sjögreen Gleisner, Katarina and Ljungberg, Michael and Erlandsson, Kjell and Floreby, Lars and Strand, Sven-Erik},
  editor       = {Duncan, J S and Gindi, G R},
  isbn         = {978-3-540-63046-3},
  issn         = {1611-3349},
  language     = {eng},
  pages        = {232--244},
  publisher    = {Springer},
  series       = {Information Processing in Medical Imaging},
  title        = {Registration of abdominal CT and SPECT images using Compton scatter data},
  url          = {http://dx.doi.org/10.1007/3-540-63046-5_18},
  volume       = {1230},
  year         = {1997},
}