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.
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D.A. Weber, M. Ivanovic: Correlative Image Registration. Seminars in Nucl Med XXIV, 311–323(1994)
G Flux: Multimodality image registration and its application to the dosimetry of intralesional radionuclide therapy. Doctoral Thesis (1995)
C.A. Pelizzari et al: Accurate Three-Dimensional Registration of CT, PET, and/or MR Images of the Brain. J Comput Assist Tomogr 13, 20–26 (1989)
N.M. Alpert et al: The Principal Axes Tranformation — A Method for Image Registration. J Nucl Med 31, 1717–1722 (1990)
P.A. van den Elsen et al: Medical Image Matching — A Review with Classification. IEEE Eng Med Biol 12, 26–39 (1993)
E.L. Kramer et al: CT-SPECT Fusion to Correlate Radiolabeled Monoclonal Antibody Uptake with Abdominal CT Findings. Radiology 172, 861–865 (1989)
Y.E. Erdi et al: A new fiducial alignment system to overlay abdominal computed tomography or magnetic resonance anatomical images with radiolabeled antibody Single-Photon Emission Computed Tomographic scans. Cancer 73, 923–931 (1994)
K.F. Koral et al: CT-SPECT fusion plus conjugate views for determining dosimetry in iodine-131-monoclonal antibody therapy of lymphoma patients. J Nucl Med 35, 1714–1720 (1994)
A.M. Scott et al: Image registration of SPECT and CT images using an external fiduciary band and three-dimensional surface fitting in metastatic thyroid cancer. J Nucl Med 36, 100–103 (1995)
E.L. Kramer, M.E. Noz: CT-SPECT Fusion for Analysis of Radiolabeled Antibodies: Applications in Gastrointestinal and Lung Carcinoma. Nucl Med Biol 18, 27–42 (1991)
S. Eberl et al: Automated interstudy image registration technique for SPECT and PET. J Nucl Med 37, 137–145 (1996)
T. Pan et al: Segmentation of the Body and Lungs from Compton Scatter and Photopeak Window Data in SPECT: A Monte Carlo Investigation. IEEE Trans Biomed Eng 3, 1657–1661 (1993)
M. Ljungberg, S-E. Strand: A Monte Carlo Program Simulating Gamma Camera Imaging. Computer Methods and Programs in Biomedicine 29, 257–272 (1989)
D.A. Weber et al: MIRD: Radionuclide Data and Decay Schemes. The Society of Nuclear Medicine Inc (1989)
R.C. Gonzalez, R.E. Woods: Digital Image Processing. Addison-Wesley Publishing Company Inc (1992)
T.S. Pan et al: Design of an efficient 3D projector and backprojector for SPECT. Proceedings of the International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine 181–185 (1995)
M. Kass et al: Snakes: Active Contour Models. International Journal of Computer Vision 321–331 (1988)
A.A. Amini et al: Using Dynamic Programming for Solving Variational Problems in Vision. IEEE Transactions on pattern analysis and machine intelligence 12, 855–867 (1990)
G. Zubal et al: Computerized three-dimensional segmented human anatomy. Med Phys 21, 299–302 (1994)
U. Schneider et al: The calibration of CT Hounsfield units for radiotherapy treatment planning. Phys Med Biol 41, 111–124 (1995)
P.F. Hemler et al: Registration error quantification of a surface based multimodality image fusion system. J Nucl Med 22, 1049–1056 (1995)
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© 1997 Springer-Verlag Berlin Heidelberg
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Sjögreen, K., Ljungberg, M., Erlandsson, K., Floreby, L., Strand, SE. (1997). Registration of abdominal CT and SPECT images using Compton scatter data. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_18
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DOI: https://doi.org/10.1007/3-540-63046-5_18
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