Accurate Coregistration between Ultra‐High‐Resolution Micro‐SPECT and Circular Cone‐Beam Micro‐CT Scanners

Changguo Ji1,2, Frans van der Have3,1,4, Hugo Gratama van Andel3, Ruud M. Ramakers1, Freek J. Beekman3,1,4
1Image Sciences Institute and Rudolf Magnus Institute, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht
2Physics Department, Peking University, Beijing 100871
3Department of Radiation, Radionuclides, and Reactors, Section Radiation Detection and Medical imaging, Delft University of Technology, Mekelweg 15, 2629 JB Delft
4MILabs B.V., Heidelberglaan 100, 3584 CX Utrecht

Tóm tắt

Introduction. Spatially registering SPECT with CT makes it possible to anatomically localize SPECT tracers. In this study, an accurate method for the coregistration of ultra‐high‐resolution SPECT volumes and multiple cone‐beam CT volumes is developed and validated, which does not require markers during animal scanning. Methods. Transferable animal beds were developed with an accurate mounting interface. Simple calibration phantoms make it possible to obtain both the spatial transformation matrix for stitching multiple CT scans of different parts of the animal and to register SPECT and CT. The spatial transformation for image coregistration is calculated once using Horn′s matching algorithm. Animal images can then be coregistered without using markers. Results. For mouse‐sized objects, average coregistration errors between SPECT and CT in X, Y, and Z directions are within 0.04 mm, 0.10 mm, and 0.19 mm, respectively. For rat‐sized objects, these numbers are 0.22 mm, 0.14 mm, and 0.28 mm. Average 3D coregistration errors were within 0.24 mm and 0.42 mm for mouse and rat imaging, respectively. Conclusion. Extending the field‐of‐view of cone‐beam CT by stitching is improved by prior registration of the CT volumes. The accuracy of registration between SPECT and CT is typically better than the image resolution of current ultra‐high‐resolution SPECT.

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Tài liệu tham khảo

10.2967/jnumed.107.050195

10.1007/s00259‐006‐0364‐3

10.1007/s00259‐007‐0434‐1

10.1146/annurev.bioeng.8.061505.095728

Stout D. B., 2003, Multimodality isolated bed system for mouse imaging experiments, Molecular Imaging and Biology, 5, 128

10.1016/j.nucmedbio.2005.05.002

10.1016/S1361-8415(01)80026-8

10.1088/0031‐9155/53/4/R01

Zaidi H., 2003, Determination of the attenuation map in emission tomography, Journal of Nuclear Medicine, 44, 291

Fricke E., 2005, Attenuation correction of myocardial SPECT perfusion images with low-dose CT: evaluation of the method by comparison with perfusion PET, Journal of Nuclear Medicine, 46, 736

10.1088/0031‐9155/50/8/014

10.1109/TMI.2005.848617

10.1088/0031‐9155/51/2/013

10.2967/jnumed.108.056606

10.1109/TMI.2008.924644

10.1007/s00259‐006‐0248‐6

Vastenhouw B., 2007, Submillimeter total-body murine imaging with U-SPECT-I, Journal of Nuclear Medicine, 48, 487

10.1109/TNS.2006.882739

10.1088/0031‐9155/49/19/009

BranderhorstW. VastenhouwB. van der HaveF. BlezerE. L. A. andBeekmanF. J. Targeted scan volume selection for multi-pinhole SPECT in revision European Journal of Nuclear Medicine and Molecular Imaging. In press.

10.1088/0031‐9155/55/7/015

10.1364/JOSAA.5.001127

10.1364/JOSAA.4.000629

10.1007/s00259‐009‐1062‐8

10.1109/51.195938

LorussoA. EggertD. W. andFisherR. B. A comparison of four algorithms for estimating 3-D rigid transformations 1 Proceedings of the British Conference on Machine Vision 1995 Birmingham UK 237–246.