Literature DB >> 19039563

Behaviors of cost functions in image registration between 201Tl brain tumor single-photon emission computed tomography and magnetic resonance images.

Tsutomu Soma1, Akihiro Takaki, Satomi Teraoka, Yasushi Ishikawa, Kenya Murase, Kiyoshi Koizumi.   

Abstract

OBJECTIVE: We studied the behaviors of cost functions in the registration of thallium-201 (201Tl) brain tumor single-photon emission computed tomography (SPECT) and magnetic resonance (MR) images, as the similarity index of image positioning.
METHODS: A marker for image registration [technetium-99m (99mTc) point source] was attached at three sites on the heads of 13 patients with brain tumor, from whom 42 sets of 99mTc-201Tl SPECT (the dual-isotope acquisition) and MR images were obtained. The 201Tl SPECT and MR images were manually registered according to the markers. From the positions where the two images were registered, the position of the 201Tl SPECT was moved to examine the behaviors of the three cost functions, i.e., ratio image uniformity (RIU), mutual information (MI), and normalized MI (NMI).
RESULTS: The cost functions MI and NMI reached the maximum at positions adjacent to those where the SPECT and MR images were manually registered. As for the accuracy of image registration in terms of the cost functions MI and NMI, on average, the images were accurately registered within 3 degrees of rotation around the X-, Y-, and Z-axes, and within 1.5 mm (within 2 pixels), 3 mm (within 3 pixels), and 4 mm (within 1 slice) of translation to the X-, Y-, and Z-axes, respectively. In terms of rotation around the Z-axis, the cost function RIU reached the minimum at positions where the manual registration of the two images was substantially inadequate.
CONCLUSIONS: The MI and NMI were suitable cost functions in the registration of 201Tl SPECT and MR images. The behavior of the RIU, in contrast, was unstable, being unsuitable as an index of image registration.

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Year:  2008        PMID: 19039563     DOI: 10.1007/s12149-008-0195-3

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  3 in total

1.  A hybrid strategy to integrate surface-based and mutual-information-based methods for co-registering brain SPECT and MR images.

Authors:  Yuan-Lin Liao; Yung-Nien Sun; Wan-Yuo Guo; Yuan-Hwa Chou; Jen-Chuen Hsieh; Yu-Te Wu
Journal:  Med Biol Eng Comput       Date:  2010-12-30       Impact factor: 2.602

2.  Automated Verification of IGRT-based Patient Positioning.

Authors:  Xiaojun Jiang; Tim Fox; James S Cordova; Eduard Schreibmann
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

3.  Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis.

Authors:  Tomoyuki Kuwako; Sunao Mizumura; Ryusuke Murakami; Tamiko Yoshida; Masato Shiiba; Hidetaka Sato; Yoshimitsu Fukushima; Akira Teramoto; Shin-Ichiro Kumita
Journal:  Ann Nucl Med       Date:  2013-04-17       Impact factor: 2.668

  3 in total

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