NDLI: A SPECT-CT image fusion technique for diagnosis of head-neck cancer

Content Provider	IEEE Xplore Digital Library
Author	Kang-Ping Lin Wei-Jen Yao
Copyright Year	1995
Description	Author affiliation: Dept. of Electr. Eng., Chung Yuan Univ., Chung Li, Taiwan (Kang-Ping Lin)
Abstract	A SPECT-CT image fusion technique is developed to provide a more precise anatomical location and an extension of the basal skull involvement of nasopharyngeal carcinoma (NPC) detected by Tc-99m MDP bone scan, and to achieve a better treatment planning. In this technique, both the SPECT images and the head-and-neck CT images were appropriately separated to two sections, the head (upper) part images and the neck (lower) part images. A multimodality image registration procedure was used to individually align the head/neck section of the SPECT images to the head/neck section of the CT images respectively. The procedure requires: generation of simulated SPECT images using the bone component in the CT images, and then alignment of the measured SPECT images to the simulated ones that are based on the CT images. In order to benefit from the advantages of CT and SPECT images, the two aligned images have been fused together. The fused images allows the user to precisely delineate the regions of interest (ROIs) shown to have involvement of NPC which is difficult to be indicated if one imaging modality is used. Moreover, the fused image is also useful for accurate therapeutic planning in radiation oncology and for consistent evaluation of the results between the pre- and post-treatments.
Starting Page	377
Ending Page	378
File Size	266573
Page Count	2
File Format	PDF
ISBN	0780324757
DOI	10.1109/IEMBS.1995.575158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image fusion Computed tomography Bones Head Neck X-ray imaging Cancer detection Distortion measurement Position measurement Volume measurement
Content Type	Text
Resource Type	Article

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