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A versatile functio...
A versatile functional-anatomic image fusion method for volume data sets
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- Noz, Marilyn E. (author)
- New York University
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- Maguire Jr., Gerald Q. (author)
- KTH,Teleinformatik,Computer Communications
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Zeleznik, Michael P. (author)
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- Kramer, Elissa L. (author)
- New York University
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Mahmoud, F. (author)
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- Crafoord, Joakim (author)
- Department of Radiology, Karolinska Hospital
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(creator_code:org_t)
- 2001
- 2001
- English.
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In: Journal of medical systems. - 0148-5598 .- 1573-689X. ; 25:5, s. 297-307
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
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- We describe and validate a volumetric three-dimensional registration method, and compare it to our previously validated two-dimensional/three-dimensional method. {CT/MRI} and {SPECT} data from 14 patients were interactively fused using a polynomial warping technique. Registration accuracy was confirmed visually and by a nonsignificant F value from multivariate analysis of the transformed landmarks, a significant difference of the squared sum of intensity differences between the transformed/untransformed and the reference volume both at the 0.05 (p {\textgreater} 0.05) confidence level and an average 31\% improvement of the correlation coefficient and cross correlation. For the two-dimensional/three-dimensional method, {ROI} center-to-center distance ranged from 1.42 to 11.32 mm (for liver) with an average of 6.13 mm +/- 3.09 mm. The average {ROI} overlap was 92.51\% with a 95\% confidence interval of 90.20-96.88\%. The new method is superior because it operates on the true three-dimensional volume. Both methods give good registration results, take 10 to 30 min, and require anatomic knowledge.
Keyword
- Humans
- Imaging
- {Three-Dimensional}
- Magnetic Resonance Imaging
- Neoplasms
- Radiography
- Abdominal
- Radiography
- Thoracic
- Tomography
- {Emission-Computed}
- {Single-Photon}
- Tomography
- {X-Ray} Computed
- SRA - ICT
- SRA - Informations- och kommunikationsteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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