Registration and fusion of multimodal vascular images: a phantom study

Nicolas Boussion; Jacques A. de Guise; Gilles Soulez; Michel Daronat; Guy Cloutier

doi:10.1117/12.480838

15 May 2003 Registration and fusion of multimodal vascular images: a phantom study

Nicolas Boussion, Jacques A. de Guise, Gilles Soulez, Michel Daronat, Guy Cloutier

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.480838
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

The aim of this work was to compare the geometric accuracy of X-ray angiography, MRI, X-ray computed tomography (XCT), and ultrasound imaging (B-mode and IVUS) for measuring the lumen diameters of blood vessels. An image fusion method also was developed to improve these measurements. The images were acquired from a realistic phantom mimicking normal vessels of known internal diameters. After acquisition, the multimodal images were coregistered, by manual alignment of fiducial markers and then by automatic maximization of mutual information. The fusion method was performed by means of a fuzzy logic modeling approach followed by a combination process based on possibilistic logic. The data showed (i) the good geometric accuracy of XCT compared to the other methods for all studied diameters; and (ii) the good results of fused images compared to single modalities alone. For XCT, the error varied from 1.1% to 9.7%, depending on the vessel diameter that ranged from 0.93 to 6.24 mm. MRI-IVUS fusion allowed variability of measurements to be reduced up to 78%. To conclude, this work underlined both the usefulness of the vascular phantom as a validation tool and the utility of image fusion in the vascular context. Future work will consist of studying pathological vessel shapes, image artifacts and partial volume effect correction.

Citation Download Citation

Nicolas Boussion, Jacques A. de Guise, Gilles Soulez, Michel Daronat, and Guy Cloutier "Registration and fusion of multimodal vascular images: a phantom study", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480838

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KEYWORDS

Image fusion

Image segmentation

Fuzzy logic

Magnetic resonance imaging

Intravascular ultrasound

Angiography

Image processing

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