研究目的
To present a method for image fusion of cone-beam computed tomography (CBCT)/computed tomography (CT) and magnetic resonance imaging (MRI) and to explore whether the image data sets fused in such a way could aid the detection of temporomandibular joint (TMJ) anatomical structures and lesions.
研究成果
The CT/CBCT and MR images could be fused to aid detection of TMJ anatomical structures and related lesions. The fused images could define the tumor outline and the destructive bone clearly in the same image. The fused results helped the observers to ensure uncertain defects which could not be confirmed only by one image data set.
研究不足
The process of registration and fusion of multi-modality images would cause the qualitative loss of the raw images. Hence, the technical disadvantage may lead to the limitation of finding tiny defects when compared to observation of one image data sets.
1:Experimental Design and Method Selection:
The study included five cases with different TMJ conditions. The DICOM format data of CT/CBCT and MRI were imported to the Amira visual software for registration and fusion. The registration process was separated into automatic registration of CT/CBCT with quadrature slice MR images and semi-automatic registration of CT/CBCT with oblique slice MR images by altering the registration parameters. Rigid transform model and the similarity metric of normalization mutual information (NMI) was used for registration.
2:Sample Selection and Data Sources:
Five patients with TMJ conditions were selected. All patients were captured with MRI and CT/CBCT scans, and the image data were exported as DICOM format.
3:List of Experimental Equipment and Materials:
GE Medical system BrightSpeed CT scanner, GE Medical system Optima CT520 Series CT scanner, 3DX, 3D Accuitomo 170 CBCT, SIEMENS Novus, SIEMENS Sonata, SIEMENS Trio Tim MRI, GE Medical system Signa HDxt, GE Medical system OPTIMA MR360 MRI, Amira visual software (version 5.4.3, Visage Imaging, Melbourne, Australia).
4:3, Visage Imaging, Melbourne, Australia). Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The DICOM format data of CT/CBCT and MRI were imported to the Amira visual software. The registration process was conducted in the sub-application of the multi-planar viewer module. For automatic registration, two image sets were first aligned in center. For semi-automatic registration, the operators adjusted two image sets to aligned position roughly by using the manual registration tool.
5:Data Analysis Methods:
The relationship between the soft mass and hard tissue was shown clearly in the fused images when compared to sole observation of CBCT/CT or MR images.
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SIEMENS Novus
Novus
SIEMENS
MRI scanning for TMJ conditions
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SIEMENS Sonata
Sonata
SIEMENS
MRI scanning for TMJ conditions
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SIEMENS Trio Tim
Trio Tim
SIEMENS
MRI scanning for TMJ conditions
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BrightSpeed CT scanner
BrightSpeed
GE Medical system
CT scanning for TMJ conditions
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Optima CT520 Series CT scanner
Optima CT520
GE Medical system
CT scanning for TMJ conditions
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3D Accuitomo 170
3D Accuitomo 170
J. Morita MFG. Corp.
CBCT scanning for TMJ conditions
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Signa HDxt
Signa HDxt
GE Medical system
MRI scanning for TMJ conditions
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OPTIMA MR360
OPTIMA MR360
GE Medical system
MRI scanning for TMJ conditions
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Amira visual software
5.4.3
Visage Imaging
Image registration and fusion
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