Coregistered Imaging
Coregistered Imaging - Related Videos
10:21
A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions
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Cited by 2 •
2023
We report a coregistered ultrasound and photoacoustic imaging protocol for the transvaginal imaging of ovarian/adnexal lesions. The protocol may be valuable to other translational photoacoustic imaging studies, especially those using commercial ultrasound arrays for the detection of photoacoustic signals and standard delay-and-sum beamforming algorithms for imaging.
13:05
Functional Magnetic Resonance Imaging (fMRI) with Auditory Stimulation in Songbirds
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Cited by 12 •
2013
This article shows an optimized procedure for imaging of the neural substrates of auditory stimulation in the songbird brain using functional Magnetic Resonance Imaging (fMRI). It describes the preparation of the sound stimuli, the positioning of the subject and the acquisition and subsequent analysis of the fMRI data.
10:53
Functional Imaging of Brown Fat in Mice with 18F-FDG micro-PET/CT
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Cited by 37 •
2012
A method of functional imaging of mouse brown adipose tissue (BAT) is described in which cold-stimulated uptake of 18F-Fluorodeoxyglucose (FDG) in BAT is non-invasively assessed with a standardized micro-PET/CT protocol. This method is robust and sensitive to detect differences in BAT activities in mouse models.
09:43
In vivo Near Infrared Fluorescence (NIRF) Intravascular Molecular Imaging of Inflammatory Plaque, a Multimodal Approach to Imaging of Atherosclerosis
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Cited by 32 •
2011
We detail a new near-infrared fluorescence (NIRF) catheter for 2-dimensional intravascular molecular imaging of plaque biology in vivo. The NIRF catheter can visualize key biological processes such as inflammation by reporting on the presence of plaque-avid activatable and targeted NIR fluorochromes. The catheter utilizes clinical engineering and power requirements and is targeted for application in human coronary arteries. The following research study describes a multimodal imaging strategy...
13:45
Hybrid µCT-FMT imaging and image analysis
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Cited by 34 •
2015
We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution.
FAQs
Landmarks provide corresponding reference points that link structures across images acquired from different modalities, times, or viewpoints. Image features can supplement these references when recognizable patterns or boundaries offer additional alignment information. Together, they help determine how one image should be positioned relative to another, supporting more reliable comparison of corresponding structures and improving downstream measurement or visualization.
Translation and rotation correct differences in position and orientation, while scaling addresses differences in image size. When structures change shape, nonlinear deformation can provide a more flexible correction than these simpler transformations. Selecting a transformation that matches the type of spatial difference is important because alignment quality directly affects visualization, quantitative analysis, and measurements made from the combined images.
Different imaging sources can contribute complementary information about the same structures. Optical, magnetic resonance, computed tomography, and ultrasound images may therefore be compared within one shared spatial framework rather than examined independently. This combination can strengthen visualization and analysis by allowing engineers or biomedical researchers to relate information from multiple sources at corresponding locations.
A workflow begins by identifying anatomical or geometric landmarks and useful image features in the datasets to be compared. The images are then related through mathematical transformations, such as translation, rotation, scaling, or nonlinear deformation, to compensate for spatial differences. The resulting alignment supports direct comparison and can be used for visualization, measurement, or quantitative analysis.
Engineering applications include multimodal inspection, biomedical device development, robotics, and computational modeling. In each setting, aligning images from different sources, times, or viewpoints can connect complementary spatial information for examining structures or engineered systems. The resulting correspondence supports tasks such as visualization, measurement, image-guided intervention, and quantitative analysis when spatial accuracy is important.
Accurate registration places relevant image information in consistent spatial correspondence, making structures easier to compare and measure. In biomedical device development, this can support computational modeling and evaluation of device-related anatomy or geometry. During image-guided intervention, aligned images can improve visualization of corresponding structures, helping integrate information from available imaging sources into the procedure or analysis.