Ct Mri Processing
Ct Mri Processing - Related Videos
01:14
Imaging Studies I: CT and MRI
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2025
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties. Description of the Procedures Computed Tomography (CT) scan: Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
10:25
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Cited by 30 •
2019
Provided here is a practical tutorial for an open-access, standardized image processing pipeline for the purpose of lesion-symptom mapping. A step-by-step walkthrough is provided for each processing step, from manual infarct segmentation on CT/MRI to subsequent registration to standard space, along with practical recommendations and illustrations with exemplary cases.
09:08
Combined SPECT and CT Imaging to Visualize Cardiac Functionality
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2023
Source: Alycia G. Berman, James A. Schaber, and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana Here we will demonstrate the fundamentals of single-photon emission computed tomography/computed tomography (SPECT/CT) imaging using mice. The technique involves injecting a radionuclide into a mouse, imaging the animal after it is distributed throughout the body, and then reconstructing the produced images to create a volumetric dataset. This can...
14:08
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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Cited by 31 •
2013
An automated midline shift estimation and intracranial pressure (ICP) pre-screening system based on computed tomography (CT) images for patients with traumatic brain injury (TBI) is proposed using image processing and machine learning techniques.
06:06
Optogenetic Functional MRI
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Cited by 15 •
2016
This protocol describes the steps and data analysis required to successfully perform optogenetic functional magnetic resonance imaging (ofMRI). ofMRI is a novel technique that combines high-field fMRI readout with optogenetic stimulation, allowing for cell type-specific mapping of functional neural circuits and their dynamics across the whole living brain.
FAQs
Artifact correction is important because scan imperfections can distort anatomical boundaries or tissue-related measurements. Processing identifies and reduces these artifacts before later analyses, helping ensure that differences reflect the underlying images rather than image-quality problems. In behavioral studies, this improves confidence when brain measures are compared with cognitive performance or other observed behaviors.
Spatial registration aligns images within a participant or across participants and time points, while segmentation separates relevant anatomical or tissue regions. Together, these operations create a consistent basis for measuring structure, connectivity, activity, or tissue properties. Their value is greatest when researchers need to compare brain-related measures across people, sessions, or developmental stages.
CT and MRI require different computational handling because their input signals arise differently: CT reconstructs images from X-ray measurements, whereas MRI organizes signals produced by magnetic fields and radiofrequency pulses. The resulting processing can support maps of anatomy and tissue properties, but the appropriate workflow depends on which modality generated the data and what measure the study seeks.
A typical workflow begins with raw scan preparation, followed by artifact correction and spatial registration. Researchers may then segment anatomical or tissue regions and calculate quantitative measures. The final outputs can be organized as interpretable maps or numerical variables for subsequent comparison. Keeping these stages consistent helps make results comparable across participants and repeated time points.
In behavioral research, processed images provide brain measures that can be related to cognitive performance and observed behavior. Depending on the study, investigators may examine structure, connectivity, activity, or tissue properties rather than relying only on visual inspection. This computational link allows imaging findings to be evaluated alongside behavioral data in studies of brain-based mechanisms.
These methods are especially useful when a study compares participants or follows changes over time. Consistent processing supports analyses of development, neurological conditions, and behavioral variation by reducing differences caused by image preparation. It also helps researchers interpret whether a measured relationship between brain features and behavior remains comparable across individuals, sessions, or study groups.