Dicom Imaging
Dicom Imaging - Related Videos
09:43
In vivo Near Infrared Fluorescence (NIRF) Intravascular Molecular Imaging of Inflammatory Plaque, a Multimodal Approach to Imaging of Atherosclerosis
0 Views •
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...
09:18
Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models
0 Views •
2026
This protocol uses a multichamber bed for parallel magnetic resonance imaging (MRI) of up to four animals to detect pancreatic adenocarcinoma tumors in genetically engineered mouse models. This multianimal MRI protocol is fast and cost-effective for detecting and measuring tumors, facilitating animal selection for preclinical studies and longitudinal monitoring of tumor growth.
16:31
Echo Particle Image Velocimetry
0 Views •
Cited by 10 •
2012
An echo particle image velocimetry (EPIV) system capable of acquiring two-dimensional fields of velocity in optically opaque fluids or through optically opaque geometries is described, and validation measurements in pipe flow are reported.
07:57
Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals
0 Views •
2017
A methodology is described herein for representing anatomical imaging data within crystals. We create scaled three-dimensional models of biomedical imaging data for use in Sub-Surface Laser Engraving (SSLE) of crystal glass. This tool offers a useful complement to computational display or three-dimensionally printed models used within clinical or educational settings.
13:45
Hybrid µCT-FMT imaging and image analysis
0 Views •
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
DICOM imaging links pixel data with structured information about the patient, study, modality, and image acquisition. This context helps users interpret an image within the correct clinical and technical setting rather than viewing pixels in isolation. It also supports consistent organization when images move between scanners, workstations, and picture archiving and communication systems.
DICOM network services support several distinct interactions: storing images, retrieving previously stored studies, querying available information, and transferring data between connected systems. Separating these functions allows scanners, workstations, and picture archiving and communication systems to exchange imaging information according to the task. This supports more coordinated access across clinical environments.
Modality and acquisition details identify how an image was produced and provide technical context for interpreting it. The same broad anatomical region may be represented by radiography, computed tomography, magnetic resonance imaging, or ultrasound, each contributing different imaging information. Recording these details helps organize studies and supports consistent interpretation across modalities.
A pixel-only file represents image content without necessarily preserving the structured patient, study, modality, and acquisition information associated with the examination. DICOM imaging keeps these elements together, making the image more useful within clinical systems. The added context supports organization, exchange, interpretation, and integration with clinical records rather than treating each image as an isolated file.
A typical workflow begins when an imaging modality produces a study and associated information. The study can then be stored, queried, retrieved, or transferred through DICOM network services to a picture archiving and communication system or workstation. Clinicians can subsequently access the organized examination for interpretation, treatment planning, or communication with other clinical systems.
DICOM imaging is useful when medical images must move among different acquisition devices, workstations, and clinical archives. Its support for radiography, computed tomography, magnetic resonance imaging, ultrasound, and other modalities makes it relevant across varied examinations. The standard helps clinical teams access consistently organized imaging information for diagnosis and treatment planning.
For research, DICOM imaging provides image data together with structured examination context, including patient, study, modality, and acquisition information. This organization can help investigators integrate imaging datasets with clinical records and examine images quantitatively. The resulting data can support research workflows that depend on consistent interpretation, comparison, and analysis across medical imaging studies.