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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
IR Spectrometers01:25

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
NMR Spectrometers: Overview01:20

NMR Spectrometers: Overview

NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...

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Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
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SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows.

Jason C Crane1, Marram P Olson, Sarah J Nelson

  • 1Surbeck Laboratory for Advanced Imaging, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158-2330, USA.

International Journal of Biomedical Imaging
|August 24, 2013
PubMed
Summary
This summary is machine-generated.

Quantitative analysis of magnetic resonance spectroscopic imaging (MRSI) data offers metabolic insights for medical diagnosis. The SIVIC software enables a standardized workflow for MRSI data, from acquisition to PACS, improving clinical interpretation.

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Software Engineering

Background:

  • Quantitative analysis of magnetic resonance spectroscopic imaging (MRSI) data is crucial for medical diagnosis and therapeutic monitoring.
  • Current MRSI data workflows lack standardization, using vendor-specific formats and limited tools, hindering interpretation.
  • Anatomical images are routinely processed via DICOM and PACS, unlike MRSI data.

Purpose of the Study:

  • To introduce SIVIC, an open-source software framework for a complete scanner-to-PACS workflow for MRSI data.
  • To address the challenges of vendor-specific formats and lack of standardized tools in MRSI data evaluation.
  • To demonstrate the routine clinical application of SIVIC for MRSI data analysis and interpretation.

Main Methods:

  • Developed SIVIC, a flexible open-source software framework and application suite.
  • Implemented support for converting vendor-specific MRSI formats to the DICOM MR spectroscopy (MRS) standard.
  • Created modular and extensible pipelines for MRSI reconstruction, analysis, and visualization.

Main Results:

  • SIVIC enables a complete scanner-to-PACS workflow for MRSI data evaluation.
  • The software facilitates conversion to the DICOM MRS standard, overcoming format barriers.
  • Demonstrated routine use of SIVIC for clinical (1)H MRSI datasets at UCSF, supporting acquisition, analysis, and PACS delivery.

Conclusions:

  • SIVIC provides a standardized and flexible solution for MRSI data processing and interpretation.
  • The framework enhances the clinical utility of MRSI by enabling seamless integration into existing PACS workflows.
  • SIVIC facilitates improved medical diagnosis and therapeutic monitoring through accessible quantitative MRSI analysis.