Basic principles of diffusion-weighted imaging.

By Roland Bammer. European Journal of Radiology, 2003

845 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geochemistry and Petrology, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/185e153094a63bdd3d8a6ae19926b1d700b494ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Jan Pukropski
2. Dow-Mu Koh
3. R. von Wrede
4. Klaus Lehnertz
5. T. Rings
6. B. Taouli
7. David J. Collins
8. T. Bröhl

In Geochemistry and Petrology

1. Jan Pukropski
2. Dow-Mu Koh
3. R. von Wrede
4. Klaus Lehnertz
5. T. Rings
6. B. Taouli
7. David J. Collins
8. T. Bröhl

In Ocean Engineering

1. Jan Pukropski
2. Dow-Mu Koh
3. R. von Wrede
4. Klaus Lehnertz
5. T. Rings
6. B. Taouli
7. David J. Collins
8. T. Bröhl

Citations in the corpus

• Diffusion-weighted MRI in the body: applications and challenges in oncology. (2007, background): “, steady-state free precession), EPI, and line scan diffusion imaging [16].”
• Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. (2009, methodology): “Diffusion-Weighted MRI Measurements Recognizing that there are several DW-MRI data acquisition techniques, the most commonly implemented basis sequence is the single and double spin-echo Stejskal-Tanner echo planar image (EPI) experiment [60].”
• The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives (2024, methodology): “In the previous subsection, we critically assessed the construction of a (snapshot) functional brain network from windowed data of observed brain dynamics (such as EEG, MEG, or fMRI) using bivariate time-series-analysis techniques and the characterization of this network using graph-theoretical conc”