Controlled aliasing in volumetric parallel imaging (2D CAIPIRINHA)

By Felix Breuer, M. Blaimer, Matthias F. Mueller, Nicole Seiberlich, R. Heidemann, Mark A. Griswold, P. Jakob. Magnetic Resonance in Medicine, 2006

432 citations recorded by the source corpus.

Subfields: Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/01f2ae79d345ccb158d17ab003ce6f388b39fe2e

How researchers see this paper

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

In Nuclear and High Energy Physics

1. Jesper L. R. Andersson
2. Mark A. Griswold
3. Essa Yacoub
4. Kamil Ugurbil
5. Stamatios N. Sotiropoulos
6. Arvid Lundervold

In Radiology, Nuclear Medicine and Imaging

1. Stephen M. Smith
2. Matthew F. Glasser
3. Jesper L. R. Andersson
4. Kamil Ugurbil
5. Essa Yacoub
6. Stamatios N. Sotiropoulos
7. Saâd Jbabdi
8. David C. Van Essen

In Spectroscopy

1. David A. Feinberg
2. Stephen M. Smith
3. Jesper L. R. Andersson
4. Matthew F. Glasser

Citations in the corpus

• Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project (2013, methodology): “This approach was further advanced with the introduction of the CAIPIRINHA (Controlled Aliasing In Parallel Imaging Results In Higher Acceleration) (Breuer et al., 2005, 2006) concept where unaliasing of slices was improved significantly by manipulating the phase of the RF excitation pulses progress”
• Simultaneous multislice (SMS) imaging techniques (2015, methodology): “A further option for SMS-CAIPIRINHA reconstruction with GRAPPA becomes evident when recognizing the 3D nature of the SMS acquisition (54,55) and presenting the CAIPIRINHA phase cycles along the slice direction as a 2D reconstruction problem in analogy to volumetric 2D CAIPIRINHA (57) (Fig.”
• Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (2010, background): “As with undersampling of k-space, the g-factors achieved for unaliasing of multiple, simultaneously acquired slices is expected to improve with higher magnetic fields and a larger number of receive channels (12,13) and can possibly also be reduced by manipulating the aliasing pattern as in Controlle”
• Parallel MR imaging (2012, methodology): “As illustrated in Figure 13, CAIPIRINHA can be used in 3D scans to reduce the number of pixels that alias on top of each other, thereby reducing the g-factor-related noise enhancement in the parallel imaging reconstruction (17,18).”