# k‐t BLAST and k‐t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations

@article{Tsao2003ktBA, title={k‐t BLAST and k‐t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations}, author={Jeffrey Tsao and Peter Boesiger and Klaas Paul Pruessmann}, journal={Magnetic Resonance in Medicine}, year={2003}, volume={50} }

Dynamic images of natural objects exhibit significant correlations in k‐space and time. Thus, it is feasible to acquire only a reduced amount of data and recover the missing portion afterwards. This leads to an improved temporal resolution, or an improved spatial resolution for a given amount of acquisition. Based on this approach, two methods were developed to significantly improve the performance of dynamic imaging, named k‐t BLAST (Broad‐use Linear Acquisition Speed‐up Technique) and k‐t…

## 823 Citations

### k‐t PCA: Temporally constrained k‐t BLAST reconstruction using principal component analysis

- Computer ScienceMagnetic resonance in medicine
- 2009

It is shown that temporal basis functions calculated by subjecting the training data to principal component analysis (PCA) can be used to constrain the reconstruction such that the temporal resolution is improved.

### Accelerated cardiac perfusion imaging using k‐t SENSE with SENSE training

- Computer ScienceMagnetic resonance in medicine
- 2009

A modified k‐t SENSE reconstruction approach is presented, which aims at improving the temporal fidelity of first‐pass, contrast‐enhanced myocardial perfusion images at high accelerations by applying parallel imaging on the training data in order to increase their spatial resolution.

### Optimizing spatiotemporal sampling for k‐t BLAST and k‐t SENSE: Application to high‐resolution real‐time cardiac steady‐state free precession

- Computer ScienceMagnetic resonance in medicine
- 2005

With the synergistic combination of the k‐t approach with optimized sampling and SSFP with alternating k‐space sweeps, it was possible to achieve a high signal‐to‐noise ratio, high contrast, and high spatiotemporal resolutions, while achieving substantial immunity against eddy currents.

### Improved k-t BLAST and k-t SENSE using FOCUSS.

- Computer SciencePhysics in medicine and biology
- 2007

The main contribution of this paper is a new theory and algorithm that unifies the abovementioned approaches while overcoming their drawbacks and can successfully reconstruct a high resolution cardiac sequence and functional MRI data even from severely limited k–t samples, without incurring aliasing artifacts often observed in conventional methods.

### Improving k‐t SENSE by adaptive regularization

- MathematicsMagnetic resonance in medicine
- 2007

Simulations based on experimental data were performed to compare SPEAR, k‐t SENSE, and several other related methods, and the results showed that SPEAR can provide higher temporal resolution with significantly reduced image artifacts.

### k‐t GRAPPA: A k‐space implementation for dynamic MRI with high reduction factor

- Computer ScienceMagnetic resonance in medicine
- 2005

It is shown that the idea of GRAPPA can be applied in k‐t space to take advantage of the correlations and interpolate the missing data in k •t space and generate high spatial resolution reconstruction without significant loss of temporal resolution.

### Radial k‐t FOCUSS for high‐resolution cardiac cine MRI

- Computer ScienceMagnetic resonance in medicine
- 2010

In vivo experimental results show that this new method can provide high spatiotemporal resolution even from a very limited radial data set and use implicit gridding during FOCUSS iterations to prevent k‐space sampling errors from being propagated.

### Dynamic contrast‐enhanced myocardial perfusion MRI accelerated with k‐t sense

- MedicineMagnetic resonance in medicine
- 2007

The present study demonstrates the feasibility of applying k‐t SENSE to contrast‐enhanced myocardial perfusion MRI and using the speed‐up to increase spatial resolution.

### Fast MR parameter mapping using k‐t principal component analysis

- PhysicsMagnetic resonance in medicine
- 2011

It is found that three basis functions and a single training data line in central k‐space were sufficient to achieve up to an 8‐fold acceleration of the quantification measurement.

### k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations

- Computer ScienceMICCAI
- 2019

A novel deep learning based approach for dynamic MR image reconstruction, termed k-t NEXT (k-t NEtwork with X-f Transform), inspired by traditional methods to reconstruct the true signals from aliased signals in x-f domain to exploit the spatio-temporal redundancies.

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