Assessment of swallowing and its disorders—A dynamic MRI study

Kumar, KV Vijay; Shankar, V.; Santosham, Roy

doi:10.1016/j.ejrad.2012.09.010

Cited by 18 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A wide range of applications can profit from these dynamic studies (Höwing et al, 1999), such as the assessment of swallowing disorders (Kumar et al, 2013) or the characterisation of the articulatory properties of speech Shosted et al, 2012;. A notable example of the latter is the study of nasal and oral vowels (for example, considering European Portuguese, the second sound in "canto" ([I] sing) and "cato" (cactus)).…”

Section: Introductionmentioning

confidence: 98%

Unsupervised segmentation of the vocal tract from real-time MRI sequences

Silva

Teixeira

2015

Computer Speech & Language

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 98%

Unsupervised segmentation of the vocal tract from real-time MRI sequences

Silva

Teixeira

2015

Computer Speech & Language

View full text Add to dashboard Cite

“…For instance, three studies have demonstrated the feasibility of RT-MRI in providing sufficient spatiotemporal resolution to characterize swallowing in real time. 26–28 A few clinical studies of swallowing have been carried out using RT-MRI, for example comparisons to existing invasive modalities on dysphagia patients, 29 assessment of swallowing disorders in normal and brainstem lesion patients, 30 and evaluation of swallowing in postglossectomy patients have been demonstrated. 31 …”

mentioning

confidence: 99%

Recommendations for real-time speech MRI

Lingala

Sutton

Miquel

et al. 2015

J. Magn. Reson. Imaging

127

View full text Add to dashboard Cite

Real-time magnetic resonance imaging (RT-MRI) is being increasingly used for speech and vocal production research studies. Several imaging protocols have emerged based on advances in RT-MRI acquisition, reconstruction, and audio-processing methods. This review summarizes the state-of-the-art, discusses technical considerations, and provides specific guidance for new groups entering this field. We provide recommendations for performing RT-MRI of the upper airway. This is a consensus statement stemming from the ISMRM-endorsed Speech MRI summit held in Los Angeles, February 2014. A major unmet need identified at the summit was the need for consensus on protocols that can be easily adapted by researchers equipped with conventional MRI systems. To this end, we provide a discussion of tradeoffs in RT-MRI in terms of acquisition requirements, a priori assumptions, artifacts, computational load, and performance for different speech tasks. We provide four recommended protocols and identify appropriate acquisition and reconstruction tools. We list pointers to open-source software that facilitate implementation. We conclude by discussing current open challenges in the methodological aspects of RT-MRI of speech.

show abstract

“…Dynamic and real-time MRI (rtMRI) of the upper vocal tract can provide an insight into the disease and help treatment planning. It has, for example, been used to study speech particularly in patients with repaired cleft palate and velopharyngeal insufficiency (e.g., [23][24][25][26]), while swallow studies have been used to study normal deglutition (e.g., [27,28]), including breastfeeding swallow [29] and a variety of conditions, particularly tongue reconstruction post-cancer [30][31][32][33].…”

Section: Overview Of Dynamic and Rtmri: Sequences And Acquisition Strategiesmentioning

confidence: 99%

“…As our primary interest is the clinical study of velopharyngeal closure, the speech sample used in this prototype was a typical clinical one that include a series of words and short sentences. However, the current software development framework can be easily used to create numerical simulations from dynamic MRI scans of individual phonics [110] or of swallow studies [27,28]. For the latter, the bolus would have to be segmented individually to create an extra region in the numerical simulation.…”

Section: Conclusion and Possible Directions For Future Workmentioning

confidence: 99%

Realistic Dynamic Numerical Phantom for MRI of the Upper Vocal Tract

et al. 2020

View full text Add to dashboard Cite

Dynamic and real-time MRI (rtMRI) of human speech is an active field of research, with interest from both the linguistics and clinical communities. At present, different research groups are investigating a range of rtMRI acquisition and reconstruction approaches to visualise the speech organs. Similar to other moving organs, it is difficult to create a physical phantom of the speech organs to optimise these approaches; therefore, the optimisation requires extensive scanner access and imaging of volunteers. As previously demonstrated in cardiac imaging, realistic numerical phantoms can be useful tools for optimising rtMRI approaches and reduce reliance on scanner access and imaging volunteers. However, currently, no such speech rtMRI phantom exists. In this work, a numerical phantom for optimising speech rtMRI approaches was developed and tested on different reconstruction schemes. The novel phantom comprised a dynamic image series and corresponding k-space data of a single mid-sagittal slice with a temporal resolution of 30 frames per second (fps). The phantom was developed based on images of a volunteer acquired at a frame rate of 10 fps. The creation of the numerical phantom involved the following steps: image acquisition, image enhancement, segmentation, mask optimisation, through-time and spatial interpolation and finally the derived k-space phantom. The phantom was used to: (1) test different k-space sampling schemes (Cartesian, radial and spiral); (2) create lower frame rate acquisitions by simulating segmented k-space acquisitions; (3) simulate parallel imaging reconstructions (SENSE and GRAPPA). This demonstrated how such a numerical phantom could be used to optimise images and test multiple sampling strategies without extensive scanner access.

show abstract

Assessment of swallowing and its disorders—A dynamic MRI study

Cited by 18 publications

References 8 publications

Unsupervised segmentation of the vocal tract from real-time MRI sequences

Unsupervised segmentation of the vocal tract from real-time MRI sequences

Recommendations for real-time speech MRI

Realistic Dynamic Numerical Phantom for MRI of the Upper Vocal Tract

Contact Info

Product

Resources

About