Accelerating 3D MTC-BOOST in patients with congenital heart disease using a joint multi-scale variational neural network reconstruction

Fotaki, Anastasia; Fuin, Niccolò; Nordio, Giovanna; Jimeno, Carlos Velasco; Qi, Haikun; Emmanuel, Yaso; Pushparajah, Kuberan; Botnar, René M.; Prieto, Claudia

doi:10.1016/j.mri.2022.06.012

Cited by 6 publications

(6 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies implementing an initial version of the MTC-BOOST framework, which involved anisotropic acquisition ( 8 , 10 , 24 ) and only translational respiratory motion correction ( 8 , 10 , 24 ), demonstrated that it is suitable for PV depiction and has potential for flow-related artifact reduction ( 10 , 24 ). The current study has applied an isotropic MTC-BOOST sequence and considered translational and nonrigid motion correction, along with in-line reconstruction in the imager.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, we believe the MTC-BOOST sequence, with its resistance to flow- and off resonance–related artifacts and its excellent definition of pulmonary venous anatomy, lends itself for this role. Once combined with further acceleration strategies, potentially incorporating deep learning, the sequence may be able to achieve a resolution of 1 mm ( 24 – 26 ).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Free-breathing, Contrast Agent–free Whole-Heart MTC-BOOST Imaging: Single-Center Validation Study in Adult Congenital Heart Disease

Fotaki¹,

Pushparajah²,

Hajhosseiny³

et al. 2023

Radiology: Cardiothoracic Imaging

Self Cite

View full text Add to dashboard Cite

Purpose To assess the clinical performance of the three-dimensional, free-breathing, Magnetization Transfer Contrast Bright-and-black blOOd phase-SensiTive (MTC-BOOST) sequence in adult congenital heart disease (ACHD). Materials and Methods In this prospective study, participants with ACHD undergoing cardiac MRI between July 2020 and March 2021 were scanned with the clinical T2-prepared balanced steady-state free precession sequence and proposed MTC-BOOST sequence. Four cardiologists scored their diagnostic confidence on a four-point Likert scale for sequential segmental analysis on images acquired with each sequence. Scan times and diagnostic confidence were compared using the Mann-Whitney test. Coaxial vascular dimensions at three anatomic landmarks were measured, and agreement between the research sequence and the corresponding clinical sequence was assessed with Bland-Altman analysis. Results The study included 120 participants (mean age, 33 years ± 13 [SD]; 65 men). The mean acquisition time of the MTC-BOOST sequence was significantly lower compared with that of the conventional clinical sequence (9 minutes ± 2 vs 14 minutes ± 5; P < .001). Diagnostic confidence was higher for the MTC-BOOST sequence compared with the clinical sequence (mean, 3.9 ± 0.3 vs 3.4 ± 0.7; P < .001). Narrow limits of agreement and mean bias less than 0.08 cm were found between the research and clinical vascular measurements. Conclusion The MTC-BOOST sequence provided efficient, high-quality, and contrast agent–free three-dimensional whole-heart imaging in ACHD, with shorter, more predictable acquisition time and improved diagnostic confidence compared with the reference standard clinical sequence. Keywords: MR Angiography, Cardiac Supplemental material is available for this article. Published under a CC BY 4.0 license

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Free-breathing, Contrast Agent–free Whole-Heart MTC-BOOST Imaging: Single-Center Validation Study in Adult Congenital Heart Disease

Fotaki¹,

Pushparajah²,

Hajhosseiny³

et al. 2023

Radiology: Cardiothoracic Imaging

Self Cite

View full text Add to dashboard Cite

show abstract

“…Fokati et al [ 50 ] applied a joint Multi-Scale Variational Neural Network to accelerate the reconstruction time of a prototype of balanced-Steady-State Free Precession sequence for 3D whole-heart imaging: the Free-breathing Magnetization Transfer Contrast Bright blOOd phase SensiTive (MTC-BOOST). They concluded that the proposed five-fold accelerated jMS-VNN MTC-BOOST framework provides efficient 3D whole-heart bright-blood imaging in fast acquisition (3.0 ± 1.0 min vs. 9.0 ± 1.1 min) and reconstruction time (10 ± 0.5 min vs. 20 ± 2 s) compared to conventional Compressed Sensing with concomitant reduction in flow and off-resonance artifacts.…”

Section: Ai In Cardiac Magnetic Resonancementioning

confidence: 99%

Artificial Intelligence in Cardiovascular CT and MR Imaging

Lanzafame

Bucolo

Muscogiuri

et al. 2023

Life

View full text Add to dashboard Cite

The technological development of Artificial Intelligence (AI) has grown rapidly in recent years. The applications of AI to cardiovascular imaging are various and could improve the radiologists’ workflow, speeding up acquisition and post-processing time, increasing image quality and diagnostic accuracy. Several studies have already proved AI applications in Coronary Computed Tomography Angiography and Cardiac Magnetic Resonance, including automatic evaluation of calcium score, quantification of coronary stenosis and plaque analysis, or the automatic quantification of heart volumes and myocardial tissue characterization. The aim of this review is to summarize the latest advances in the field of AI applied to cardiovascular CT and MR imaging.

show abstract

“…Their novelty and their current development status limit DL to a use mostly in small, exploratory studies, rather than large clinical validation trials. In addition to the signal-dictionary matching in cMRF, DL has been applied to quickly reconstruct T1 and T2 maps directly from cMRF images ( 107 ), reconstruct feature maps from multitasking images while accelerating reconstruction time by a factor of up to 3,000 ( 109 ), accelerate the acquisition of whole-heart magnetization transfer images fivefold ( 28 ), and has accurately estimated image IQ from other sequences in line with expert human reader ratings ( 110 ). Since DL has the potential to expedite the time-consuming and computationally demanding reconstruction processes of many SMART, its application will likely increase as SMART become more mature.…”

Section: Deep Learning Applications To Simultaneous Multi-parametric ...mentioning

confidence: 99%

Simultaneous multi-parametric acquisition and reconstruction techniques in cardiac magnetic resonance imaging: Basic concepts and status of clinical development

Eyre

Lindsay

Razzaq

et al. 2022

Front. Cardiovasc. Med.

View full text Add to dashboard Cite

Simultaneous multi-parametric acquisition and reconstruction techniques (SMART) are gaining attention for their potential to overcome some of cardiovascular magnetic resonance imaging’s (CMR) clinical limitations. The major advantages of SMART lie within their ability to simultaneously capture multiple “features” such as cardiac motion, respiratory motion, T1/T2 relaxation. This review aims to summarize the overarching theory of SMART, describing key concepts that many of these techniques share to produce co-registered, high quality CMR images in less time and with less requirements for specialized personnel. Further, this review provides an overview of the recent developments in the field of SMART by describing how they work, the parameters they can acquire, their status of clinical testing and validation, and by providing examples for how their use can improve the current state of clinical CMR workflows. Many of the SMART are in early phases of development and testing, thus larger scale, controlled trials are needed to evaluate their use in clinical setting and with different cardiac pathologies.

show abstract

Accelerating 3D MTC-BOOST in patients with congenital heart disease using a joint multi-scale variational neural network reconstruction

Cited by 6 publications

References 41 publications

Free-breathing, Contrast Agent–free Whole-Heart MTC-BOOST Imaging: Single-Center Validation Study in Adult Congenital Heart Disease

Free-breathing, Contrast Agent–free Whole-Heart MTC-BOOST Imaging: Single-Center Validation Study in Adult Congenital Heart Disease

Artificial Intelligence in Cardiovascular CT and MR Imaging

Simultaneous multi-parametric acquisition and reconstruction techniques in cardiac magnetic resonance imaging: Basic concepts and status of clinical development

Contact Info

Product

Resources

About