Free‐breathing abdominal <scp>MRI</scp> improved by repeated k‐t‐subsampling and artifact‐minimization (Re<scp>KAM</scp>)

Chu, Mei Lan; Chang, Hing Chiu; Chung, Hsiao Wen; Bashir, Mustafa R.; Cai, Jing; Zhang, Lei; Sun, Duohua; Chen, Nan‐kuei

doi:10.1002/mp.12674

Cited by 6 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6,7 Likewise, free-breathing or respiratory triggering methods are preferred to breath-holding techniques, particularly in patients who cannot hold their breaths for long periods or who are unable to follow specific instructions. 6,8,9 Newer accelerated parallel imaging or free-breathing motion-resistant reconstruction techniques may also be utilized particularly for post-contrast sequences.…”

Section: Essential Principles Of Body Magnetic Resonance Imaging Of T...mentioning

confidence: 99%

The Role of Magnetic Resonance in Evaluating Abdominopelvic Trauma - Part 1: Pancreatic and Hepatobiliary Injuries

Rajput

Mellnick

2022

Can Assoc Radiol J

View full text Add to dashboard Cite

Trauma is an important cause of mortality, particularly in the young. While computed tomography (CT) is the mainstay of body imaging in the setting of trauma, magnetic resonance (MR) imaging can be useful in stable patients. Although more commonly used in spinal and musculoskeletal trauma, MR also has a role in abdominopelvic trauma. Broadly, its uses include clarification of equivocal cases, monitoring complications of trauma, particularly with solid organ injury, or as a primary imaging modality for patients with low suspicion for injury for whom avoiding ionizing radiation is a priority—namely, in pediatric and pregnant patients. In this two-part review article, we will review clinical scenarios where this may be encountered, utilizing case examples. This first installment will focus on pancreatic and hepatobiliary injuries. Pancreatic trauma may be difficult to diagnose on CT, and MR may aid in demonstrating pancreatic duct disruption, allowing for accurate grading according to American Association for the Surgery of Trauma (AAST) criteria. It may also be a useful modality for monitoring evolution of pancreatic injuries and/or pseudocyst development, guiding potential stenting, and/or drainage. Biliary injuries are also optimally evaluated with MR, particularly when aided by the use of hepatobiliary contrast material. This can allow for accurate delineation of biliary ductal anatomy and aid in planning percutaneous or endoscopic treatment of bile leaks.

show abstract

Section: Essential Principles Of Body Magnetic Resonance Imaging Of T...mentioning

confidence: 99%

The Role of Magnetic Resonance in Evaluating Abdominopelvic Trauma - Part 1: Pancreatic and Hepatobiliary Injuries

Rajput

Mellnick

2022

Can Assoc Radiol J

View full text Add to dashboard Cite

show abstract

“…Nevertheless, for the image acquisition in GRE images, several breath-holds are needed so that good cooperation from the patient during the examination has a significant influence on the image quality. To tackle this problem, several free breathing approaches have been developed to make MR image quality as independent as possible from breathing commands which are, however, not yet established in clinical routine [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging

et al. 2022

View full text Add to dashboard Cite

Purpose: The purpose of this study was to test the technical feasibility and the impact on the image quality of a deep learning-based super-resolution reconstruction algorithm in 1.5 T abdominopelvic MR imaging. Methods: 44 patients who underwent abdominopelvic MRI were retrospectively included, of which 4 had to be subsequently excluded. After the acquisition of the conventional volume interpolated breath-hold examination (VIBEStd), images underwent postprocessing, using a deep learning-based iterative denoising super-resolution reconstruction algorithm for partial Fourier acquisitions (VIBESR). Image analysis of 40 patients with a mean age of 56 years (range 18–84 years) was performed qualitatively by two radiologists independently using a Likert scale ranging from 1 to 5, where 5 was considered the best rating. Results: Image analysis showed an improvement of image quality, noise, sharpness of the organs and lymph nodes, and sharpness of the intestine for pre- and postcontrast images in VIBESR compared to VIBEStd (each p < 0.001). Lesion detectability was better for VIBESR (p < 0.001), while there were no differences concerning the number of lesions. Average acquisition time was 16 s (±1) for the upper abdomen and 15 s (±1) for the pelvis for VIBEStd, and 15 s (±1) for the upper abdomen and 14 s (±1) for the pelvis for VIBESR. Conclusion: This study demonstrated the technical feasibility of a deep learning-based super-resolution algorithm including partial Fourier technique in abdominopelvic MR images and illustrated a significant improvement of image quality, noise, and sharpness while reducing TA.

show abstract

“…Magnetic resonance imaging (MRI) plays an increasingly important role in various aspects of radiotherapy, including tumor detection, motion management, treatment planning, on‐board image guidance, dose verification, and tumor response assessment 1–28 . The increasing number of hybrid MR‐Linac machines, the non‐ionizing, superior soft tissue contrast nature of MRI, and often less noticed, versatile image contrast capability, may have all contributed to the increasing clinical utility of MRI in radiotherapy.…”

Section: Introductionmentioning

confidence: 99%

Improving liver tumor image contrast and synthesizing novel tissue contrasts by adaptive multiparametric magnetic resonance imaging fusion

Zhang

Yin

et al. 2022

Precision Radiation Oncology

Self Cite

View full text Add to dashboard Cite

Objective: Multiparametric magnetic resonance imaging (MRI) renders rich and complementary anatomical and functional information, which is often utilized separately.This study aimed to propose an adaptive multiparametric MRI (mpMRI) fusion method, and examine its capability in improving tumor contrast and synthesizing novel tissue contrasts among liver cancer patients.Methods: An adaptive mpMRI fusion method was developed with five components: image pre-processing, fusion algorithm, database, adaptation rules, and fused MRI. The linear-weighted summation algorithm was used for fusion. Weight-driven and featuredriven adaptations were designed for different applications. A clinical-friendly graphic user interface (G was developed in Matlab and used for mpMRI fusion. Twelve liver cancer patients and a digital human phantom were included in the study. Synthesis of novel image contrast, and enhancement of image signal and contrast were examined in patient cases. Tumor contrast-to-noise ratio (CNR) and liver signal-to-noise ratio (SNR) were evaluated and compared before and after mpMRI fusion. Results:The fusion platform was applicable in both XCAT phantom and patient cases.Novel image contrasts, including enhancement of soft-tissue boundary, vertebral body, tumor, and composition of multiple image features in one image, were achieved. Tumor CNR improved from -1.70 ± 2.57 to 4.88 ± 2.28 (p < 0.0001) for T1-weighted (T1-w), from 3.39 ± 1.89 to 7.87 ± 3.47 (p < 0.01) for T2-w, and from 1.42 ± 1.66 to 7.69 ± 3.54 (p < 0.001) for T2/T1-w MRI. Liver SNR improved from 2.92 ± 2.39 to 9.96 ± 8.60 (p < 0.05) for diffusion-weighted MRI. The coefficient of variation of tumor CNR lowered from 1.57, 0.56, and 1.17 to 0.47, 0.44, and 0.46 for T1-w, T2-w, and T2/T1-w MRI, respectively. Conclusion:A multiparametric MRI fusion method was proposed and a prototype was developed. The method showed potential in improving clinically relevant features, suchThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

show abstract

Free‐breathing abdominal MRI improved by repeated k‐t‐subsampling and artifact‐minimization (ReKAM)

Cited by 6 publications

References 16 publications

The Role of Magnetic Resonance in Evaluating Abdominopelvic Trauma - Part 1: Pancreatic and Hepatobiliary Injuries

The Role of Magnetic Resonance in Evaluating Abdominopelvic Trauma - Part 1: Pancreatic and Hepatobiliary Injuries

Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging

Improving liver tumor image contrast and synthesizing novel tissue contrasts by adaptive multiparametric magnetic resonance imaging fusion

Contact Info

Product

Resources

About