Prostate diffusion MRI with minimal echo time using eddy current nulled convex optimized diffusion encoding

Zhang, Zhaohuan; Moulin, Kévin; Aliotta, Eric; Shakeri, Sepideh; Mirak, Sohrab Afshari; Hosseiny, Melina; Raman, Steven S.; Ennis, Daniel B.; Wu, Holden H.

doi:10.1002/jmri.26960

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…Additional technical improvements continue to emerge in the field, including improved fat suppression, 56 and eddy current suppression with optimized gradients. 110,111 These methods continue to advance diffusion MRI toward the goal of enabling reliable, artifactfree imaging, as required for precise quantification.…”

Section: Other Image Acquisition Developmentsmentioning

confidence: 99%

Quantitative diffusion MRI of the abdomen and pelvis

2021

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Diffusion MRI has enormous potential and utility in the evaluation of various abdominal and pelvic disease processes including cancer and noncancer imaging of the liver, prostate, and other organs. Quantitative diffusion MRI is based on acquisitions with multiple diffusion encodings followed by quantitative mapping of diffusion parameters that are sensitive to tissue microstructure. Compared to qualitative diffusion‐weighted MRI, quantitative diffusion MRI can improve standardization of tissue characterization as needed for disease detection, staging, and treatment monitoring. However, similar to many other quantitative MRI methods, diffusion MRI faces multiple challenges including acquisition artifacts, signal modeling limitations, and biological variability. In abdominal and pelvic diffusion MRI, technical acquisition challenges include physiologic motion (respiratory, peristaltic, and pulsatile), image distortions, and low signal‐to‐noise ratio. If unaddressed, these challenges lead to poor technical performance (bias and precision) and clinical outcomes of quantitative diffusion MRI. Emerging and novel technical developments seek to address these challenges and may enable reliable quantitative diffusion MRI of the abdomen and pelvis. Through systematic validation in phantoms, volunteers, and patients, including multicenter studies to assess reproducibility, these emerging techniques may finally demonstrate the potential of quantitative diffusion MRI for abdominal and pelvic imaging applications.

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Section: Other Image Acquisition Developmentsmentioning

confidence: 99%

Quantitative diffusion MRI of the abdomen and pelvis

2021

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“…One such approach is employing an optimized encoding scheme to ensure the preservation of SNR, even when a reduced number of averages is acquired. Zhang et al hypothesize that fewer averages can be acquired for DWI while maintaining sufficient SNR, by adjusting magnetic gradients for an optimized diffusion encoding scheme that is capable of suppressing eddy current‐induced distortion artifacts and facilitating improvement in SNR for a given b ‐value and EPI readout duration 39 . In this study, carried out prospectively on 10 volunteers, 5 patients, a phantom, and an ex‐vivo prostate specimen to compare the optimized diffusion encoding to conventional unipolar and bipolar encoding schemes, three radiologists found that the optimized encoding scheme demonstrated ≥25% higher SNR and had similar or higher image quality compared to bipolar encoding while also reducing eddy current effects.…”

Section: Resultsmentioning

confidence: 99%

Recent Developments in Speeding up Prostate MRI

Mir,

Fransen,

Wolterink

et al. 2023

Magnetic Resonance Imaging

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The increasing incidence of prostate cancer cases worldwide has led to a tremendous demand for multiparametric MRI (mpMRI). In order to relieve the pressure on healthcare, reducing mpMRI scan time is necessary. This review focuses on recent techniques proposed for faster mpMRI acquisition, specifically shortening T2W and DWI sequences while adhering to the PI‐RADS (Prostate Imaging Reporting and Data System) guidelines. Speeding up techniques in the reviewed studies rely on more efficient sampling of data, ranging from the acquisition of fewer averages or b‐values to adjustment of the pulse sequence. Novel acquisition methods based on undersampling techniques are often followed by suitable reconstruction methods typically incorporating synthetic priori information. These reconstruction methods often use artificial intelligence for various tasks such as denoising, artifact correction, improvement of image quality, and in the case of DWI, for the generation of synthetic high b‐value images or apparent diffusion coefficient maps. Reduction of mpMRI scan time is possible, but it is crucial to maintain diagnostic quality, confirmed through radiological evaluation, to integrate the proposed methods into the standard mpMRI protocol. Additionally, before clinical integration, prospective studies are recommended to validate undersampling techniques to avoid potentially inaccurate results demonstrated by retrospective analysis. This review provides an overview of recently proposed techniques, discussing their implementation, advantages, disadvantages, and diagnostic performance according to PI‐RADS guidelines compared to conventional methods.Level of Evidence3Technical EfficacyStage 3

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