ISMRM workshop on fat–water separation: Insights, applications and progress in MRI

Hu, Houchun H.; Börnert, Peter; Hernando, Diego; Kellman, Peter; Ma, Jingfei; Reeder, Scott B.; Sirlin, Claude B.

doi:10.1002/mrm.24369

Cited by 156 publications

(208 citation statements)

References 148 publications

(149 reference statements)

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“…Additionally, MR-based fat quantification methods such as IDEAL IQ face a number of confounding factors such as bias [77], [78], decay [79], [78], multiple fat peaks [80], [78], noise bias [77], and eddy currents [81]. Furthermore, these techniques actually measure proton density fat fraction, which is correlated, but not equivalent, to true mass fat fraction [82]. With this in mind, Fig.…”

Section: B Results Of Lfq Algorithmmentioning

confidence: 99%

A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images

Mendonça

Lamb

Sahani³

2014

IEEE Trans. Med. Imaging

177

202

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The ability of dual-energy computed-tomographic (CT) systems to determine the concentration of constituent materials in a mixture, known as material decomposition, is the basis for many of dual-energy CT's clinical applications. However, the complex composition of tissues and organs in the human body poses a challenge for many material decomposition methods, which assume the presence of only two, or at most three, materials in the mixture. We developed a flexible, model-based method that extends dual-energy CT's core material decomposition capability to handle more complex situations, in which it is necessary to disambiguate among and quantify the concentration of a larger number of materials. The proposed method, named multi-material decomposition (MMD), was used to develop two image analysis algorithms. The first was virtual unenhancement (VUE), which digitally removes the effect of contrast agents from contrast-enhanced dual-energy CT exams. VUE has the ability to reduce patient dose and improve clinical workflow, and can be used in a number of clinical applications such as CT urography and CT angiography. The second algorithm developed was liver-fat quantification (LFQ), which accurately quantifies the fat concentration in the liver from dual-energy CT exams. LFQ can form the basis of a clinical application targeting the diagnosis and treatment of fatty liver disease. Using image data collected from a cohort consisting of 50 patients and from phantoms, the application of MMD to VUE and LFQ yielded quantitatively accurate results when compared against gold standards. Furthermore, consistent results were obtained across all phases of imaging (contrast-free and contrast-enhanced). This is of particular importance since most clinical protocols for abdominal imaging with CT call for multi-phase imaging. We conclude that MMD can successfully form the basis of a number of dual-energy CT image analysis algorithms, and has the potential to improve the clinical utility of dual-energy CT in disease management.

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Section: B Results Of Lfq Algorithmmentioning

confidence: 99%

A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images

Mendonça

Lamb

Sahani³

2014

IEEE Trans. Med. Imaging

177

202

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“…Over the past few years, more sensitive and specific MRI methods have been developed for fat quantification [8]. These do not rely on T1, T2 or T2* but instead use the characteristic proton frequency signature of water and fat molecules (i.e.…”

Section: Introductionmentioning

confidence: 99%

Proton density water fraction as a biomarker of bone marrow cellularity: Validation in ex vivo spine specimens

MacEwan¹,

Glembotski

D’Lima

et al. 2014

Magnetic Resonance Imaging

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The purpose of this study was to evaluate a magnetic resonance imaging (MRI) technique for quantifying the proton density water fraction (PDWF) as a biomarker of bone marrow cellularity. Thirty-six human bone marrow specimens from 18 donors were excised and subjected to different measurements of tissue composition: PDWF quantification using a multiple gradient echo MRI technique, three biochemical assays (triglyceride, total lipid and water content) and a histological assessment of cellularity. Results showed a strong correlation between PDWF and bone marrow cellularity from histology (r = 0.72). A strong correlation was also found between PDWF and the biochemical assay of water content (r = 0.76). These results suggest the PDWF is a predictor of bone marrow cellularity in tissues and can provide a non-invasive assessment of bone marrow changes in clinical patients undergoing radiotherapy.

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“…It allows also quantitative fat measurement, which is an important MRI biomarker in diabetes and obesity [155] with applications in the heart, liver, pancreas, abdomen, spine, pelvis, and muscles.…”

Section: Co 2 Bold Technique and Perfusion Reserve Evaluationmentioning

confidence: 99%

State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications

et al. 2015

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This article reviews the most relevant state-of-the-art magnetic resonance (MR) techniques, which are clinically available to investigate brain diseases. MR acquisition techniques addressed include notably diffusion imaging (diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), and diffusion kurtosis imaging (DKI)) as well as perfusion imaging (dynamic susceptibility contrast (DSC), arterial spin labeling (ASL), and dynamic contrast enhanced (DCE)). The underlying models used to process these images are described, as well as the theoretic underpinnings of quantitative diffusion and perfusion MR imaging-based methods. The technical requirements and how they may help to understand, classify, or follow-up neurological pathologies are briefly summarized. Techniques, principles, advantages but also intrinsic limitations, typical artifacts, and alternative solutions developed to overcome them are discussed. In this article, we also review routinely available three-dimensional (3D) techniques in neuro MRI, including state-of-the-art and emerging angiography sequences, and briefly introduce more recently proposed 3D quantitative neuro-anatomy sequences, and new technology, such as multi-slice and multi-transmit imaging.

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ISMRM workshop on fat–water separation: Insights, applications and progress in MRI

Cited by 156 publications

References 148 publications

A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images

A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images

Proton density water fraction as a biomarker of bone marrow cellularity: Validation in ex vivo spine specimens

State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications

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