Ultra-High Contrast MRI: Using Divided Subtracted Inversion Recovery (dSIR) and Divided Echo Subtraction (dES) Sequences to Study the Brain and Musculoskeletal System.
Daniel M CornfeldPaul CondronGil NewburnJoshua P McGeownMiriam ScadengMark BydderMark GriffinGeoffrey G HandsfieldMeeghage Randika PereraTracy R MelzerSamantha HoldsworthEryn KwonGraeme BydderPublished in: Bioengineering (Basel, Switzerland) (2024)
Divided and subtracted MRI is a novel imaging processing technique, where the difference of two images is divided by their sum. When the sequence parameters are chosen properly, this results in images with a high T 1 or T 2 weighting over a small range of tissues with specific T 1 and T 2 values. In the T 1 domain, we describe the implementation of the divided Subtracted Inversion Recovery Sequence (dSIR), which is used to image very small changes in T 1 from normal in white matter. dSIR has shown widespread changes in otherwise normal-appearing white matter in patients suffering from mild traumatic brain injury (mTBI), substance abuse, and ischemic leukoencephalopathy. It can also be targeted to measure small changes in T 1 from normal in other tissues. In the T 2 domain, we describe the divided echo subtraction (dES) sequence that is used to image musculoskeletal tissues with a very short T 2 *. These tissues include fascia, tendons, and aponeuroses. In this manuscript, we explain how this contrast is generated, review how these techniques are used in our research, and discuss the current challenges and limitations of this technique.
Keyphrases
- contrast enhanced
- white matter
- diffusion weighted
- magnetic resonance
- deep learning
- magnetic resonance imaging
- mild traumatic brain injury
- diffusion weighted imaging
- gene expression
- computed tomography
- multiple sclerosis
- end stage renal disease
- high resolution
- convolutional neural network
- ejection fraction
- dual energy
- healthcare
- primary care
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- optical coherence tomography
- prognostic factors
- oxidative stress
- cerebral ischemia
- brain injury
- quality improvement
- amino acid
- patient reported
- cancer therapy