Comprehensive quantitative ultrafast 3D liver MRI

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DESCRIPTION (provided by applicant): Approximately 7% of the 30.2 million MR exams performed in 2006 were abdominal MRIs, and the liver is by far the most common abdominal organ imaged using MR [1]. When successful, lesion characterization by MR is exquisite and elegant, and the definitive nature of the information can aid treatment follow-up, stop unnecessary workups and prevent invasive biopsies. All too often, however, liver MR is unsuccessful because of patient difficulties with breath-holds, problems with timing or acquisition in the critical (and non-repeatable) timed post-contrast series of images, operator dependence, image artifacts, or differences in levels of certainty in interpretation between various radiologists arising from inherently qualitative interpretations. Weighted images are at best surrogates of the underlying parameter and often poorly reflect the parameters [2]. Moreover, when quantitative information is available, it can outperform even expert readers of clinical contrasts [3]. If the liver examination could be performed quickly during free-breathing, without relying on operator expertise, and could provide quantitative parameters which can be used to definitively diagnose disease, the impact on the diagnosis and treatment of liver diseases would be significant. We propose to leverage rapid imaging, parameter quantitation, and body MRI expertise in our group to provide a rapid, quantitative, high quality 3D exam in under 10 minutes. A standard liver MR exam consists of multiple scans highlighting different contrast mechanisms: T2 weighted scans without and with fat saturation, T1-weighted in- and opposed-phase gradient echo, diffusion images, and T1-weighted fat saturated 3D gradient echo scans pre- and at least 3 timed phases post-contrast). We will develop, optimize and validate methods to generate quantitative measurements of each mechanism, by developing quantitative 3D high resolution DCE perfusion, fat fraction, T1 and T2 mapping, and improved 3D diffusion mapping. The diagnostic value of the new protocol will then be extensively tested on patients with biopsy proven pathologies, and will be compared to the present clinical standard.