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Published on: December 28, 2013
Perfusion assessment with bolus differentiation: a technique applicable to hyperpolarized tracers
E Johansson1, L E Olsson, S Månsson
1Department of Radiation Physics, Lund University Hospital, Sweden. edvin.johansson@radfys.lu.se
This study introduces a novel method for measuring tissue blood flow using hyperpolarized tracers. The technique accurately quantifies blood flow, transit time, and dispersion in renal arteries, overcoming limitations of previous methods.
Area of Science:
- Physiology
- Medical Imaging
- Biochemistry
Background:
- Assessing tissue blood flow is crucial for diagnosing and monitoring various medical conditions.
- Existing methods for blood flow assessment often face challenges with arterial delay and dispersion, complicating accurate quantification.
- Hyperpolarized tracers offer a promising avenue for advanced physiological measurements.
Purpose of the Study:
- To describe and validate a new technique for assessing tissue blood flow using hyperpolarized tracers.
- To quantify renal cortical blood flow, arterial transit time, and dispersion in rabbits.
- To demonstrate the technique's insensitivity to arterial delay and dispersion.
Main Methods:
- Utilized a novel technique based on the permanent destruction of hyperpolarized tracer magnetization.
- Employed a 13C-labeled compound (2-hydroxyethylacrylate) polarized via parahydrogen-induced polarization (PHIP).
- Studied renal cortical blood flow in six rabbits.
Main Results:
- Estimated renal cortical blood flow was 5.7/5.4 +/- 1.6/1.3 ml/min per milliliter of tissue (right/left kidney).
- Determined mean transit time in renal arteries to be 1.47/1.42 +/- 0.07/0.07 s.
- Quantified dispersion in renal arteries as 1.78/1.93 +/- 0.40/0.42 s2.
Conclusions:
- The described technique enables accurate assessment of tissue blood flow using hyperpolarized tracers.
- This method overcomes limitations related to arterial delay and dispersion.
- The study successfully quantified renal cortical blood flow and arterial dynamics in a rabbit model.
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