Related Experiment Video
Updated: Jun 12, 2026
Phase-Resolved Functional Lung MRI for Pulmonary Ventilation and Perfusion (V/Q) Assessment
Published on: August 9, 2024
Improving temporal resolution of pulmonary perfusion imaging in rats using the partially separable functions model
Cornelius Brinegar1, Sarah S Schmitter, Nilesh N Mistry
1Department of Electrical Computer Engineering University of Illinois at Urbana-Champaign Urbana Illinois, USA. cornelius.brinegar@gmail.com
Abstract:
Dynamic contrast-enhanced MRI (or DCE-MRI) is a useful tool for measuring blood flow and perfusion, and it has found use in the study of pulmonary perfusion in animal models. However, DCE-MRI experiments are difficult in small animals such as rats. A recently developed method known as Interleaved Radial Imaging and Sliding window-keyhole (IRIS) addresses this problem by using a data acquisition scheme that covers (k,t)-space with data acquired from multiple bolus injections of a contrast agent. However, the temporal resolution of IRIS is limited by the effects of temporal averaging inherent in the sliding window and keyhole operations. This article describes a new method to cover (k,t)-space based on the theory of partially separable functions (PSF). Specifically, a sparse sampling of (k,t)-space is performed to acquire two data sets, one with high-temporal resolution and the other with extended k-space coverage. The high-temporal resolution training data are used to determine the temporal basis functions of the PSF model, whereas the other data set is used to determine the spatial variations of the model. The proposed method was validated by simulations and demonstrated by an experimental study. In this particular study, the proposed method achieved a temporal resolution of 32 msec.
Insights
This study introduces a new dynamic contrast-enhanced MRI (DCE-MRI) method for improved pulmonary perfusion imaging in small animals. The technique achieves high temporal resolution, overcoming limitations of previous methods.
Area of Science:
- Medical Imaging
- Biophysics
- Cardiovascular Research
Background:
- Dynamic contrast-enhanced MRI (DCE-MRI) is crucial for assessing blood flow and perfusion, particularly in animal models.
- Challenges exist in applying DCE-MRI to small animals like rats due to technical difficulties.
- Existing methods like Interleaved Radial Imaging and Sliding window-keyhole (IRIS) have temporal resolution limitations.
Purpose of the Study:
- To develop an advanced DCE-MRI method for enhanced pulmonary perfusion imaging in small animals.
- To overcome the temporal resolution limitations of current DCE-MRI techniques.
- To improve the accuracy and feasibility of DCE-MRI in rat models.
Main Methods:
- A novel (k,t)-space sampling strategy based on partially separable functions (PSF) theory was developed.
- The method utilizes sparse sampling to acquire two distinct datasets: one for high temporal resolution and another for extended k-space coverage.
- PSF model's temporal basis functions and spatial variations are determined using the acquired datasets.
Main Results:
- The proposed PSF-based DCE-MRI method was validated through simulations and experimental studies.
- The technique successfully addressed the temporal averaging issues inherent in sliding window and keyhole methods.
- A superior temporal resolution of 32 milliseconds was achieved in the experimental study.
Conclusions:
- The novel PSF-based DCE-MRI method offers a significant advancement for pulmonary perfusion imaging in small animal research.
- This technique provides high temporal resolution, enabling more accurate assessment of dynamic physiological processes.
- The method demonstrates potential for overcoming previous limitations and improving DCE-MRI applications in preclinical studies.
