Abstract
Radiological assessment of brain disease progression and response to therapy is often performed with repeated MRI scans acquired
every few weeks/months. In these longitudinal studies, each scan is acquired anew without taking into account the information present in previous scans. However, many image regions remain unchanged from one
time point to the next, making the difference image between the time
points sparse. We present a new algorithm that speeds up the MR acquisition process of the repeated scan by using the data acquired in the
baseline scan of the same patient. Our method uses the baseline scan
to identify regions of interest in the repeated scan. These regions are
partially acquired, followed by reconstruction process that speeds up
the entire scanning procedure. Our experimental study on 16 pairs of
baseline/follow-up MR scans shows that the image quality of the MR
scans produced by our method with a speedup factor of up to 3.5 are
within the imaging variability of the scanner.
every few weeks/months. In these longitudinal studies, each scan is acquired anew without taking into account the information present in previous scans. However, many image regions remain unchanged from one
time point to the next, making the difference image between the time
points sparse. We present a new algorithm that speeds up the MR acquisition process of the repeated scan by using the data acquired in the
baseline scan of the same patient. Our method uses the baseline scan
to identify regions of interest in the repeated scan. These regions are
partially acquired, followed by reconstruction process that speeds up
the entire scanning procedure. Our experimental study on 16 pairs of
baseline/follow-up MR scans shows that the image quality of the MR
scans produced by our method with a speedup factor of up to 3.5 are
within the imaging variability of the scanner.
| Original language | English |
|---|---|
| Title of host publication | 2nd International Worksop on Sparsity Techniques in Medical Imaging (STMI 2014) |
| Number of pages | 9 |
| State | Published - 2014 |
| Event | 2nd International Workshop on Sparsity Techniques in Medical Imaging, STMI 2014: held in conjunction with MICCAI 2014 - Boston, United States Duration: 14 Sep 2014 → 18 Sep 2014 Conference number: 2 http://stmi2014.ece.cornell.edu/ |
Conference
| Conference | 2nd International Workshop on Sparsity Techniques in Medical Imaging, STMI 2014 |
|---|---|
| Abbreviated title | STMI 2014 |
| Country/Territory | United States |
| City | Boston |
| Period | 14/09/14 → 18/09/14 |
| Internet address |