Two collaborative projects supported within the canSERV framework,
in partnership with RCSI and LIH,
are currently in progress with active contributions from our team.
As part of these projects, we are providing data processing services through PerfLab, enabling efficient
and standardized analysis workflows for advanced imaging data.
In parallel, we are systematically collecting feedback from project users. Their input is being
directly incorporated into ongoing development, helping us refine the software, improve usability,
and address practical needs identified during deployment.
We look forward to continuing collaboration with our partners and further enhancing PerfLab based on
user experience and emerging research requirements. For more information on the canSERV initiative, please visit the official website:
canSERV - Cancer Survivorship Research
Perflab core V4 released
Users can now benefit from a new version of PerfLab computational
core.
The new core adds multiple new features, like automatic processing and report creation.
In the backend the core runs on updated Python version and follows stricter coding rules to ensure
better
reproducibility and maintainability. With the release of V4 a
V5_dev is now out for testing and open for feature additons. The V3 is now considered legacy and
will no longer be maintained.
Automation added
Users can now run all or part of the processing chain automatically
by providing
a link to a reference processing. In steps where user-defined regions of interest are preferred, the
processing
pauses and waits for input.
Safe connection to PACS
In cooperation with Medoro s.r.o., we have implemented a secure
connection between
PerfLab and the hospital's PACS. This allows DCE-MRI data to be sent to PerfLab with a single click
from the MR
system's console. Once the perfusion map calculation is complete, the results are automatically sent
back to the PACS.
Jake Cray presented his pilot study on evaluation of PerfLab's blind
deconvolution
on his datasets with direct measurements of AIF in the aorta:
CRAY, J L; VITOUŠ, J; JIŘÍK R, TITARENKO S, BUCKLEY D L. Blind Estimation Versus Direct Measurement
of the Arterial
Input Function in DCE-MRI of the Breast. ISMRM Workshop on Perfusion MRI. 2025. Pamplona, Spain