Towards reproducible perivascular space quantification: an open-source perivascular space segmentation benchmark

Motivation: The lack of open-source perivascular space (PVS) segmentation code hampers reproducible research, leading to redundant efforts, and hindering broader implementation of PVS segmentation. Goal(s): To create an open-source PVS segmentation benchmark. Approach: Phase 1: We engaged the PVS research community to contribute code to our open-source repository. We are currently collecting, verifying, and containerizing code submissions. Phase 2: We plan to compare submitted code against each other and a manually segmented ground truth benchmark. Our goal is to develop community guidelines based on input data. Results: We have received several code contributions and have issued an open call for more submissions. Impact: The efforts of the PVS repository team will establish an open-source platform for software code related to PVS quantification, minimizing duplicate development, enhancing reproducibility, and providing a benchmark for future development and comparison of segmentation methods.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4733
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards reproducible perivascular space quantification: an open-source perivascular space segmentation benchmark

María Jaramillo, Jacobus F.A. Jansen, José Bernal, Eva M. van Heese et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cerebrospinal fluid and hydrocephalus
article

Towards reproducible perivascular space quantification: an open-source perivascular space segmentation benchmark

María Jaramillo, Jacobus F.A. Jansen, José Bernal, Eva M. van Heese, Merel M. van der Thiel, V. Rives Molina, Britt van den Heuvel
article en

Abstract

Motivation: The lack of open-source perivascular space (PVS) segmentation code hampers reproducible research, leading to redundant efforts, and hindering broader implementation of PVS segmentation. Goal(s): To create an open-source PVS segmentation benchmark. Approach: Phase 1: We engaged the PVS research community to contribute code to our open-source repository. We are currently collecting, verifying, and containerizing code submissions. Phase 2: We plan to compare submitted code against each other and a manually segmented ground truth benchmark. Our goal is to develop community guidelines based on input data. Results: We have received several code contributions and have issued an open call for more submissions. Impact: The efforts of the PVS repository team will establish an open-source platform for software code related to PVS quantification, minimizing duplicate development, enhancing reproducibility, and providing a benchmark for future development and comparison of segmentation methods.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 73%
Cerebrospinal fluid and hydrocephalus
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Towards reproducible perivascular space quantification: an open-source perivascular space segmentation benchmark — María Jaramillo, Jacobus F.A. Jansen, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS