Characterizing bladder filling physiology with long-axial-FOV dynamic PET/CT

  • Bladder filling during dynamic long-axial field-of-view (FOV) [18F]Fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) imaging leads to motion-related misalignment between frames. As a first step toward this misalignment correction, we track urinary bladder expansion and frame-byframe shape changes. Starting from the final PET frame, our algorithm applies intensity normalization, distribution-based correction, and region growing to estimate bladder volume over time. Compared to automated multi-organ segmentation frameworks, namely TotalSegmentator and MOOSE, the proposed PET-based method provides more accurate and physiologically plausible segmentations. Using our final-frame masks as reference, Dice-Sørensen coefficients were 0.40 ± 0.37 for TotalSegmentator and 0.70 ± 0.26 for MOOSE. In 21 successfully segmented patients, bladder volume increased approximately linearly over time (R2 = 0.94[0.88,0.97]), while fractional anisotropy decreased (Spearman’s ρ =Bladder filling during dynamic long-axial field-of-view (FOV) [18F]Fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) imaging leads to motion-related misalignment between frames. As a first step toward this misalignment correction, we track urinary bladder expansion and frame-byframe shape changes. Starting from the final PET frame, our algorithm applies intensity normalization, distribution-based correction, and region growing to estimate bladder volume over time. Compared to automated multi-organ segmentation frameworks, namely TotalSegmentator and MOOSE, the proposed PET-based method provides more accurate and physiologically plausible segmentations. Using our final-frame masks as reference, Dice-Sørensen coefficients were 0.40 ± 0.37 for TotalSegmentator and 0.70 ± 0.26 for MOOSE. In 21 successfully segmented patients, bladder volume increased approximately linearly over time (R2 = 0.94[0.88,0.97]), while fractional anisotropy decreased (Spearman’s ρ = −0.86[−0.96,−0.61]), indicating a trend toward a more spherical bladder shape during filling. The bladder was typically no longer traceable at frame 40 (4-4.5 min post-injection).…show moreshow less

Download full text files

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Varvara KondratyevaORCiD, Lukas FörnerORCiD, Kartikay TehlanORCiD, Melina WördehoffORCiD, Axel Rominger, Kuangyu Shi, Thomas WendlerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1339536
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/133953
ISSN:2364-5504OPAC
Parent Title (English):Current Directions in Biomedical Engineering
Publisher:Walter de Gruyter
Place of publication:Berlin
Type:Article
Language:English
Year of first Publication:2026
Publishing Institution:Universität Augsburg
Release Date:2026/10/15
Volume:12
Issue:1
First Page:255
Last Page:258
DOI:https://doi.org/10.1515/cdbme-2026-0165
Institutes:Fakultätsübergreifende Institute und Einrichtungen
Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Diagnostische und Interventionelle Radiologie
Medizinische Fakultät / Lehrstuhl für Diagnostische und Interventionelle Neuroradiologie
Medizinische Fakultät / Lehrstuhl für Datenmanagement und Clinical Decision Support
Fakultätsübergreifende Institute und Einrichtungen / Zentrum für Advanced Analytics and Predictive Sciences (CAAPS)
Medizinische Fakultät / Professur für Clinical Computational Medical Imaging Research
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung