Deep Learning Segmentation of Pelvic Soft Tissue in Isotropic and Anisotropic MRI Using Routine T2 Scans

Isotropic MRI reconstructions yielded slightly better segmentation results and provided more anatomically accurate 3D models. This suggests that isotropic reconstruction should be favored in clinical workflows to improve segmentation accuracy and efficiency in pelvic MRI images for accurate preoperative planning and surgical navigation.

Authors

Can Ozan Tan (ORCID: https://orcid.org/0000-0001-9673-9907)
Jan W. A. de Vries
A. R. Wijsmuller
Rob C. Brink (ORCID: https://orcid.org/0000-0001-7982-8975)
Joep Kraeima (ORCID: https://orcid.org/0000-0001-8527-960X)
Renske Schram
Manon A.G. Bakker

Institutions

University Medical Center Groningen (NL)
University of Groningen (NL)
University of Twente (NL)

Publication Details

Journal: Journal of Computer Assisted Tomography
Published: 2025-11-24
DOI: https://doi.org/10.1097/rct.0000000000001828
Primary Topic: Medical Imaging and Analysis
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning Segmentation of Pelvic Soft Tissue in Isotropic and Anisotropic MRI Using Routine T2 Scans

Can Ozan Tan, Jan W. A. de Vries, A. R. Wijsmuller, Rob C. Brink et al.

Nov 24, 2025

Journal of Computer Assisted Tomography

Medical Imaging and Analysis

article

Deep Learning Segmentation of Pelvic Soft Tissue in Isotropic and Anisotropic MRI Using Routine T2 Scans

Can Ozan Tan, Jan W. A. de Vries, A. R. Wijsmuller, Rob C. Brink, Joep Kraeima, Renske Schram, Manon A.G. Bakker

November 24, 2025article en

Abstract

Isotropic MRI reconstructions yielded slightly better segmentation results and provided more anatomically accurate 3D models. This suggests that isotropic reconstruction should be favored in clinical workflows to improve segmentation accuracy and efficiency in pelvic MRI images for accurate preoperative planning and surgical navigation.

Journal of Computer Assisted Tomography

University Medical Center Groningen (NL), University of Groningen (NL), University of Twente (NL)

Openalex Percentile: Top 38%

Medical Imaging and Analysis

DOI Source OpenAlex

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Deep Learning Segmentation of Pelvic Soft Tissue in Isotropic and Anisotropic MRI Using Routine T2 Scans — Can Ozan Tan, Jan W. A. de Vries, et al. · Journal of Computer Assisted Tomography (2025) | TGRS Research Map | TGRS