OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
Journal:
arXiv
Published Date:
May 18, 2025
Abstract
Prostate cancer is one of the most common and lethal cancers among men,
making its early detection critically important. Although ultrasound imaging
offers greater accessibility and cost-effectiveness compared to MRI,
traditional transrectal ultrasound methods suffer from low sensitivity,
especially in detecting anteriorly located tumors. Ultrasound computed
tomography provides quantitative tissue characterization, but its clinical
implementation faces significant challenges, particularly under anatomically
constrained limited-angle acquisition conditions specific to prostate imaging.
To address these unmet needs, we introduce OpenPros, the first large-scale
benchmark dataset explicitly developed for limited-view prostate USCT. Our
dataset includes over 280,000 paired samples of realistic 2D speed-of-sound
(SOS) phantoms and corresponding ultrasound full-waveform data, generated from
anatomically accurate 3D digital prostate models derived from real clinical
MRI/CT scans and ex vivo ultrasound measurements, annotated by medical experts.
Simulations are conducted under clinically realistic configurations using
advanced finite-difference time-domain and Runge-Kutta acoustic wave solvers,
both provided as open-source components. Through comprehensive baseline
experiments, we demonstrate that state-of-the-art deep learning methods surpass
traditional physics-based approaches in both inference efficiency and
reconstruction accuracy. Nevertheless, current deep learning models still fall
short of delivering clinically acceptable high-resolution images with
sufficient accuracy. By publicly releasing OpenPros, we aim to encourage the
development of advanced machine learning algorithms capable of bridging this
performance gap and producing clinically usable, high-resolution, and highly
accurate prostate ultrasound images. The dataset is publicly accessible at
https://open-pros.github.io/.
