A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.

International Journal of Computer Assisted Radiology and Surgery
Kibrom Berihu GirumGilles Créhange

Abstract

This paper addresses the detection of the clinical target volume (CTV) in transrectal ultrasound (TRUS) image-guided intraoperative for permanent prostate brachytherapy. Developing a robust and automatic method to detect the CTV on intraoperative TRUS images is clinically important to have faster and reproducible interventions that can benefit both the clinical workflow and patient health. We present a multi-task deep learning method for an automatic prostate CTV boundary detection in intraoperative TRUS images by leveraging both the low-level and high-level (prior shape) information. Our method includes a channel-wise feature calibration strategy for low-level feature extraction and learning-based prior knowledge modeling for prostate CTV shape reconstruction. It employs CTV shape reconstruction from automatically sampled boundary surface coordinates (pseudo-landmarks) to detect the low-contrast and noisy regions across the prostate boundary, while being less biased from shadowing, inherent speckles, and artifact signals from the needle and implanted radioactive seeds. The proposed method was evaluated on a clinical database of 145 patients who underwent permanent prostate brachytherapy under TRUS guidance. Our method achieved...Continue Reading

References

Oct 23, 1997·Neural Computation·S Hochreiter, J Schmidhuber
Jan 24, 2012·Brachytherapy·Brian J DavisUNKNOWN American Brachytherapy Society
Jun 29, 2012·Computer Methods and Programs in Biomedicine·Soumya GhoseFabrice Meriaudeau
Jun 11, 2018·Medical Image Analysis·Emran Mohammad Abu AnasPurang Abolmaesumi
Jul 12, 2018·IEEE Transactions on Pattern Analysis and Machine Intelligence·Kaiming HeRoss Girshick
Aug 17, 2018·IEEE Transactions on Bio-medical Engineering·Vincent JaouenDimitris Visvikis
Apr 26, 2019·IEEE Transactions on Medical Imaging·Yi WangTianfu Wang

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Citations

Feb 25, 2021·Scientific Reports·Raabid HussainAlexis Bozorg Grayeli
Jul 3, 2021·Biomedicines·Masaaki KomatsuRyuji Hamamoto

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