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International Journal of Computer Assisted Radiology and Surgery

Published in:

01-06-2018 | Original Article

Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors

Authors: Qi Zeng, Golnoosh Samei, Davood Karimi, Claudia Kesch, Sara S. Mahdavi, Purang Abolmaesumi, Septimiu E. Salcudean

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 6/2018

Abstract

Purpose

In the current standard of care, real-time transrectal ultrasound (TRUS) is commonly used for prostate brachytherapy guidance. As TRUS provides limited soft tissue contrast, segmenting the prostate gland in TRUS images is often challenging and subject to inter-observer and intra-observer variability, especially at the base and apex where the gland boundary is hard to define. Magnetic resonance imaging (MRI) has higher soft tissue contrast allowing the prostate to be contoured easily. In this paper, we aim to show that prostate segmentation in TRUS images informed by MRI priors can improve on prostate segmentation that relies only on TRUS images.

Methods

First, we compare the TRUS-based prostate segmentation used in the treatment of 598 patients with a high-quality MRI prostate atlas and observe inconsistencies at the apex and base. Second, motivated by this finding, we propose an alternative TRUS segmentation technique that is fully automatic and uses MRI priors. The algorithm uses a convolutional neural network to segment the prostate in TRUS images at mid-gland, where the gland boundary can be clearly seen. It then reconstructs the gland boundary at the apex and base with the aid of a statistical shape model built from an MRI atlas of 78 patients.

Results

Compared to the clinical TRUS segmentation, our method achieves similar mid-gland segmentation results in the 598-patient database. For the seven patients who had both TRUS and MRI, our method achieved more accurate segmentation of the base and apex with the MRI segmentation used as ground truth.

Conclusion

Our results suggest that utilizing MRI priors in TRUS prostate segmentation could potentially improve the performance at base and apex.

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Title: Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors
Authors: Qi Zeng
Golnoosh Samei
Davood Karimi
Claudia Kesch
Sara S. Mahdavi
Purang Abolmaesumi
Septimiu E. Salcudean
Publication date: 01-06-2018
Publisher: Springer International Publishing
Published in: International Journal of Computer Assisted Radiology and Surgery / Issue 6/2018
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-018-1742-6

At a glance: The STEP trials

Springer Medicine

Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors

Abstract

Purpose

Methods

Results

Conclusion

At a glance: The STEP trials

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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