A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer

Authors:
Baowei Fei;Viraj Master;Peter Nieh;Hamed Akbari;Xiaofeng Yang;Aaron Fenster;David Schuster
Affiliations:
Department of Radiology and Imaging Sciences and Winship Cancer Institute and Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA;Department of Urology, Emory University, Atlanta, GA;Department of Urology, Emory University, Atlanta, GA;Department of Radiology and Imaging Sciences;Department of Radiology and Imaging Sciences;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;Department of Radiology and Imaging Sciences
Venue:
MICCAI'11 Proceedings of the 2011 international conference on Prostate cancer imaging: image analysis and image-guided interventions
Year:
2011

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Abstract

Prostate cancer affects 1 in 6 men in the USA. Systematic transrectal ultrasound (TRUS)-guided biopsy is the standard method for a definitive diagnosis of prostate cancer. However, this "blind" biopsy approach can miss at least 20% of prostate cancers. In this study, we are developing a PET/CT directed, 3D ultrasound image-guided biopsy system for improved detection of prostate cancer. In order to plan biopsy in three dimensions, we developed an automatic segmentation method based wavelet transform for 3D TRUS images of the prostate. The segmentation was tested in five patients with a DICE overlap ratio of more than 91%. In order to incorporate PET/CT images into ultrasound-guided biopsy, we developed a nonrigid registration algorithm for TRUS and PET/CT images. The registration method has been tested in a prostate phantom with a target registration error (TRE) of less than 0.4 mm. The segmentation and registration methods are two key components of the multimodality molecular image-guided biopsy system.