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

Baowei Fei, Viraj Master, Peter Nieh, Hamed Akbari, Xiaofeng Yang, Aaron Fenster, David Schuster

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

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 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.

Original languageEnglish (US)
Title of host publicationProstate Cancer Imaging
Subtitle of host publicationImage Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Proceedings
Pages100-108
Number of pages9
DOIs
StatePublished - Oct 11 2011
Externally publishedYes
EventInternational Workshop on Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions, Held in Conjunction with MICCAI 2011 - Toronto, ON, Canada
Duration: Sep 22 2011Sep 22 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6963 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshop on Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions, Held in Conjunction with MICCAI 2011
CountryCanada
CityToronto, ON
Period9/22/119/22/11

Fingerprint

Prostate Cancer
Biopsy
Ultrasound
Ultrasonics
Registration
Ultrasound Image
CT Image
Segmentation
3D Image
Non-rigid Registration
Multimodality
Phantom
Wavelet Transform
Three-dimension
Overlap
Wavelet transforms
Target

Keywords

  • 3D ultrasound imaging
  • image segmentation
  • image-guided biopsy
  • Molecular imaging
  • nonrigid image registration
  • PET/CT
  • prostate cancer
  • wavelet transform

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Fei, B., Master, V., Nieh, P., Akbari, H., Yang, X., Fenster, A., & Schuster, D. (2011). A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer. In Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Proceedings (pp. 100-108). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6963 LNCS). https://doi.org/10.1007/978-3-642-23944-1_11

A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer. / Fei, Baowei; Master, Viraj; Nieh, Peter; Akbari, Hamed; Yang, Xiaofeng; Fenster, Aaron; Schuster, David.

Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Proceedings. 2011. p. 100-108 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6963 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fei, B, Master, V, Nieh, P, Akbari, H, Yang, X, Fenster, A & Schuster, D 2011, A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer. in Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6963 LNCS, pp. 100-108, International Workshop on Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, 9/22/11. https://doi.org/10.1007/978-3-642-23944-1_11
Fei B, Master V, Nieh P, Akbari H, Yang X, Fenster A et al. A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer. In Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Proceedings. 2011. p. 100-108. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-23944-1_11
Fei, Baowei ; Master, Viraj ; Nieh, Peter ; Akbari, Hamed ; Yang, Xiaofeng ; Fenster, Aaron ; Schuster, David. / A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer. Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Proceedings. 2011. pp. 100-108 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{656f7ef4e2db47b78d3e25a6addb6696,
title = "A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer",
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 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.",
keywords = "3D ultrasound imaging, image segmentation, image-guided biopsy, Molecular imaging, nonrigid image registration, PET/CT, prostate cancer, wavelet transform",
author = "Baowei Fei and Viraj Master and Peter Nieh and Hamed Akbari and Xiaofeng Yang and Aaron Fenster and David Schuster",
year = "2011",
month = "10",
day = "11",
doi = "10.1007/978-3-642-23944-1_11",
language = "English (US)",
isbn = "9783642239434",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "100--108",
booktitle = "Prostate Cancer Imaging",

}

TY - GEN

T1 - A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer

AU - Fei, Baowei

AU - Master, Viraj

AU - Nieh, Peter

AU - Akbari, Hamed

AU - Yang, Xiaofeng

AU - Fenster, Aaron

AU - Schuster, David

PY - 2011/10/11

Y1 - 2011/10/11

N2 - 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 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.

AB - 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 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.

KW - 3D ultrasound imaging

KW - image segmentation

KW - image-guided biopsy

KW - Molecular imaging

KW - nonrigid image registration

KW - PET/CT

KW - prostate cancer

KW - wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=80053552033&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80053552033&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-23944-1_11

DO - 10.1007/978-3-642-23944-1_11

M3 - Conference contribution

C2 - 26866061

AN - SCOPUS:80053552033

SN - 9783642239434

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 100

EP - 108

BT - Prostate Cancer Imaging

ER -