Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention

Wolfgang Wein, Shelby Brunke, Ali Khamene, Matthew R Callstrom, Nassir Navab

Research output: Contribution to journalArticle

224 Citations (Scopus)

Abstract

The fusion of tracked ultrasound with CT has benefits for a variety of clinical applications, however extensive manual effort is usually required for correct registration. We developed new methods that allow one to simulate medical ultrasound from CT in real-time, reproducing the majority of ultrasonic imaging effects. They are combined with a robust similarity measure that assesses the correlation of a combination of signals extracted from CT with ultrasound, without knowing the influence of each signal. This serves as the foundation of a fully automatic registration, that aligns a 3D ultrasound sweep with the corresponding tomographic modality using a rigid or an affine transformation model, without any manual interaction. These techniques were evaluated in a study involving 25 patients with indeterminate lesions in liver and kidney. The clinical setup, acquisition and registration workflow is described, along with the evaluation of the registration accuracy with respect to physician-defined Ground Truth. Our new algorithm correctly registers without any manual interaction in 76% of the cases, the average RMS TRE over multiple target lesions throughout the liver is 8.1 mm.

Original languageEnglish (US)
Pages (from-to)577-585
Number of pages9
JournalMedical Image Analysis
Volume12
Issue number5
DOIs
StatePublished - Oct 2008

Fingerprint

Diagnostic Imaging
Ultrasonics
Imaging techniques
Workflow
Liver
Ultrasonography
Physicians
Ultrasonic imaging
Kidney
Fusion reactions

Keywords

  • CT
  • Fusion
  • Image-guided Intervention
  • Registration
  • Ultrasound

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Medicine (miscellaneous)
  • Radiology Nuclear Medicine and imaging

Cite this

Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention. / Wein, Wolfgang; Brunke, Shelby; Khamene, Ali; Callstrom, Matthew R; Navab, Nassir.

In: Medical Image Analysis, Vol. 12, No. 5, 10.2008, p. 577-585.

Research output: Contribution to journalArticle

Wein, Wolfgang ; Brunke, Shelby ; Khamene, Ali ; Callstrom, Matthew R ; Navab, Nassir. / Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention. In: Medical Image Analysis. 2008 ; Vol. 12, No. 5. pp. 577-585.
@article{2f37450163414706ac3e91088e165b18,
title = "Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention",
abstract = "The fusion of tracked ultrasound with CT has benefits for a variety of clinical applications, however extensive manual effort is usually required for correct registration. We developed new methods that allow one to simulate medical ultrasound from CT in real-time, reproducing the majority of ultrasonic imaging effects. They are combined with a robust similarity measure that assesses the correlation of a combination of signals extracted from CT with ultrasound, without knowing the influence of each signal. This serves as the foundation of a fully automatic registration, that aligns a 3D ultrasound sweep with the corresponding tomographic modality using a rigid or an affine transformation model, without any manual interaction. These techniques were evaluated in a study involving 25 patients with indeterminate lesions in liver and kidney. The clinical setup, acquisition and registration workflow is described, along with the evaluation of the registration accuracy with respect to physician-defined Ground Truth. Our new algorithm correctly registers without any manual interaction in 76{\%} of the cases, the average RMS TRE over multiple target lesions throughout the liver is 8.1 mm.",
keywords = "CT, Fusion, Image-guided Intervention, Registration, Ultrasound",
author = "Wolfgang Wein and Shelby Brunke and Ali Khamene and Callstrom, {Matthew R} and Nassir Navab",
year = "2008",
month = "10",
doi = "10.1016/j.media.2008.06.006",
language = "English (US)",
volume = "12",
pages = "577--585",
journal = "Medical Image Analysis",
issn = "1361-8415",
publisher = "Elsevier",
number = "5",

}

TY - JOUR

T1 - Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention

AU - Wein, Wolfgang

AU - Brunke, Shelby

AU - Khamene, Ali

AU - Callstrom, Matthew R

AU - Navab, Nassir

PY - 2008/10

Y1 - 2008/10

N2 - The fusion of tracked ultrasound with CT has benefits for a variety of clinical applications, however extensive manual effort is usually required for correct registration. We developed new methods that allow one to simulate medical ultrasound from CT in real-time, reproducing the majority of ultrasonic imaging effects. They are combined with a robust similarity measure that assesses the correlation of a combination of signals extracted from CT with ultrasound, without knowing the influence of each signal. This serves as the foundation of a fully automatic registration, that aligns a 3D ultrasound sweep with the corresponding tomographic modality using a rigid or an affine transformation model, without any manual interaction. These techniques were evaluated in a study involving 25 patients with indeterminate lesions in liver and kidney. The clinical setup, acquisition and registration workflow is described, along with the evaluation of the registration accuracy with respect to physician-defined Ground Truth. Our new algorithm correctly registers without any manual interaction in 76% of the cases, the average RMS TRE over multiple target lesions throughout the liver is 8.1 mm.

AB - The fusion of tracked ultrasound with CT has benefits for a variety of clinical applications, however extensive manual effort is usually required for correct registration. We developed new methods that allow one to simulate medical ultrasound from CT in real-time, reproducing the majority of ultrasonic imaging effects. They are combined with a robust similarity measure that assesses the correlation of a combination of signals extracted from CT with ultrasound, without knowing the influence of each signal. This serves as the foundation of a fully automatic registration, that aligns a 3D ultrasound sweep with the corresponding tomographic modality using a rigid or an affine transformation model, without any manual interaction. These techniques were evaluated in a study involving 25 patients with indeterminate lesions in liver and kidney. The clinical setup, acquisition and registration workflow is described, along with the evaluation of the registration accuracy with respect to physician-defined Ground Truth. Our new algorithm correctly registers without any manual interaction in 76% of the cases, the average RMS TRE over multiple target lesions throughout the liver is 8.1 mm.

KW - CT

KW - Fusion

KW - Image-guided Intervention

KW - Registration

KW - Ultrasound

UR - http://www.scopus.com/inward/record.url?scp=48749100397&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=48749100397&partnerID=8YFLogxK

U2 - 10.1016/j.media.2008.06.006

DO - 10.1016/j.media.2008.06.006

M3 - Article

VL - 12

SP - 577

EP - 585

JO - Medical Image Analysis

JF - Medical Image Analysis

SN - 1361-8415

IS - 5

ER -