Three-dimensional registration and fusion of ultrasound and MRI using major vessels as fiducial markers

Porter, Brian; Rubens, Deborah J.; Strang, John; Smith, Jean S.; Tötterman, S.; Parker, Kevin J.

doi:10.1109/42.921484

Cited by 100 publications

(61 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This approach has already been investigated by a number of different groups for several different purposes. Porter et al (2001) rigidly registered MRI with B-mode and color Doppler ultrasound volumes based on segmented blood vessels from the forearm, the liver and a prostate phantom. The skin surface, bone and internal landmarks were used to evaluate the registration error which ranged from 2 to 8 mm.…”

Section: Vessel Based Registrationmentioning

confidence: 99%

Validation of vessel-based registration for correction of brain shift

Reinertsen

Descoteaux

Siddiqi

et al. 2007

Medical Image Analysis

View full text Add to dashboard Cite

The displacement and deformation of brain tissue is a major source of error in image-guided neurosurgery systems. We have designed and implemented a method to detect and correct brain shift using pre-operative MR images and intraoperative Doppler ultrasound data and present its validation with both real and simulated data. The algorithm uses segmented vessels from both modalities, and estimates the deformation using a modified version of the iterative closest point (ICP) algorithm. We use the least trimmed squares (LTS) to reduce the number of outliers in the point matching procedure. These points are used to drive a thin-plate spline transform to achieve non-linear registration. Validation was completed in two parts. First, the technique was tested and validated using realistic simulations where the results were compared to the known deformation. The registration technique recovered 75% of the deformation in the region of interest accounting for deformations as large as 20 mm. Second, we performed a PVA-cryogel phantom study where both MR and ultrasound images of the phantom were obtained for three different deformations. The registration results based on MR data were used as a gold standard to evaluate the performance of the ultrasound based registration. On average, deformations of 7.5 mm magnitude were corrected to within 1.6 mm for the ultrasound based registration and 1.07 mm for the MR based registration.

show abstract

Section: Vessel Based Registrationmentioning

confidence: 99%

Validation of vessel-based registration for correction of brain shift

Reinertsen

Descoteaux

Siddiqi

et al. 2007

Medical Image Analysis

View full text Add to dashboard Cite

show abstract

“…Due to the very different characteristics of ultrasound imaging with respect to CT / MRT, a lot of research has been carried out on using features extracted from the ultrasound images, in order to align them with corresponding structures in other modalities. Possible anatomical features comprise vessels [3,4], bone surfaces [5], organ surfaces [6]. Pure intensity-based registration has been performed mainly for 3D ultrasonic data.…”

Section: Introductionmentioning

confidence: 99%

Automatic Registration and Fusion of Ultrasound with CT for Radiotherapy

Wein

Röper

Navab

2005

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. We present a framework for rigid registration of a set of B-mode ultrasound images to a CT scan in the context of Radiotherapy planning. Our main focus is on deriving an appropriate similarity measure based on the physical properties and artifacts of ultrasound. A combination of a weighted Mutual Information term, edge correlation, clamping to the skin surface and occlusion detection is able to assess the alignment of structures in ultrasound images and simulated slices generated from the CT data. Hence a set of ultrasound images, whose relative transformations are given by a magnetic tracking device, can be registered automatically to the CT scan. We validated our methods on neck data of patients with head and neck tumors and cervical lymph node metastases.

show abstract

“…Liver vessels are features which can be easily identified in CT/MR and ultrasound data, in particular in Powerdoppler ultrasound. A feature-based rigid approach using correlation between segmented vessel voxels is reported in [15]. In [16] manually identified vessel center lines are rigidly registered via the Iterative Closest Point (ICP) algorithm.…”

Section: Introductionmentioning

confidence: 99%

Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery

Lange

Eulenstein

Hünerbein

et al. 2004

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

View full text Add to dashboard Cite

Abstract.Organ deformation between preoperative image data and the patient in the OR is the main obstacle for using surgical navigation systems in liver surgery. Our approach is to provide accurate navigation via intraoperative 3D ultrasound. These ultrasound data are augmented with preoperative anatomical models and planning data as an important additional orientation aid for the surgeon. We present an overview of the whole ultrasound navigation system as well as an approach for fast intraoperative non-rigid registration of the preoperative models to the ultrasound volume. The registration method is based on the vessel center lines and consists of a combination of the Iterative Closest Point algorithm and multilevel B-Splines. Quantitative results for three different patients are presented.

show abstract

Three-dimensional registration and fusion of ultrasound and MRI using major vessels as fiducial markers

Cited by 100 publications

References 4 publications

Validation of vessel-based registration for correction of brain shift

Validation of vessel-based registration for correction of brain shift

Automatic Registration and Fusion of Ultrasound with CT for Radiotherapy

Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery

Contact Info

Product

Resources

About