Ultrasound and ct registration quality: Elastography vs. classical B-Mode

Keil, Matthias; Stolka, Philipp J.; Wiebel, Marion; Sakas, Georgios; McVeigh, Elliot R.; Taylor, Russell H.; Boctor, Emad M.

doi:10.1109/isbi.2009.5193215

Cited by 5 publications

(2 citation statements)

References 5 publications

(5 reference statements)

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“…Figure 2B shows an example involving fusion of a segmented preoperative model of a kidney and tumor with intraoperative stereo video for a laparoscopic partial nephrectomy procedure 7 . In other work 16,17 , we have also been investigating the fusion of preoperative CT models with intraoperative ultrasound elastography and video for the same procedure.…”

Section: Patient-specific Modelingmentioning

confidence: 99%

Medical robotics and computer-integrated interventional medicine

Taylor

2012

SPIE Proceedings

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Computer-Integrated Interventional Medicine (CIIM) promises to have a profound impact on health care in the next 20 years, much as and for many of the same reasons that the marriage of computers and information processing methods with other technology have had on manufacturing, transportation, and other sectors of our society. Our basic premise is that the steps of creating patient-specific computational models, using these models for planning, registering the models and plans with the actual patient in the operating room, and using this information with appropriate technology to assist in carrying out and monitoring the intervention are best viewed as part of a complete patient-specific intervention process that occurs over many time scales. Further, the information generated in computer-integrated interventions can be captured and analyzed statistically to improve treatment processes. This paper will explore these themes briefly, using examples drawn from our work at the Engineering Research Center for Computer-Integrated Surgical Systems and Technology (CISST ERC).

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Section: Patient-specific Modelingmentioning

confidence: 99%

Medical robotics and computer-integrated interventional medicine

Taylor

2012

SPIE Proceedings

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“…While several techniques have been proposed to improve bone clarity in ultrasound scans (Hacihaliloglu 2009;Quader 2014), there is limited work on enhancing ultrasound's field-of-view for CAOS. In particular, improving the field-of-view for surgical guidance for pelvic fracture surgeries would be needed to achieve accurate and reliable registration to preoperative data, and accurate screw placement in the pelvis (Keil 2009).…”

Section: Introductionmentioning

confidence: 99%

Trackerless 3D Ultrasound Stitching for Computer-Assisted Orthopaedic Surgery and Pelvic Fractures

Pandey¹,

Abugharbieh²,

Hodgson³

EPiC Series in Health Sciences

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In pelvic fracture surgeries, percutaneous screws must be placed accurately for effective fixation and to prevent damage to surrounding tissue structures. Fluoroscopy is currently used to image the pelvis to provide guidance, but this produces harmful ionising radiation and does not allow three-dimensional (3D) visualisation. Ultrasound offers three-dimensional, non-ionising, real-time, and inexpensive imaging. It has thus emerged as an alternative to fluoroscopy for intraoperative imaging in computer-assisted orthopaedic surgery (CAOS). However, ultrasound-based surgical guidance is challenging because ultrasound produces inherently noisy images with limited field-of-view. While several techniques have been proposed to improve bone clarity in ultrasound scans, there is limited work on enhancing ultrasound’s field-of-view for CAOS. In particular, improving the field-of-view for surgical guidance for pelvic fracture surgeries would be needed to achieve accurate and reliable registration to preoperative data, and accurate screw placement in the pelvis.We propose and evaluate the feasibility of a trackerless method for stitching volumetric ultrasound to achieve an extended field-of-view. Stitching is performed using corresponding features in the overlap between three ultrasound volumes, extracted using an implementation of the 3D scale-invariant feature transform. The volumes are processed using confidence-map weighted phase symmetry detection. Alignment between the volumes is calculated using coherent point drift rigid registration.We succeeded in extending the field-of-view of 3D ultrasound by creating a 39×43×115mm volume from three initial overlapping volumes, with reasonable overall accuracy. We show a mean post-registration surface error of 0.54mm, compared to 0.33mm achieved by previous tracking-based stitching. Our method achieved a mean distance error of 5.1%, compared to 2% in a similar tracked and 3D SIFT-based technique. Our stitching method does not use tracking, thus contributing towards simpler surgical navigation.

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