An optical 3D digitizer for frameless stereotactic surgery

Tebo, Scot A.; Leopold, Donald A.; Long, Don M.; Zinreich, S. James; Kennedy, David W.

doi:10.1109/38.481603

Cited by 33 publications

(16 citation statements)

References 10 publications

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“…Although the target volume may be similar to the real anatomical target volume, a substantial difference is seen in the registration process. Anthropomorphic skull phantoms correctly represent the bone anatomy but it is very difficult to correctly simulate soft tissues (14,30,48,53,57,58). Registration with adhesive registration markers is not influenced by possible skin shift and is more comparable to skull-implanted markers than to skin markers (6).…”

Section: Discussionmentioning

confidence: 98%

See 1 more Smart Citation

Target registration and target positioning errors in computer‐assisted neurosurgery: proposal for a standardized reporting of error assessment

Widmann

Stoffner

Sieb

et al. 2009

Robotics Computer Surgery

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Section: Discussionmentioning

confidence: 98%

“…For the registration, most studies used self-adhesive fiducial markers or bone screws which were mounted on the surface of the phantom (14,17,30,53,57).…”

Section: Registration In Anthropomorphic Phantomsmentioning

confidence: 99%

Target registration and target positioning errors in computer‐assisted neurosurgery: proposal for a standardized reporting of error assessment

Widmann

Stoffner

Sieb

et al. 2009

Robotics Computer Surgery

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“…Less invasive techniques using markers attached to the skin have also been reported [37], but they tend to offer less accurate image registration because skin can move. More recently, there have also been efforts toward developing systems based on optical tracking methods that will allow frameless stereotaxy [38]. Despite these advances, these methods are fundamentally limited to providing only rigid alignment between a pair of images.…”

Section: Image Registration Using Extrinsic Informationmentioning

confidence: 99%

High-Performance 3D Image Processing Architectures for Image-Guided Interventions

Dandekar¹

2008

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Minimally invasive image-guided interventions (IGIs) are time and cost efficient, minimize unintended damage to healthy tissues, and lead to faster patient recovery. Advanced three-dimensional (3D) image processing is a critical need for navigation during IGIs. However, achieving on-demand performance, as required by IGIs, for these image processing operations using software-only implementations is challenging because of the sheer size of the 3D images, and memory and compute intensive nature of the operations. This dissertation, therefore, is geared toward developing high-performance 3D image processing architectures, which will enable improved intraprocedural visualization and navigation capabilities during IGIs.In this dissertation we present an architecture for real-time implementation of 3D filtering operations that are commonly employed for preprocessing of medical images. This architecture is approximately two orders of magnitude faster than corresponding software implementations and is capable of processing 3D medical images at their acquisition speeds. Report Documentation PageCombining complementary information through registration between pre-and intraprocedural images is a fundamental need in the IGI workflow. Intensity-based deformable registration, which is completely automatic and locally accurate, is a promising approach to achieve this alignment. These algorithms, however, are extremely compute intensive, which has prevented their clinical use. We present an FPGA-based architecture for accelerated implementation of intensity-based deformable image registration. This high-performance architecture achieves over an order of magnitude speedup when compared with a corresponding software implementation and reduces the execution time of deformable registration from hours to minutes while offering comparable image registration accuracy.Furthermore, we present a framework for multiobjective optimization of finite-precision implementations of signal processing algorithms that takes into account multiple conflicting objectives such as implementation accuracy and hardware resource consumption. The evaluation that we have performed in the context of FPGA-based image registration demonstrates that such an analysis can be used to enhance automated hardware design processes, and efficiently identify a system configuration that meets given design constraints. In addition, we also outline two novel clinical applications that can directly benefit from these developments and demonstrate the feasibility of our approach in the context of these applications. These advances will ultimately enable integration of 3D image processing into clinical workflow.

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“…The tracking systems used for our laboratory investigations are a widely used OTS (Flashpoint 5000, Image Guided Technologies Inc., Boulder, USA) with a spatial accuracy of 0.3 -1.5 mm [2,3] and a DC driven EMTS (Flock of Birds, Ascension Technologies Inc, Colchester, USA). According to the specifications the nominal accuracy of the EMTS in an environment containing no ferromagnetic materials is given as 1.8 ram/0.5 ~ , and the spatial resolution is 0.5 ram/0.2 ~ For data acquisition and implementation of the algorithms an IBM-PC running DOS 6.21 and Borland C + + 5.0 was used.…”

Section: M a T E R I A L S A N D M E T H O D S 21 Hardwarementioning

confidence: 99%

“…While optical [2,3,4] and mechanical systems provide reliable position data, neither of these approaches can be considered perfect. Optical tracking systems (OTS) can be obstructed; the optical contact between patient and camera can break and cause a complete failure of the navigation device.…”

Section: Introductionmentioning

confidence: 99%

Concepts and results in the development of a hybrid tracking system for CAS

Birkfellner

Watzinger

Wanschitz

et al. 1998

Medical Image Computing and Computer-Assisted Intervention — MICCAI’98

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Abstract. We present the design and the results achieved in the development of a hybrid magneto-optic tracking system suitable for computer aided surgery. Our approach towards a reliable and accurate hybrid position sensor system that is not entirely dependent on an unobstructed line-of-sight between sensor assembly and patient is the combined use of an optical tracker with a direct current (DC) pulsed electromagnetic tracking system (EMTS). The proposed hybridization method aims at providing both accurate and uninterrupted position data by overcoming the drawbacks of both tracking technologies. Results presented include the preliminary assessment of algorithms for fusion of position data from both sensor systems, for calibrating the EMTS to the environment and for detecting systematic distortions in the DC tracking system caused by ferromagnetic materials in order to improve the reliability of the proposed system.

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An optical 3D digitizer for frameless stereotactic surgery

Cited by 33 publications

References 10 publications

Target registration and target positioning errors in computer‐assisted neurosurgery: proposal for a standardized reporting of error assessment

Target registration and target positioning errors in computer‐assisted neurosurgery: proposal for a standardized reporting of error assessment

High-Performance 3D Image Processing Architectures for Image-Guided Interventions

Concepts and results in the development of a hybrid tracking system for CAS

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