3D soft tissue imaging with a mobile C-arm

Ritter, Daniel; Orman, Jasmina; Schmidgunst, Christian; Graumann, Rainer

doi:10.1016/j.compmedimag.2006.11.003

Cited by 34 publications

(15 citation statements)

References 21 publications

(18 reference statements)

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“…The C-arm itself is driven motor-controlled in orbital direction around the isocenter. To achieve a sophisticated soft tissue contrast resolution in 3D, advanced detector technology is required [10]. Therefore, a state-of-the-art flat-panel detector (FD) with high dynamic range (PaxScan 1 Salt Lake City, UT, USA) was integrated.…”

Section: Methodsmentioning

confidence: 99%

3D C-arm as an alternative modality to CT in postmortem imaging: Technical feasibility

Pohlenz

Blessmann

Oesterhelweg

et al. 2008

Forensic Science International

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Section: Methodsmentioning

confidence: 99%

3D C-arm as an alternative modality to CT in postmortem imaging: Technical feasibility

Pohlenz

Blessmann

Oesterhelweg

et al. 2008

Forensic Science International

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“…[1][2][3][4] Implementation of CBCT on a mobile isocentric C-arm has been recently investigated for 3D intraoperative guidance. [5][6][7][8][9][10][11][12][13][14][15][16] Gantry rotation for such systems is subject to geometric nonidealities, with motion of the x-ray source and detector differing significantly from a simple circular orbit due, for example, to gravity-induced mechanical flex. 2 CBCT reconstruction algorithms that assume a circular source-detector trajectory ͑e.g., FDK filtered backprojection 17 ͒ therefore require an accurate calibration method to account for geometric nonidealities.…”

Section: Introductionmentioning

confidence: 99%

Geometric calibration of a mobile C‐arm for intraoperative cone‐beam CT

et al. 2008

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A geometric calibration method that determines a complete description of source-detector geometry was adapted to a mobile C-arm for cone-beam computed tomography ͑CBCT͒. The non-iterative calibration algorithm calculates a unique solution for the positions of the sourceand detector rotation angles ͑ , , ͒ based on projections of a phantom consisting of two plane-parallel circles of ball bearings encased in a cylindrical acrylic tube. The prototype C-arm system was based on a Siemens PowerMobil modified to provide flat-panel CBCT for image-guided interventions. The magnitude of geometric nonidealities in the source-detector orbit was measured, and the short-term ͑ϳ4 h͒ and long-term ͑ϳ6 months͒ reproducibility of the calibration was evaluated. The C-arm exhibits large geometric nonidealities due to mechanical flex, with maximum departures from the average semicircular orbit of ⌬U o = 15.8 mm and ⌬V o = 9.8 mm ͑for the piercing point͒, ⌬X and ⌬Y =6-8 mm and ⌬Z =1 mm ͑for the source and detector͒, and ⌬ ϳ 2.9°, ⌬ ϳ 1.9°, and ⌬ ϳ 0.8°͑for the detector tilt/rotation͒. Despite such significant departures from a semicircular orbit, these system parameters were found to be reproducible, and therefore correctable by geometric calibration. Short-term reproducibility was Ͻ0.16 mm ͑subpixel͒ for the piercing point coordinates, Ͻ0.25 mm for the source-detector X and Y, Ͻ0.035 mm for the source-detector Z, and Ͻ0.02°for the detector angles. Long-term reproducibility was similarly high, demonstrated by image quality and spatial resolution measurements over a period of 6 months. For example, the full-width at half-maximum ͑FWHM͒ in axial images of a thin steel wire increased slightly as a function of the time ͑⌬͒ between calibration and image acquisition: FWHM= 0.62, 0.63, 0.66, 0.71, and 0.72 mm at ⌬ = 0 s, 1 h, 1 day, 1 month, and 6 months, respectively. For ongoing clinical trials in CBCT-guided surgery at our institution, geometric calibration is conducted monthly to provide sufficient three-dimensional ͑3D͒ image quality while managing time and workflow considerations of the calibration and quality assurance process. The sensitivity of 3D image quality to each of the system parameters was investigated, as was the tolerance to systematic and random errors in the geometric parameters, showing the most sensitive parameters to be the piercing point coordinates

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“…CBCT imaging in applications such as skull-base and orthopaedic surgery [1,[15][16][17] is fairly robust against artifacts arising from involuntary patient motion, while imaging in the presence of strong motion (e.g., cardiac motion) requires advanced acquisition and reconstruction methods-e.g., retrospective gating and motion-compensated reconstruction. Volume images demonstrate sub-millimeter spatial resolution and high-quality 3D visualization of bone and soft-tissues at low radiation dose [18]. By providing 3D image updates on demand, intraoperative CBCT can improve surgical navigation in a manner that properly accounts for anatomical deformation and excised tissue, thereby extending the role of image-guided surgery systems from rigid bony anatomy to a broader spectrum of surgical interventions.…”

Section: Prototype C-arm For Cone-beam Ctmentioning

confidence: 98%

TREK: an integrated system architecture for intraoperative cone-beam CT-guided surgery

et al. 2011

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The design and development of a system architecture for image-guided surgery has been reported, demonstrating enhanced utilization of intraoperative CBCT in surgical applications with vastly different requirements. The system integrates C-arm CBCT with a broad variety of data sources in a modular fashion that streamlines the interface to application-specific tools, accommodates distinct workflow scenarios, and accelerates testing and translation of novel toolsets to clinical use. The modular architecture was shown to adapt to and satisfy the requirements of distinct surgical scenarios from a common code-base, leveraging software components arising from over a decade of effort within the imaging and computer-assisted interventions community.

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3D soft tissue imaging with a mobile C-arm

Cited by 34 publications

References 21 publications

3D C-arm as an alternative modality to CT in postmortem imaging: Technical feasibility

3D C-arm as an alternative modality to CT in postmortem imaging: Technical feasibility

Geometric calibration of a mobile C‐arm for intraoperative cone‐beam CT

TREK: an integrated system architecture for intraoperative cone-beam CT-guided surgery

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