Influence of imaging source and panel position uncertainties on the accuracy of 2D/3D image registration of cranial images

Warmerdam, G.J.J.; Steininger, Philipp; Neuner, Markus; Sharp, G; Winey, B.

doi:10.1118/1.4742866

Cited by 5 publications

(12 citation statements)

References 36 publications

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“…Image‐guided radiotherapy (IGRT) has been subject to extensive research over the last years. One of the major research topics in this field has been the geometric accuracy of the involved imaging systems . In order to achieve the overall goal of irradiation efficiency, including a reduction of safety margins and protection of healthy tissue and organs at risk, kilo‐voltage (kV) x‐ray imaging systems have been incorporated into the treatment systems .…”

Section: Introductionmentioning

confidence: 99%

“…One of the major research topics in this field has been the geometric accuracy of the involved imaging systems . In order to achieve the overall goal of irradiation efficiency, including a reduction of safety margins and protection of healthy tissue and organs at risk, kilo‐voltage (kV) x‐ray imaging systems have been incorporated into the treatment systems . The ImagingRing, a couch‐mounted cone‐beam computed tomography (CBCT) imaging device with independently rotatable kV x‐ray source and flat‐panel detector arms, has recently been developed by medPhoton GmbH which is a spin‐off company of the Paracelsus Medical University.…”

Section: Introductionmentioning

confidence: 99%

“…Using geometrically uncalibrated projections as input for CBCT reconstruction algorithms, the overall image quality of the volumetric reconstruction is considerably reduced showing double‐contour artifacts, loss of detail, and blurring . Additionally, patient positioning utilizing a moving couch system in combination with 2D/3D and/or 3D/3D registration algorithms for patient setup correction is influenced by geometric uncertainties . The major cause for encountered discrepancies are systematic offsets introduced by calibration inaccuracies, which translate directly into wrong positioning and orientation of acquired images.…”

Section: Introductionmentioning

confidence: 99%

“…The application of a 9‐DOF translational and rotational transform of the detector plane and source focal spot versus a 2‐DOF transform has been evaluated for LINAC‐based and C‐arm imaging systems, resulting in an improvement of volumetric image contrast by more than 50% . Experiments on 9‐DOF flexmap correction for 2D/3D registration of cranial images have shown considerable impact on registration accuracy for at least five of the chosen parameters. Assuming a mechanically stable center of rotation and minor out‐of‐plane rotations of the detector, it has been reported that correcting for as few as five out of nine DOF may lead to acceptable volumetric reconstructions .…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4][5][6][7][8][9][10] In order to achieve the overall goal of irradiation efficiency, including a reduction of safety margins and protection of healthy tissue and organs at risk, kilo-voltage (kV) x-ray imaging systems have been incorporated into the treatment systems. 1,3,4,7 The ImagingRing, a couch-mounted cone-beam computed tomography (CBCT) imaging device with independently rotatable kV x-ray source and flat-panel detector arms, has recently been developed by medPhoton GmbH which is a spin-off company of the Paracelsus Medical University. The system has been installed first at the Austrian proton and carbon ion particle therapy center MedAustron (Wiener Neustadt).…”

Section: Introductionmentioning

confidence: 99%

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Nine‐degrees‐of‐freedom flexmap for a cone‐beam computed tomography imaging device with independently movable source and detector

Keuschnigg

Kellner

Fritscher³

et al. 2017

Medical Physics

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Using a 9-DOF flexmap approach for correcting the geometry of projections acquired with a device capable of independent movements of the source and panel arms has been shown to be essential for IGRT use cases such as CBCT reconstruction and 2D/3D registration tasks. The proposed pipeline is able to create flexmap curves which are easy to interpret, useful for mechanical description of the device and repetitive quality assurance as well as system-level preventive maintenance. Application of the flexmap has shown improvements of image quality for planar imaging and volumetric imaging which is crucial for patient alignment accuracy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Nine‐degrees‐of‐freedom flexmap for a cone‐beam computed tomography imaging device with independently movable source and detector

Keuschnigg

Kellner

Fritscher³

et al. 2017

Medical Physics

Self Cite

View full text Add to dashboard Cite

show abstract

Development and first use of a novel cylindrical ball bearing phantom for 9-DOF geometric calibrations of flat panel imaging devices used in image-guided ion beam therapy

et al. 2016

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Image guidance during highly conformal radiotherapy requires accurate geometric calibration of the moving components of the imager. Due to limited manufacturing accuracy and gravity-induced flex, an x-ray imager's deviation from the nominal geometrical definition has to be corrected for. For this purpose a ball bearing phantom applicable for nine degrees of freedom (9-DOF) calibration of a novel cone-beam computed tomography (CBCT) scanner was designed and validated. In order to ensure accurate automated marker detection, as many uniformly distributed markers as possible should be used with a minimum projected inter-marker distance of 10 mm. Three different marker distributions on the phantom cylinder surface were simulated. First, a fixed number of markers are selected and their coordinates are randomly generated. Second, the quasi-random method is represented by setting a constraint on the marker distances in the projections. The third approach generates the ball coordinates helically based on the Golden ratio, ϕ. Projection images of the phantom incorporating the CBCT scanner's geometry were simulated and analysed with respect to uniform distribution and intra-marker distance. Based on the evaluations a phantom prototype was manufactured and validated by a series of flexmap calibration measurements and analyses. The simulation with randomly distributed markers as well as the quasi-random approach showed an insufficient uniformity of the distribution over the detector area. The best compromise between uniform distribution and a high packing fraction of balls is provided by the Golden section approach. A prototype was manufactured accordingly. The phantom was validated for 9-DOF geometric calibrations of the CBCT scanner with independently moveable source and detector arms. A novel flexmap calibration phantom intended for 9-DOF was developed. The ball bearing distribution based on the Golden section was found to be highly advantageous. The phantom showed satisfying results for calibrations of the CBCT scanner and provides the basis for further flexmap correction and reconstruction developments.

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Monoplane 3D–2D registration of cerebral angiograms based on multi-objective stratified optimization

et al. 2017

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Registration of 3D pre-interventional to 2D intra-interventional medical images has an increasingly important role in surgical planning, navigation and treatment, because it enables the physician to co-locate depth information given by pre-interventional 3D images with the live information in intra-interventional 2D images such as x-ray. Most tasks during image-guided interventions are carried out under a monoplane x-ray, which is a highly ill-posed problem for state-of-the-art 3D to 2D registration methods. To address the problem of rigid 3D-2D monoplane registration we propose a novel multi-objective stratified parameter optimization, wherein a small set of high-magnitude intensity gradients are matched between the 3D and 2D images. The stratified parameter optimization matches rotation templates to depth templates, first sampled from projected 3D gradients and second from the 2D image gradients, so as to recover 3D rigid-body rotations and out-of-plane translation. The objective for matching was the gradient magnitude correlation coefficient, which is invariant to in-plane translation. The in-plane translations are then found by locating the maximum of the gradient phase correlation between the best matching pair of rotation and depth templates. On twenty pairs of 3D and 2D images of ten patients undergoing cerebral endovascular image-guided intervention the 3D to monoplane 2D registration experiments were setup with a rather high range of initial mean target registration error from 0 to 100 mm. The proposed method effectively reduced the registration error to below 2 mm, which was further refined by a fast iterative method and resulted in a high final registration accuracy (0.40 mm) and high success rate ([Formula: see text]96%). Taking into account a fast execution time below 10 s, the observed performance of the proposed method shows a high potential for application into clinical image-guidance systems.

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Influence of imaging source and panel position uncertainties on the accuracy of 2D/3D image registration of cranial images

Cited by 5 publications

References 36 publications

Nine‐degrees‐of‐freedom flexmap for a cone‐beam computed tomography imaging device with independently movable source and detector

Nine‐degrees‐of‐freedom flexmap for a cone‐beam computed tomography imaging device with independently movable source and detector

Development and first use of a novel cylindrical ball bearing phantom for 9-DOF geometric calibrations of flat panel imaging devices used in image-guided ion beam therapy

Monoplane 3D–2D registration of cerebral angiograms based on multi-objective stratified optimization

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