Tomographic Reconstruction for Truncated Cone Beam Data Using Prior CT Information

Ramamurthi, K.; Prince, Jerry L.

doi:10.1007/978-3-540-39903-2_17

Cited by 7 publications

(7 citation statements)

References 9 publications

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“…The reconstruction from 2D projections was done using a filtered backprojection technique that was used in [14]. However in this case, we compensate only for missing views, and Fig.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Atlas-Assisted Tomography: Registration of a Deformable Atlas to Compensate for Limited-Angle Cone-Beam Trajectory

Sadowsky

Ramamurthi

Ellingsen

et al.

3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.

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We present a method to improve the quality of cone-beam tomographic images computed from an intra-operative C-arm scan by adding information from an anatomical atlas. Limited range of C-arm view angles leads to reconstruction artifacts and poor anatomical detail. We propose to complete the missing views with simulated projections of a statistical anatomical model, which is deformably registered to match the data in the C-arm images. This paper presents the methods used to create the atlas and to register it with x-ray images. We compare the results of seven leave-one-out simulated hybrid reconstruction tests on a population of 13 subjects, with "ground-truth" CT, a classical short-scan, and a partial-scan reconstruction.

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“…The reconstruction from 2D projections was done using a filtered backprojection technique that was used in [14]. However in this case, we compensate only for missing views, and Fig.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Atlas-Assisted Tomography: Registration of a Deformable Atlas to Compensate for Limited-Angle Cone-Beam Trajectory

Sadowsky

Ramamurthi

Ellingsen

et al.

3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.

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“…Truncation is still not admissible in this method however. An extension of this method to cone-beam tomography was proposed in [9,10]. An important breakthrough in handling data truncation in fan-beam tomography was presented in [11] by introducing the idea of a virtual fan-beam re-binning technique.…”

Section: Recent Developmentsmentioning

confidence: 99%

Fully Truncated Cone-Beam Reconstruction on Pi Lines Using Prior CT

Ramamurthi

Strobel

Fahrig

et al. 2005

Lecture Notes in Computer Science

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Abstract. C-arms are well suited for obtaining cone-beam projections intra-operatively. Due to the compact size of the detector used, the data are usually truncated within the field of view. As a result, direct application of a standard cone-beam reconstruction algorithm gives rise to undesirable artifacts and incorrect values in the reconstructed image volume. When prior information such as a pre-operative CT scan is available, fully truncated cone-beam projections can be used to recover the change within a small region of interest without such artifacts. A method for integrating prior CT is developed using the concept of pi-lines and tested on real flat-panel and simulated cone-beam data.

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“…Our approach is based on a similar idea as discussed in Ref. [4] but focuses on 3D ROI imaging and addresses the practical issues of implementation.…”

Section: Introductionmentioning

confidence: 99%