Aperture weighted cardiac reconstruction for cone-beam CT

Multi-row detectors together with fast rotating gantries made cardiac imaging possible for CT. Due to the cardiac motion, ECG gating has to be integrated into the reconstruction of the data measured on a low pitch helical trajectory. Since the first multi-row scanners were introduced, it has been shown that approximative true cone-beam reconstruction methods are most suitable for the task of retrospectively gated cardiac volume CT. In this paper, we present the aperture weighted cardiac reconstruction (AWCR), which is a three-dimensional reconstruction algorithm of the filtered back-projection type. It is capable of handling all illumination intervals of an object point, which occur as a consequence of a low pitch helical cone-beam acquisition. Therefore, this method is able to use as much redundant data as possible, resulting in an improvement of the image homogeneity, the signal to noise ratio and the temporal resolution. Different optimization techniques like the heart rate adaptive cardiac weighting or the automatic phase determination can be adopted to AWCR. The excellent image quality achieved by AWCR is presented for medical datasets acquired with both a 40-slice and a 64-slice cone-beam CT scanner.

[1]  K. Stierstorfer,et al.  Weighted FBP--a simple approximate 3D FBP algorithm for multislice spiral CT with good dose usage for arbitrary pitch. , 2004, Physics in medicine and biology.

[2]  P. Koken,et al.  Aperture weighted cardiac cone-beam reconstruction using retrospective ECG gating , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).

[3]  Willi A Kalender,et al.  Extended parallel backprojection for standard three-dimensional and phase-correlated four-dimensional axial and spiral cone-beam CT with arbitrary pitch, arbitrary cone-angle, and 100% dose usage. , 2004, Medical physics.

[4]  R. Proksa,et al.  A quasiexact reconstruction algorithm for helical CT using a 3-Pi acquisition. , 2003, Medical physics.

[5]  T Nielsen,et al.  Automatic phase determination for retrospectively gated cardiac CT. , 2004, Medical physics.

[6]  K Stierstorfer,et al.  Performance evaluation of a 64-slice CT system with z-flying focal spot. , 2004, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[7]  Konstantin Nikolaou,et al.  Advances in cardiac CT imaging: 64-slice scanner , 2004, The International Journal of Cardiovascular Imaging.

[8]  Dominic J. Heuscher,et al.  Evaluation of helical cone-beam CT reconstruction algorithms , 2002, 2002 IEEE Nuclear Science Symposium Conference Record.

[9]  Thomas Köhler,et al.  EnPiT: filtered back-projection algorithm for helical CT using an n-Pi acquisition , 2005, IEEE Transactions on Medical Imaging.

[10]  M Grass,et al.  Helical cardiac cone beam CT reconstruction with large area detectors: a simulation study , 2005, Physics in medicine and biology.

[11]  A. Katsevich On two versions of a 3π algorithm for spiral CT , 2004 .

[12]  J Simon,et al.  Image reconstruction and performance evaluation for ECG-gated spiral scanning with a 16-slice CT system. , 2003, Medical physics.

[13]  Marc Kachelrieß,et al.  Advanced single-slice rebinning in cone-beam spiral CT. , 2000 .

[14]  Marc Kachelriess,et al.  Single-slice reconstruction in spiral cone-beam computed tomography , 2000, IEEE Trans. Medical Imaging.

[15]  Heshui Shi,et al.  Noninvasive Coronary Angiography With Multislice Computed Tomography , 2005 .

[16]  T Nielsen,et al.  Adaptive temporal resolution optimization in helical cardiac cone beam CT reconstruction. , 2003, Medical physics.

[17]  Michael Grass,et al.  The n-PI-method for helical cone-beam CT , 2000, IEEE Transactions on Medical Imaging.

[18]  K Taguchi,et al.  High temporal resolution for multislice helical computed tomography. , 2000, Medical physics.

[19]  A. Katsevich,et al.  Exact filtered backprojection reconstruction for dynamic pitch helical cone beam computed tomography. , 2004, Physics in medicine and biology.

[20]  T Nielsen,et al.  Helical cardiac cone beam reconstruction using retrospective ECG gating. , 2003, Physics in medicine and biology.

[21]  Michael Grass,et al.  Cardiac image reconstruction on a 16-slice CT scanner using a retrospectively ECG-gated multicycle 3D back-projection algorithm , 2003, SPIE Medical Imaging.

[22]  Michael Grass,et al.  Automatic determination of minimal cardiac motion phases for computed tomography imaging: initial experience , 2006, European Radiology.

[23]  Willi A Kalender,et al.  Kymogram detection and kymogram-correlated image reconstruction from subsecond spiral computed tomography scans of the heart. , 2002, Medical physics.