Literature DB >> 18215914

Correction of computed tomography motion artifacts using pixel-specific back-projection.

C J Ritchie1, C R Crawford, J D Godwin, K F King, Y Kim.   

Abstract

Cardiac and respiratory motion can cause artifacts in computed tomography scans of the chest. The authors describe a new method for reducing these artifacts called pixel-specific back-projection (PSBP). PSBP reduces artifacts caused by in-plane motion by reconstructing each pixel in a frame of reference that moves with the in-plane motion in the volume being scanned. The motion of the frame of reference is specified by constructing maps that describe the motion of each pixel in the image at the time each projection was measured; these maps are based on measurements of the in-plane motion. PSBP has been tested in computer simulations and with volunteer data. In computer simulations, PSBP removed the structured artifacts caused by motion. In scans of two volunteers, PSBP reduced doubling and streaking in chest scans to a level that made the images clinically useful. PSBP corrections of liver scans were less satisfactory because the motion of the liver is predominantly superior-inferior (S-I). PSBP uses a unique set of motion parameters to describe the motion at each point in the chest as opposed to requiring that the motion be described by a single set of parameters. Therefore, PSBP may be more useful in correcting clinical scans than are other correction techniques previously described.

Year:  1996        PMID: 18215914     DOI: 10.1109/42.500142

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  6 in total

1.  Real-time axial motion detection and correction for single photon emission computed tomography using a linear prediction filter.

Authors:  Valiallah Saba; Saeed Setayeshi; Mohammad Ghannadi-Maragheh
Journal:  Jpn J Radiol       Date:  2011-07-24       Impact factor: 2.374

2.  Investigation of Respiratory Gating in Quantitative Myocardial SPECT.

Authors:  W P Segars; Seng Peng Mok; Benjamin M W Tsui
Journal:  IEEE Trans Nucl Sci       Date:  2009-02-01       Impact factor: 1.679

3.  A fully four-dimensional, iterative motion estimation and compensation method for cardiac CT.

Authors:  Qiulin Tang; Jochen Cammin; Somesh Srivastava; Katsuyuki Taguchi
Journal:  Med Phys       Date:  2012-07       Impact factor: 4.071

4.  An algorithm to extract three-dimensional motion by marker tracking in the kV projections from an on-board imager: four-dimensional cone-beam CT and tumor tracking implications.

Authors:  Imad Ali; Nesreen Alsbou; Terence Herman; Salahuddin Ahmad
Journal:  J Appl Clin Med Phys       Date:  2011-02-01       Impact factor: 2.102

5.  From EMI to AI: a brief history of commercial CT reconstruction algorithms.

Authors:  Patrick J La Riviere; Carl R Crawford
Journal:  J Med Imaging (Bellingham)       Date:  2021-10-06

6.  Cervical spine computed tomography motion artifact mimicking spine injury in a patient with severe head injury.

Authors:  Abiodun Idowu Okunlola; Paul Olukayode Abiola; Olakunle Fatai Babalola; Chijioke Cosmas Achebe
Journal:  Surg Neurol Int       Date:  2021-08-03
  6 in total

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