title: Dynamic detector offsets for field of view extension in C-arm computed tomography with application to weight-bearing imaging.
abstract: OBJECTIVE
  In C-arm computed tomography (CT), the field of view (FOV) is often not sufficient to acquire certain anatomical structures, e.g., a full hip or thorax. Proposed methods to extend the FOV use a fixed detector displacement and a 360° scan range to double the radius of the FOV. These trajectories are designed for circular FOVs. However, there are cases in which the required FOV is not circular but rather an ellipsoid.
  
  
  METHODS
  In this work, the authors show that in fan-beam CT, the use of a dynamically adjusting detector offset can reduce the required scan range when using a noncircular FOV. Furthermore, the authors present an analytic solution to determine the minimal required scan ranges for elliptic FOVs given a certain detector size and an algorithmic approach for arbitrary FOVs.
  
  
  RESULTS
  The authors show that the proposed method can result in a substantial reduction of the required scan range. Initial reconstructions of data sets acquired with our new minimal trajectory yielded image quality comparable to reconstructions of data acquired using a fixed detector offset and a full 360° rotation.
  
  
  CONCLUSIONS
  Our results show a promising reduction of the necessary scan range especially for ellipsoidal objects that extend the FOV. In noncircular FOVs, there exists a set of solutions that allow a trade-off between detector size and scan range.
authors.affiliation: Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany.
authors.forename: Magdalena
authors.initials: M
authors.lastname: Herbst
authors.affiliation: Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany.
authors.forename: Frank
authors.initials: F
authors.lastname: Schebesch
authors.affiliation: Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Berger
authors.affiliation: Department of Radiology, Stanford University, Stanford, California 94305.
authors.forename: Jang-Hwan
authors.initials: JH
authors.lastname: Choi
authors.affiliation: Department of Radiology, Stanford University, Stanford, California 94305.
authors.forename: Rebecca
authors.initials: R
authors.lastname: Fahrig
authors.affiliation: Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany Erlangen Graduate School in Advanced Optical Technologies (SAOT), Erlangen 91058, Germany.
authors.forename: Joachim
authors.initials: J
authors.lastname: Hornegger
authors.affiliation: Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany Erlangen Graduate School in Advanced Optical Technologies (SAOT), Erlangen 91058, Germany.
authors.forename: Andreas
authors.initials: A
authors.lastname: Maier
mesh_terms: D000465:Algorithms; D006801:Humans; D007717:Knee / Q000000981:diagnostic imaging* / Q000502:physiology; D014057:Tomography, X-Ray Computed / Q000295:instrumentation* / Q000379:methods*; D016474:Weight-Bearing