Algorithms for limited-view computed tomography: an annotated bibliography and a challenge

Conference · Sun Dec 01 00:00:00 EST 1985 · Appl. Opt.; (United States)

OSTI ID:6939216

Rangayyan, R; Dhawan, A P; Gordon, R

In many applications of computed tomography, it may not be possible to acquire projection data at all angles, as required by the most commonly used algorithm of convolution backprojection. In such a limited-data situation, we face an ill-posed problem in attempting to reconstruct an image from an incomplete set of projections. Many techniques have been proposed to tackle this situation, employing diverse theories such as signal recovery, image restoration, constrained deconvolution, and constrained optimization, as well as novel schemes such as iterative object-dependent algorithms incorporating a priori knowledge and use of multispectral radiation. The authors present an overview of such techniques and offer a challenge to all readers to reconstruct images from a set of limited-view data provided here.

• Research Organization: Univ. of Calgary
• OSTI ID: 6939216
• Journal Information: Appl. Opt.; (United States), Vol. 24:23; Conference: Industrial applications of computed tomography and NMR imaging, Hecla Island, Manitoba, Canada, 13-14 Aug 1984
• Country of Publication: United States
• Language: English

Related Subjects

62 RADIOLOGY AND NUCLEAR MEDICINE
COMPUTERIZED TOMOGRAPHY
ALGORITHMS
BIBLIOGRAPHIES
FOURIER TRANSFORMATION
IMAGE PROCESSING
IMAGES
X RADIATION
DIAGNOSTIC TECHNIQUES
DOCUMENT TYPES
ELECTROMAGNETIC RADIATION
INTEGRAL TRANSFORMATIONS
IONIZING RADIATIONS
MATHEMATICAL LOGIC
PROCESSING
RADIATIONS
TOMOGRAPHY
TRANSFORMATIONS
550602* - Medicine- External Radiation in Diagnostics- (1980-)