Literature DB >> 18234608

A reconstruction algorithm from truncated projections.

K Ogawa, M Nakajima, S Yuta.   

Abstract

A new tomographic reconstruction method is proposed which permits the reconstruction of a region of interest within a slice from partially truncated scanning data. This method utilizes two types of source data, namely a series of truncated projections and the outline of the object's cross section. The principle of this algorithm is to estimate the outside area of truncation in one projection from the projection data of the other viewing angles and the outline data of the object. The above estimation is accomplished by following two repeated procedures: 1) the modification of the calculated projection data compared each time with the already measured projection data of the truncated area, and 2) the modification of the reconstructed image compared also each time with the shape of the object. Computer simulation shows the convergence of the results obtained by this algorithm thus verifying its validity, and a reconstructed image after iterative processes exhibits good quality.

Year:  1984        PMID: 18234608     DOI: 10.1109/TMI.1984.4307648

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


  9 in total

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Authors:  Youtao Shen; Ying Yi; Yuncheng Zhong; Chao-Jen Lai; Xinming Liu; Zhicheng You; Shuaiping Ge; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  Image reconstruction for sparse-view CT and interior CT-introduction to compressed sensing and differentiated backprojection.

Authors:  Hiroyuki Kudo; Taizo Suzuki; Essam A Rashed
Journal:  Quant Imaging Med Surg       Date:  2013-06

3.  Feasibility of volume-of-interest (VOI) scanning technique in cone beam breast CT--a preliminary study.

Authors:  Lingyun Chen; Chris C Shaw; Mustafa C Altunbas; Chao-Jen Lai; Xinming Liu; Tao Han; Tianpeng Wang; Wei T Yang; Gary J Whitman
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Review 4.  Attenuation correction in cardiac positron emission tomography and single-photon emission computed tomography.

Authors:  S L Bacharach; I Buvat
Journal:  J Nucl Cardiol       Date:  1995 May-Jun       Impact factor: 5.952

5.  Time-resolved cardiac interventional cone-beam CT reconstruction from fully truncated projections using the prior image constrained compressed sensing (PICCS) algorithm.

Authors:  Pascal Thériault Lauzier; Jie Tang; Guang-Hong Chen
Journal:  Phys Med Biol       Date:  2012-04-05       Impact factor: 3.609

6.  A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstruction.

Authors:  Yao Lu; Heang-Ping Chan; Jun Wei; Lubomir M Hadjiiski
Journal:  Phys Med Biol       Date:  2013-01-14       Impact factor: 3.609

7.  Improving image accuracy of region-of-interest in cone-beam CT using prior image.

Authors:  Jiseoc Lee; Jin Sung Kim; Seungryong Cho
Journal:  J Appl Clin Med Phys       Date:  2014-03-06       Impact factor: 2.102

8.  Feasibility study of shutter scan acquisition for region of interest (ROI) digital tomosynthesis.

Authors:  Dohyeon Kim; Byungdu Jo; Donghoon Lee; Haenghwa Lee; Sunghoon Choi; Hyemi Kim; Zhen Chao; Seungyeon Choi; Hee-Joung Kim
Journal:  J Appl Clin Med Phys       Date:  2018-03-01       Impact factor: 2.102

Review 9.  Pushing CT and MR imaging to the molecular level for studying the "omics": current challenges and advancements.

Authors:  Hsuan-Ming Huang; Yi-Yu Shih
Journal:  Biomed Res Int       Date:  2014-03-13       Impact factor: 3.411

  9 in total

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