Local and Non-local Regularization Techniques in Emission (PET/SPECT) Tomographic Image Reconstruction Methods.
Emission tomographic image reconstruction is an ill-posed problem due to limited and noisy data and various image-degrading effects affecting the data and leads to noisy reconstructions. Explicit regularization, through iterative reconstruction methods, is considered better to compensate for reconst...
| Publicado en: | Journal of Digital Imaging Vol. 29; no. 3; pp. 394 - 403 |
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| Autores principales: | , , , , , , , , |
| Formato: | diagnostic images equations & formulas tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115610157&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115610157 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2016 vid: 29 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115610157 115610157 115610157 10.1007/s10278-015-9853-x 115610157 ppf: 394 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Local and Non-local Regularization Techniques in Emission (PET/SPECT) Tomographic Image Reconstruction Methods. aug: au: Ahmad, Munir Shahzad, Tasawar Masood, Khalid Rashid, Khalid Tanveer, Muhammad Iqbal, Rabail Hussain, Nasir Shahid, Abubakar Fazal-e-Aleem affil: Department of Physics, The University of Lahore, Pakistan, 1-KM Raiwind Road Lahore 54000 Pakistan sug: subj: Image Processing, Computer Assisted Methods Tomography, Emission-Computed Tomography, Emission-Computed, Single-Photon Noise ab: Emission tomographic image reconstruction is an ill-posed problem due to limited and noisy data and various image-degrading effects affecting the data and leads to noisy reconstructions. Explicit regularization, through iterative reconstruction methods, is considered better to compensate for reconstruction-based noise. Local smoothing and edge-preserving regularization methods can reduce reconstruction-based noise. However, these methods produce overly smoothed images or blocky artefacts in the final image because they can only exploit local image properties. Recently, non-local regularization techniques have been introduced, to overcome these problems, by incorporating geometrical global continuity and connectivity present in the objective image. These techniques can overcome drawbacks of local regularization methods; however, they also have certain limitations, such as choice of the regularization function, neighbourhood size or calibration of several empirical parameters involved. This work compares different local and non-local regularization techniques used in emission tomographic imaging in general and emission computed tomography in specific for improved quality of the resultant images. pubtype: Academic Journal doctype: diagnostic images equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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