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001-es BibID:BIBFORM015756
Első szerző:Emri Miklós (fizikus)
Cím:The importance of MRI-PET registration in clinical routine / M. Emri, G. Opposits, L. Trón, Á. Klekner, L. Novák, J. Kollár, L. Bognár, E. Berényi
Megjegyzések:Registered images produced by MRI based multi-modality image processing are essential tools of diagnostic and surgical planning of neurological and neurosurgical diseases. The aim of this study was to investigate how fused images produced by various MRI (T1, T2, fMRI, DTI, MRS) and PET (FDG, Metionine) data can be used in clinical routine. Material and methods: In our study the complex multi-modality tomographic data sets of 6 patients (3 glioblastoma, 2 oligoastrocitóma és 1 pilocitás astrocitoma) were used. For the image registration as well as the production of 2D- and 3D fused images free, commercial and in-house developed software were utilized. Result: We found that our images significantly assisted clinicians in preparing therapeutic and surgical plans. Optimizing the established software and automatizing image registration tasks needs further development.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idézhető absztrakt
Megjelenés:Nuclear Medicine Review. - 10 : 1 (2007), p. 59. -
További szerzők:Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Trón Lajos (1941-) (biofizikus) Klekner Álmos (1970-) (idegsebész) Novák László (1964-) (idegsebész) Kollár József (1950-) (radiológus) Bognár László (1958-) (idegsebész, gyermekidegsebész) Berényi Ervin (1964-) (radiológus)
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001-es BibID:BIBFORM061713
Első szerző:Opposits Gábor (fizikus, szoftver fejlesztő)
Cím:Population based ranking of frameless CT-MRI registration methods / G. Opposits, S. A. Kis, L. Trón, E. Berényi, E. Takács, J. G. Dobai, L. Bognár, B. Szűcs, M. Emri
Megjegyzések:Background: Clinical practice often requires simultaneous information obtained by two different imaging modalities. Registration algorithms are commonly used for this purpose. Automated procedures are very helpful in cases when the same kind of registration has to be performed on images of a high number of subjects. Radiotherapists would prefer to use the best automated method to assist therapy planning, however there are not accepted procedures for ranking the different registration algorithms. Purpose: We were interested in developing a method to measure the population level performance of CT-MRI registration algorithms by a parameter of values in the [0,1] interval. Materials and Methods: Pairs of CT and MRI images were collected from 1051 subjects. Results of an automated registration were corrected manually until a radiologist and a neurosurgeon expert both accepted the result as good. This way 1051 registered MRI images were produced by the same pair of experts to be used as gold standards for the evaluation of the performance of other registration algorithms. Pearson correlation coefficient, mutual information, normalized mutual information, KullbackLeibler divergence, L1 norm and square L2 norm (dis)similarity measures were tested for sensitivity to indicate the extent of (dis)similarity of a pair of individual mismatched images. Results: The square Hellinger distance proved suitable to grade the performance of registration algorithms at population level providing the developers with a valuable tool to rank algorithms. Conclusions: The developed procedure provides an objective method to find the registration algorithm performing the best on the population level out of newly constructed or available preselected ones.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
medical image registration
computer applications-general
Megjelenés:Zeitschrift für Medizinische Physik 25 : 4 (2015), p. 353-367. -
További szerzők:Kis Sándor Attila (1973-) (fizikus) Trón Lajos (1941-) (biofizikus) Berényi Ervin (1964-) (radiológus) Takács Endre (1965-) (fizikus) Dobai József (1969-) (idegsebész) Bognár László (1958-) (idegsebész, gyermekidegsebész) Szűcs Bernadett Emri Miklós (1962-) (fizikus)
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