Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines
Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imaging modality in oncology yet that noninvasively quantifies microvascular changes in clinical routine. Although blood capillaries cannot be resolved in typical magnetic resonance imaging (MRI) measurem...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
14 April 2020
|
| In: |
NMR in biomedicine
Year: 2020, Pages: 1-17 |
| ISSN: | 1099-1492 |
| DOI: | 10.1002/nbm.4307 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/nbm.4307 Verlag, lizenzpflichtig, Volltext: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/nbm.4307 
|
| Verfasserangaben: | Artur Hahn, Julia Bode, Sarah Schuhegger, Thomas Krüwel, Volker J.F. Sturm, Ke Zhang, Johann M.E. Jende, Björn Tews, Sabine Heiland, Martin Bendszus, Michael O. Breckwoldt, Christian H. Ziener, Felix T. Kurz |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1766718817 | ||
| 003 | DE-627 | ||
| 005 | 20231002112748.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210812s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1002/nbm.4307 |2 doi | |
| 035 | |a (DE-627)1766718817 | ||
| 035 | |a (DE-599)KXP1766718817 | ||
| 035 | |a (OCoLC)1295680532 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Hahn, Artur |d 1991- |e VerfasserIn |0 (DE-588)1186280395 |0 (DE-627)1665793511 |4 aut | |
| 245 | 1 | 0 | |a Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines |c Artur Hahn, Julia Bode, Sarah Schuhegger, Thomas Krüwel, Volker J.F. Sturm, Ke Zhang, Johann M.E. Jende, Björn Tews, Sabine Heiland, Martin Bendszus, Michael O. Breckwoldt, Christian H. Ziener, Felix T. Kurz |
| 264 | 1 | |c 14 April 2020 | |
| 300 | |a 17 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 12.08.2021 | ||
| 520 | |a Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imaging modality in oncology yet that noninvasively quantifies microvascular changes in clinical routine. Although blood capillaries cannot be resolved in typical magnetic resonance imaging (MRI) measurements, their geometry and distribution influence the integral nuclear magnetic resonance (NMR) signal from each macroscopic MRI voxel. We have numerically simulated the expected transverse relaxation in NMR voxels with different dimensions based on the realistic microvasculature in healthy and tumor-bearing mouse brains (U87 and GL261 glioblastoma). The 3D capillary structure in entire, undissected brains was acquired using light sheet fluorescence microscopy to produce large datasets of the highly resolved cerebrovasculature. Using this data, we trained support vector machines to classify virtual NMR voxels with different dimensions based on the simulated spin dephasing accountable to field inhomogeneities caused by the underlying vasculature. In prediction tests with previously blinded virtual voxels from healthy brain tissue and GL261 tumors, stable classification accuracies above 95% were reached. Our results indicate that high classification accuracies can be stably attained with achievable training set sizes and that larger MRI voxels facilitated increasingly successful classifications, even with small training datasets. We were able to prove that, theoretically, the transverse relaxation process can be harnessed to learn endogenous contrasts for single voxel tissue type classifications on tailored MRI acquisitions. If translatable to experimental MRI, this may augment diagnostic imaging in oncology with automated voxel-by-voxel signal interpretation to detect vascular pathologies. | ||
| 650 | 4 | |a angiogenesis | |
| 650 | 4 | |a glioblastoma multiforme | |
| 650 | 4 | |a machine learning | |
| 650 | 4 | |a microvasculature | |
| 650 | 4 | |a signal classification | |
| 650 | 4 | |a spin dephasing | |
| 650 | 4 | |a support vector machines | |
| 650 | 4 | |a vascular pathology | |
| 700 | 1 | |a Krüwel-Bode, Julia |d 1980- |e VerfasserIn |0 (DE-588)1103049984 |0 (DE-627)86065964X |0 (DE-576)470455829 |4 aut | |
| 700 | 1 | |a Schuhegger, Sarah |e VerfasserIn |4 aut | |
| 700 | 1 | |a Krüwel, Thomas |e VerfasserIn |0 (DE-588)1210205211 |0 (DE-627)1698268025 |4 aut | |
| 700 | 1 | |a Sturm, Volker Jörg Friedrich |d 1980- |e VerfasserIn |0 (DE-588)1096228149 |0 (DE-627)856637238 |0 (DE-576)467929971 |4 aut | |
| 700 | 1 | |a Zhang, Ke |d 1984- |e VerfasserIn |0 (DE-588)142064564 |0 (DE-627)704133199 |0 (DE-576)327160438 |4 aut | |
| 700 | 1 | |a Jende, Johann |e VerfasserIn |0 (DE-588)1161484809 |0 (DE-627)1024781569 |0 (DE-576)506571025 |4 aut | |
| 700 | 1 | |a Tews, Björn |d 1976- |e VerfasserIn |0 (DE-588)105866655X |0 (DE-627)797388052 |0 (DE-576)34674234X |4 aut | |
| 700 | 1 | |a Heiland, Sabine |e VerfasserIn |0 (DE-588)106732626X |0 (DE-627)818624450 |0 (DE-576)426561368 |4 aut | |
| 700 | 1 | |a Bendszus, Martin |e VerfasserIn |0 (DE-588)1032676426 |0 (DE-627)738634131 |0 (DE-576)175567697 |4 aut | |
| 700 | 1 | |a Breckwoldt, Michael O. |d 1983- |e VerfasserIn |0 (DE-588)1022496298 |0 (DE-627)716993392 |0 (DE-576)365498297 |4 aut | |
| 700 | 1 | |a Ziener, Christian H. |d 1978- |e VerfasserIn |0 (DE-588)137982755 |0 (DE-627)59885309X |0 (DE-576)306117355 |4 aut | |
| 700 | 1 | |a Kurz, Felix T. |d 1981- |e VerfasserIn |0 (DE-588)1043285474 |0 (DE-627)771321066 |0 (DE-576)394610342 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t NMR in biomedicine |d New York, NY : Wiley, 1988 |g (2020), Artikel-ID e4307$nSpecial issue, Seite 1-17 |h Online-Ressource |w (DE-627)313117551 |w (DE-600)2002003-X |w (DE-576)096188642 |x 1099-1492 |7 nnas |a Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines |
| 773 | 1 | 8 | |g year:2020 |g elocationid:e4307$nSpecial issue |g pages:1-17 |g extent:17 |a Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines |
| 856 | 4 | 0 | |u https://doi.org/10.1002/nbm.4307 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/nbm.4307 |x Verlag |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20210812 | ||
| 993 | |a Article | ||
| 994 | |a 2020 | ||
| 998 | |g 1043285474 |a Kurz, Felix T. |m 1043285474:Kurz, Felix T. |d 910000 |d 911100 |d 50000 |e 910000PK1043285474 |e 911100PK1043285474 |e 50000PK1043285474 |k 0/910000/ |k 1/910000/911100/ |k 0/50000/ |p 13 |y j | ||
| 998 | |g 137982755 |a Ziener, Christian H. |m 137982755:Ziener, Christian H. |d 50000 |e 50000PZ137982755 |k 0/50000/ |p 12 | ||
| 998 | |g 1022496298 |a Breckwoldt, Michael O. |m 1022496298:Breckwoldt, Michael O. |d 910000 |d 911100 |e 910000PB1022496298 |e 911100PB1022496298 |k 0/910000/ |k 1/910000/911100/ |p 11 | ||
| 998 | |g 1032676426 |a Bendszus, Martin |m 1032676426:Bendszus, Martin |d 910000 |d 911100 |e 910000PB1032676426 |e 911100PB1032676426 |k 0/910000/ |k 1/910000/911100/ |p 10 | ||
| 998 | |g 106732626X |a Heiland, Sabine |m 106732626X:Heiland, Sabine |d 910000 |d 911100 |e 910000PH106732626X |e 911100PH106732626X |k 0/910000/ |k 1/910000/911100/ |p 9 | ||
| 998 | |g 105866655X |a Tews, Björn |m 105866655X:Tews, Björn |d 50000 |e 50000PT105866655X |k 0/50000/ |p 8 | ||
| 998 | |g 1161484809 |a Jende, Johann |m 1161484809:Jende, Johann |d 910000 |d 911100 |e 910000PJ1161484809 |e 911100PJ1161484809 |k 0/910000/ |k 1/910000/911100/ |p 7 | ||
| 998 | |g 142064564 |a Zhang, Ke |m 142064564:Zhang, Ke |d 910000 |d 911400 |e 910000PZ142064564 |e 911400PZ142064564 |k 0/910000/ |k 1/910000/911400/ |p 6 | ||
| 998 | |g 1096228149 |a Sturm, Volker Jörg Friedrich |m 1096228149:Sturm, Volker Jörg Friedrich |d 910000 |d 911100 |e 910000PS1096228149 |e 911100PS1096228149 |k 0/910000/ |k 1/910000/911100/ |p 5 | ||
| 998 | |g 1186280395 |a Hahn, Artur |m 1186280395:Hahn, Artur |d 910000 |d 911100 |e 910000PH1186280395 |e 911100PH1186280395 |k 0/910000/ |k 1/910000/911100/ |p 1 |x j | ||
| 999 | |a KXP-PPN1766718817 |e 396652273X | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"name":{"displayForm":["Artur Hahn, Julia Bode, Sarah Schuhegger, Thomas Krüwel, Volker J.F. Sturm, Ke Zhang, Johann M.E. Jende, Björn Tews, Sabine Heiland, Martin Bendszus, Michael O. Breckwoldt, Christian H. Ziener, Felix T. Kurz"]},"id":{"doi":["10.1002/nbm.4307"],"eki":["1766718817"]},"physDesc":[{"extent":"17 S."}],"recId":"1766718817","origin":[{"dateIssuedKey":"2020","dateIssuedDisp":"14 April 2020"}],"person":[{"display":"Hahn, Artur","given":"Artur","role":"aut","family":"Hahn"},{"given":"Julia","role":"aut","family":"Krüwel-Bode","display":"Krüwel-Bode, Julia"},{"role":"aut","given":"Sarah","family":"Schuhegger","display":"Schuhegger, Sarah"},{"display":"Krüwel, Thomas","family":"Krüwel","given":"Thomas","role":"aut"},{"display":"Sturm, Volker Jörg Friedrich","given":"Volker Jörg Friedrich","role":"aut","family":"Sturm"},{"family":"Zhang","role":"aut","given":"Ke","display":"Zhang, Ke"},{"family":"Jende","given":"Johann","role":"aut","display":"Jende, Johann"},{"family":"Tews","role":"aut","given":"Björn","display":"Tews, Björn"},{"family":"Heiland","role":"aut","given":"Sabine","display":"Heiland, Sabine"},{"display":"Bendszus, Martin","family":"Bendszus","given":"Martin","role":"aut"},{"given":"Michael O.","role":"aut","family":"Breckwoldt","display":"Breckwoldt, Michael O."},{"display":"Ziener, Christian H.","given":"Christian H.","role":"aut","family":"Ziener"},{"display":"Kurz, Felix T.","family":"Kurz","given":"Felix T.","role":"aut"}],"relHost":[{"note":["Gesehen am 13.01.12"],"language":["eng"],"type":{"media":"Online-Ressource","bibl":"periodical"},"title":[{"title_sort":"NMR in biomedicine","title":"NMR in biomedicine","subtitle":"an international journal devoted to the development and application of magnetic resonance in vivo"}],"origin":[{"dateIssuedDisp":"1988-","dateIssuedKey":"1988","publisherPlace":"New York, NY","publisher":"Wiley"}],"disp":"Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machinesNMR in biomedicine","physDesc":[{"extent":"Online-Ressource"}],"recId":"313117551","part":{"year":"2020","pages":"1-17","extent":"17","text":"(2020), Artikel-ID e4307$nSpecial issue, Seite 1-17"},"id":{"issn":["1099-1492"],"eki":["313117551"],"zdb":["2002003-X"],"doi":["10.1002/(ISSN)1099-1492"]},"pubHistory":["1.1988 -"],"titleAlt":[{"title":"Nuclear magnetic resonance in biomedicine"}]}],"type":{"bibl":"article-journal","media":"Online-Ressource"},"language":["eng"],"note":["Gesehen am 12.08.2021"],"title":[{"title_sort":"Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines","title":"Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines"}]} | ||
| SRT | |a HAHNARTURKBRAINTUMOR1420 | ||