Ukuhlaziya i-neuroimaging ne-Linux. ILin4Neuro iyindlela enhle yokuqalisa

Abasebenzisi abaningi beLinux bakhathazekile nge kuzuzwe ubuholi edeskini. Kubo akukhona ukusabalalisa isoftware yamahhala kanye nenkululeko yayo emi-4 kodwa ukunqoba iMicrosoft. Iqiniso lokuthi imakethe yamakhompiyutha yomuntu siqu isihambile, nokuthi okwenziwe yiGoogle ne-Apple kumaselula kuyingozi kakhulu kuneMicrosoft ngezinsuku zabo ezihamba phambili (ezimbi kakhulu), kubonakala sengathi abakhathali.

Futhi abakwazi ukujabulela ubuholi bufinyelelwe ezindaweni ezithile njengefu, amaseva wewebhu noma khomputha. Bakhetha ukuchitha isikhathi ezingxoxweni eziyinyumba nabalandeli be-Photoshop noma i-Excel.

Yingakho isinqumo sami seminyaka emisha sithi yenza amathuluzi esoftware amahhala angasetshenziswa ngempumelelo enkulu emikhakheni iningi lethu elibhala ngale ndaba ingajwayelekile.

Kulokhu okuthunyelwe sizokhuluma ngakho I-Lin4neuroUkusatshalaliswa okufanele kubhekwe yilabo abanentshisekelo ekucabangeni kobuchopho bomuntu.

Akungabazeki ukuthi, ukubheka lokho ohulumeni nezakhamizi ezizimele ezichitha kwezempilo, noma ikuphi ukonga ezindlekweni zamalayisense ngaphandle kokulahleka kwekhwalithi yokunakekelwa kungumgomo ofanele ukufezekiswa. Kungumkhakha lapho isoftware yemithombo yamahhala nevulekile inokuningi ekunikezayo.

Ukuhlaziya i-neuroimaging ne-Linux. Isiqalo esihle sokuqala sabafundi nabachwepheshe

Yinguqulo esuselwe ku-Ubuntu eyenziwe nguprofesa eyunivesithi yaseJapan yaseTsukuba. Kususelwe ku-Ubuntu 16.04 futhi kubonakala kungavuselelwa kusukela ngo-2017. Noma kunjalo, kusasebenza indawo enhle yokuqala ochwepheshe be-neuroimaging ujwayelane nezicelo zomthombo ovulekile futhi abafundi benza umsebenzi osebenzayo.

Izithombe ezihlaziyiwe kungabiwa kalula

Ohlwini lwezinhlelo ngifaka izixhumanisi zamakhasi azo lapho kunokwenzeka.

Sicela wazi ukuthi angiyena udokotela. Yize ngosizo lweGoogle ngizamile ukwenza ukuthi ukuhumusha kube okulungile ngangokunokwenzeka, kungenzeka ukuthi ngikhuzile. Ngivele ngiyakwazisa noma yikuphi ukulungiswa.

Phakathi kwezicelo ezifakiwe ekusatshalalisweni esingakusho:

I-3D Slicer: Lolu hlelo lokusebenza Kubandakanya ama-algorithms wokuhlaziywa kwezithombe ezitholwe ngokusebenza kwe-magnetic resonance imaging kanye ne-diffusion tensor. Zingasetshenziselwa nokwelashwa okuqondiswa isithombe.

I-AFNI:  Uhlelo ukucubungula nokuhlaziywa kwedatha etholwe kuzithombe zamagnetic resonance.

I-UCL Camino Diffusion MRI Toolki: Ngizobeka incazelo ngesiNgisi ukuze ingabhebhetheki. Ngokusetshenziswa kwe-MRI yokusabalalisa. Ngikuhumusha ukuthi kungenxa yokuhlaziya imaging resonance magnetic. Uma kukhona onguchwepheshe wezithombe ekamelweni ongasicacisela lolu daba, kukhona ifomu lokuphawula ngezansi. Isixhumanisi

Inakekela: Lolu hlelo lokusebenza  ivumela umsebenzisi ukuthi adale, abuke futhi asebenzise ukwakhiwa kabusha kwezindawo zobuchopho ne-cerebral cortex.

Isihlanganisi Esixhunyiwe: Ukuhlaziywa kokuxhumeka phakathi kwezinsizakusebenza kusuka kunoma yimuphi umthombo (i-DSI, i-DTI, i-QBall, i-rs-fMRI, njll.) Ezikalini ezahlukahlukene (zomhlaba, ama-subnet kanye nasendaweni)

I-Connectome Viewer: ixhumanisa amasethi wedatha yenethiwekhi yokuhlaziya nokubona ngeso lokhozi ePython.

I-FSL: Ukuhlaziywa kwesithombe namathuluzi wezibalo we-fMRI, i-MRI, nedatha ye-DTI yobuchopho. Isixhumanisi

IGinkgo CADx: Lolu hlelo lokusebenza izithombe umbukeli kulondolozwe ngaphansi kwezinga elijwayelekile le-DICOM.

I-ITK-Snap: Uhlelo lokwehlukaniswa kwezakhiwo ezithombeni zezokwelapha ze-3D. Isixhumanisi

Minc yamathuluzi: Isicelo yokusingatha amafayela we-MINC

I-MITK: Amathuluzi ekwakhiweni kwesoftware yokusebenzisana yokucubungula isithombe.

Ukwehlukaniswa kweMITK: Uhlelo  kufaka phakathi ukukhethwa kwama-algorithms wokuhlaziywa kwesithombe we-infusion-weighted imaging resonance.

I-MRIConvert: Es insiza isiguquli sefayela lesithombe sezokwelapha esiguqula amafayela we-DICOM abe yi-NIfTI 1.1, Hlaziya i-7.5, i-SPM99 / Hlaziya, amafomethi evolumu ye-BrainVoyager ne-MetaImage.

I-MRIcron: Ingabe ithuluzi ukubonwa kanye nokuhlaziywa kwezithombe ezitholwe nge-magnetic resonance (functional).

I-MRtrix: Ingabe isethi yamathuluzi wokwenza udaba olumhlophe lwethrafikhi emifanekisweni esindayo enesisindo sikazibuthe eqinile yokuwela imicu, kusetshenziswa ukuvinjelwa kwe-sponical deconvolution (CSD) kanye ne-streamlines yamathuba.

I-Virtual NMR: Ikhiqiza ukufaniswa okungokoqobo kwesithwebuli se-MRI.