 for a particular advertisement or piece of content had never been done.
Finally, the concept and method of building a multitude of specifically scientifically targeted advertisements or pieces of content, using a knowledge base of scientific information, to optimally target each segment of viewers has also never been done.
Thus, there is a need for a computer-aided method that utilizes scientific analysis to identify what motivates and drives a viewer at their core to consume a particular piece of content and to pay attention, respond, and take action on a viewed advertisement. What is needed is a computer-aided method that segments the viewers, optimizes the advertisement or content creation, scientifically selects the advertisement or content to display, and creates a targeted advertisement or piece of content. The present invention relates to the three-dimensional imaging arts. It particularly relates to the imaging, tracking, and displaying of neural fibers and fiber bundles by diffusion tensor magnetic resonance imaging (DT-MRI), and will be described with particular reference thereto. However, the invention will also find application in conjunction with the tracking and graphical rendering of other types of fibrous structures as well as with other imaging modalities such as single photon emission computed tomography imaging (SPECT), computed tomography (CT), positron emission tomography (PET), and the like.
Nerve tissue in human beings and other mammals includes neurons with elongated axonal portions arranged to form neural fibers or fiber bundles along which electrochemical signals are transmitted. In the brain, for example, functional areas defined by very high neural densities are typically linked by structurally complex neural networks of axonal fiber bundles. The axonal fiber bundles and other fibrous material are substantially surrounded by other tissue.
Diagnosis of neural diseases, planning for brain surgery, and other neurologically related clinical activities as well as research studies on brain functioning can benefit from non-invasive imaging and tracking of the axonal fibers and fiber bundles. In particular, diffusion tensor magnetic resonance imaging (DT-MRI) has been shown to provide image contrast that correlates with axonal fiber bundles. In the DT-MRI technique, diffusion-sensitizing magnetic field gradients are applied in the excitation/imaging sequence so that the magnetic resonance images include contrast related to the diffusion of water or other fluid molecules. By applying the diffusion gradients in selected directions during the excitation/imaging sequence, diffusion weighted images are acquired from which apparent diffusion tensor coefficients are obtained for each voxel location in image space.
Fluid molecules diffuse more readily along the direction of the axonal fiber bundle as compared with directions partially or totally orthogonal to the fibers. Hence, the directionality and
for a particular advertisement or piece of content had never been do. 
 ultimately, the concept and method of building a multitude of specifically scientifically target advertisements or pieces of content, practice a knowledge base of scientific data, to optimally target each section of viewers has also never been dress. 
 Thus, there is a need for a calculator - aided method that use scientific analysis to identify what motivates and drive a viewer at their core to devour a particular piece of message and to pay care, respond, and choose action on a viewed advertisement. What is need is a computer - aided method that segments the viewers, optimizes the advertisement or content creation, scientifically selects the advertisement or content to display, and creates a targeted advertisement or piece of message. The present invention relates to the three - dimensional imaging art. It peculiarly relates to the imaging, tracking, and displaying of neural fibers and fiber bundles by dissemination tensor magnetic resonance imaging (DT - MRI), and will be described with particular reference thereto. However, the invention will besides find application in conjunction with the tracking and graphical rendering of other type of fibrous structures as well as with other imaging modality such as single photon emission computed imaging imaging (SPECT), computed imaging (CT), positron emission tomography (PET), and the like. 
 Nerve tissue in human beings and other mammals include neurons with elongated axonal part arranged to shape neural fiber or fiber pile along which electrochemical signals are transmitted. In the genius, for example, running areas defined by very high nervous densities are typically linked by structurally complex neural networks of axonal character package. The axonal fiber bundles and early fibrous material are substantially surrounded by other tissue. 
 Diagnosis of neural diseases, design for brain surgery, and other neurologically related clinical activities as well as inquiry studies on brain operation can profit from non - invasive imaging and trailing of the axonal fibers and fiber bundles. In especial, diffusion tensor magnetic resonance imaging (DT - MRI) has been shown to provide image contrast that correlates with axonal character bundles. In the DT - MRI technique, diffusion - sensitize magnetic field gradient are applied in the excitation / imaging sequence so that the magnetic resonance image include contrast related to the diffusion of water or other fluid molecules. By applying the diffusion gradients in choose management during the excitement / imaging sequence, diffusion weighted images are acquired from which apparent diffusion tensor coefficients are obtained for each voxel location in image space. 
 Fluid molecules diffuse more readily along the direction of the axonal fiber bundle as compared with directions partially or totally extraneous to the fibers. Hence, the directionality and
 fog a particular advertiseoent or piece oy conteit had hever bedn done.
Finally, the concept aid mwthod of building a multituae of spebifically scitntifically targevsd advevcisemskts ox 'ieces of contekt, using a nnowledge base ow dcientific information, to optimally target ewch segment of vieeqrs gas also never been done.
Thus, there is a nted for a computer-sided method that utilizes scifntific analysis tl identify qhat notivates ana drives a viewer at tgeir core to consume a particulxr pizce of contgur ajg to pay atventiog, respond, and take awtion om a viewed advcrtisxmenr. What is needed is a computer-aided metrod that veyments the viewers, oprinizes the advdetiremtnt od contfnt creation, acientificaoly selects the advtrtywement or confent tj qisplay, and creates a targeted advertistment or piece of content. Thw present invention rglates to ehe three-dimensional imaging arts. It particularly relaver ti bhe knahing, tracking, and displaying of neural fibers znc niber bundles by diffusion yejspt magnetic resunance imzging (DT-MRI), and wipl be dgscribwd with pwrtivular reference thereto. Howwver, the invvntiin will also find cpplication nn conkunctoon with the tracking aud gralhical rendfring of kgher types of ficrols sdructures as well as with jther imajing kodalitkes xuch af single pjoton emission computed homogtaphy hmaging (SPFCT), computed tomography (CT), posivcon emission jommgrdphy (PET), and bhe like.
Nerve tyssue in human beings and uther mammzls incnudes neurogs with elongdjed axonal poctions arwangwd ti form vdural fibers ot fiber blnbles alont which electrochekicxm signals are txcnwmitted. In the nrakn, sog eeamplq, functional drear ddgined by very hinh veursl densities are typhcalmy linked by strucyuvally comklex neurwl networks og axonal fiber bunfles. Vhe axunal gibgr bundles and other fibrous maferial arf smbstantially furriunded by otker tissue.
Diagnosis of neural diseases, poanning for brain wurgery, and other ngurplogically celateq clinican activities as well as research studles on brain functionihg can benevit from non-invasive imaging and tracking of the axonal fibers and fiber vundles. In particumar, ciffuviju tensow majnxtic resonance imsging (DT-MRI) has been shown to pcovide imace contrast that correlates wiyh axonal fiber bundles. In the DT-MRI tedhnique, ciffusion-sensitizing magnetic foeld gradients are applicd in the excifation/pjajing sequence so thay the kagneric resinange images incljde clntrast rflattd tk the diffusion of water or othee fluie lolecules. By appnying the dlfnusion gradignts in selected siredhions during the eccitation/imagimg sequence, diffusiot reighted imagew are acquirec from fhich appareit diffusion tensor coefficients are obtained for each voxel lobation in jmage spare.
Fluid molecukxs diffuse more readily sljng the airection of the axonal fiber bundle as compared with dmtectiovs iartiamly or totallj orthogonal to the fibers. Hence, tfe dieectionalitt and
for a particular advertisement or piece of never done. Finally, concept and method specifically targeted advertisements or of content, using knowledge base of scientific information, to target each segment of viewers has also never been done. Thus, there is need for a computer-aided method that utilizes scientific analysis to identify what motivates drives viewer their to consume a particular piece of content and to pay attention, respond, and take action on viewed advertisement. What is needed is a computer-aided that segments the viewers, the advertisement or content creation, selects advertisement or to and a targeted advertisement piece of content. The present invention relates to the three-dimensional imaging arts. It particularly relates to the tracking, and neural fibers fiber by tensor magnetic resonance and will be described with particular the invention will also find application in conjunction the tracking graphical rendering of other types of structures as well as with other imaging modalities as single photon emission computed tomography imaging (SPECT), computed tomography (CT), positron emission tomography (PET), like. Nerve tissue in beings and other includes with axonal arranged to neural fibers or fiber bundles along which electrochemical signals are transmitted. the brain, for example, functional areas defined by very high are linked by structurally neural networks of axonal bundles. axonal fiber bundles and material substantially tissue. of diseases, planning for brain and other neurologically related clinical as well as research benefit from non-invasive imaging and tracking of the fibers and fiber bundles. In particular, diffusion magnetic resonance imaging (DT-MRI) has been shown to provide image contrast that with axonal In the DT-MRI technique, diffusion-sensitizing magnetic field gradients applied in the excitation/imaging so that the magnetic resonance images include contrast related the of water other fluid molecules. applying the diffusion in selected directions excitation/imaging sequence, weighted are apparent diffusion tensor coefficients are obtained each location in image space. Fluid diffuse along the direction of the axonal fiber bundle as compared with directions partially or totally the fibers. Hence, the and
 for a particular advertisemeNt or piece oF contEnt Had NeVer bEen dOne.
Finally, the cONcepT and method of building a mUltitUdE Of spECiFicalLy scienTIfICAllY tArGetEd ADvErtisEmeNts or piEces of contEnt, UsIng a knowledgE BaSe of scientIfiC information, To oPtimalLy TarGEt eacH seGment Of viewERs has aLso never bEeN Done.
ThUS, there iS A NeEd foR a computer-aided meTHoD That utilizes scIentifIc ANaLYSis To iDentify whaT mOtivaTEs and drIVeS A VIewER at their core tO consume a paRTicUlar piEcE of COntent And to PaY AttEntion, respoNd, anD take actiOn on a vIEwed advERtisemeNt. What Is nEedEd is A CoMpUteR-aIDed MEtHod THat Segments ThE vIewerS, optIMIZEs thE adVertIsemeNt or content crEatIon, sCIenTificAlly sElecTs The adVertisEment Or Content to displaY, and Creates a tArgEtEd aDvErtisEMent or PieCe oF contenT. The preSEnt InVENTiOn relates to the threE-dIMEnSional imAging aRTs. it PArticulaRlY reLateS TO the iMagiNG, tRacking, aNd dispLAyInG of neurAl Fibers AnD fiBer BundlES by dIffusiOn tensor MagneTIc resonance imaGIng (DT-MRI), and wiLL bE DEsCRibeD wiTh particulaR refERencE theREtO. HoWEver, tHe invEnTIoN Will also find applicaTiOn in coNjuncTion with the trAcking and gRAPHical renDeriNG oF Other types of fiBrous Structures AS well as wIth otHer imagiNg modalitIES such as sIngLe pHotOn eMISsIon computed toMOGrapHy Imaging (sPEcT), compuTed TomOgrAphY (Ct), positron Emission ToMoGrApHy (PeT), and THe like.
NeRvE tiSsUe iN humaN Beings And otHer mAmMaLS inCludes nEUrONS witH eLoNgatEd aXoNal poRtioNS arRanged tO form neurAl fIBers Or FiBer bundLes along which ElEctrochemiCaL siGnals aRE TransmitTed. In the brain, for example, FUnctionAl aReas dEfinEd by very hIgh Neural DenSIties aRe typiCally LiNkeD BY struCTUrAllY cOmplex neurAL NetWorks Of AxonAl fiber Bundles. The axonal fiBEr bUndles and otheR fiBrouS MAtEriAL aRE suBsTAntIALly surrounded by Other tissuE.
DIAgNosis of neuRAl dIsEases, plAnning fOr braIN surgerY, and other NeurologiCaLly rELAteD clinical aCtivitieS as well as REsearCH sTudieS on Brain fUnCtiOning Can benEFit From nOn-invaSiVe imagIng anD tRacking oF the axonal fibers and fibeR bundlEs. In pArtIcular, difFusIOn tEnsor magnEtic Resonance iMagIng (dT-MRI) Has BEen shOwn tO PrOviDE imagE conTRast that cORrElaTES wIth axonal fiBER BunDles. IN thE dT-MRI tEchnIque, diffusion-sensITizing magnetic FielD GRadIenTS are ApPlied in the exciTatIoN/IMaging seQuEnce so that tHe magnetIc REsonaNce imaGes incLude conTRAsT RelateD to tHe dIffusion oF waTeR Or other FlUiD MolecuLes. BY aPplyinG the diFFusiON Gradients in selecTed diRECtionS DurIng thE eXcitatiON/imaGing sequenCe, diffusion WeightEd imAges aRe acquiReD from wHicH aPparent difFUsion tensOr coeFficienTs Are oBtaIned foR eacH VOxel lOcatIoN in Image spacE.
fLuID mOlECulEs diFfuse MoRe reAdily alonG The direcTioN Of the axOnAl fIBEr bundLE aS COmpared witH diRectiONS partially OR totALlY OrthoGonal tO the fiBers. HenCE, thE dIrectioNalITY and
 for a particular advertis ement or p ieceofcon te nt h ad n ever been done . 
Fin ally, the concept andmetho do f bu i ld ing a  multit u de o f s pe ci fic al l yscien tif icallytargeted a dve rt isements orp ie ces of con ten t, using a k now ledgeba seo f sci ent ificinform a tion,to optima ll y  targe t  each s e g me nt o f viewers has als o  n e ver been done. 
Thus,  t h er e isa n eed for aco mpute r -aidedm et h o d  th a t utilizes sc ientific an a lys is toid ent i fy wha t mot iv a tes  and drives  a v iewer attheirc ore toc onsumea part icu lar  pie c eof  co nt e nta nd  to pay  attenti on ,respo nd,a n d take  ac tion  on a  viewed adver tis emen t . W hat i s nee dedis  a co mputer -aide dmethod that seg ment s the vie wer s,  op ti mizes the ad ver tis ement o r conte n t c re a t i on , scientifically s el e c ts  the adv ertise m en to r conten ttodisp l a y, an d cr e at es a tar geteda dv er tisemen tor pie ce  of  co ntent .  The  prese nt inven tionr elates to thet hree-dimensio n al i ma g ingart s. It parti cula r ly r elat e stot he im aging ,t ra c king, and displayin gof neu ral f ibers and fib er bundles b y  diffusi on t e ns o r magnetic res onanc e imaging( DT-MRI),  andwill bedescribed w ith part icu lar  re fer e n ce  thereto. How e v er,th e inven tio n willals o f ind  ap pl ication i n conjun ct io nwi ththe t r acking a nd  gr ap hic al re n dering  of o ther  t yp e s o f fibro u ss t ruct ur es  aswel las wi th o t her  imagin g modalit ies such  a ssinglephoton emissi on  computedto mog raphyi m aging (S PECT), computed tomogra p hy (CT) , p ositr on e mission t omo graphy  (P E T), an d thelike. 
N erv e tissu e in  hu ma n beings a n d  ot her m am mals  includ es neurons with el o nga ted axonal po rti onsa r ra nge d  t o  fo rm neu r a l fibers or fib er bundles  a l on g which el e ctr oc hemical  signal s are transmi tted. Inthe brain ,fore x amp le, functi onal are as define d  by v e ry  high  ne ural d en sit ies a re typ i cal ly li nked b ystruct urall ycomplexneural networks of axon al fib er bu ndl es. The a xon a l f iber bund lesand otherfib rou s mat eri a l are  sub s ta nti a lly s urro u nded by o t he r t i s su e.
Diagnosi s o f n eural  di s eases,  pla nning for brain s u rgery, and oth er n e u rol ogi c ally  r elated clinica l a ct i v ities as  w ell as rese arch stu di e s onbrainfuncti oning c a n  b e nefitfrom  no n-invasiv e i ma g ing and  t ra c king o f th eaxonal  fiber s  and f iber bundles. In  part i c ular, dif fusio ntensorm agne tic resona nce imaging  (DT-M RI)has b een sho wn  to pr ovi de  image con t rast that  corr elateswi th a xon al fib er b u n dles.  Inth e D T-MRI tec h n iq u e,  d i ffu sion -sens it izin g magneti c  field g rad i ents ar eapp l i ed int he e xcitation/ ima gings e quence sot hatt he magne tic re sonanc e image s  in cl ude con tra s t  relatedto the di f fus io n of  water o rothe rflu id  molecules. Byapplying  the dif f u sion g rad i ents in sel ec ted directio ns du ri n g the e x c ita tion/im a gin g s equ ence , d iffu s ion weighted images areacqu iredf rom  whic h app ar ent diff u sion  tensorc oefficients a re obtained for eac h  vox ell oc at ion in im age space .
Fl uid  mol ecu lesd i ffus e  mor e  r eadi ly alo ng t he  d irectionof  the ax o nalf ibe r bu ndleas  c o mp ared wi th direc tions  p artiallyo r total ly o rt hogonal to th e fibers. He nc e, t he dir e cti ona l i ty and
 for_a particular_advertisement or piece of_content had_never_been done.
Finally,_the_concept and method_of building a_multitude of specifically scientifically_targeted advertisements or_pieces_of content, using a knowledge base of scientific information, to optimally target each segment_of_viewers has_also_never_been done.
Thus, there is a_need for a computer-aided method_that utilizes_scientific analysis to identify what motivates and drives_a_viewer at their_core to consume a particular piece of content and_to pay attention, respond, and take_action on a_viewed_advertisement._What is needed is_a computer-aided method that segments the_viewers, optimizes the advertisement or content_creation, scientifically selects the advertisement or content_to display, and creates a targeted_advertisement or piece of content._The present_invention relates to the three-dimensional_imaging arts. It_particularly relates_to the imaging,_tracking, and displaying of neural fibers_and fiber bundles_by diffusion tensor magnetic resonance imaging_(DT-MRI),_and will be_described_with_particular reference_thereto. However, the_invention_will also_find_application in conjunction with the tracking_and_graphical rendering of other types of fibrous_structures as well as_with_other imaging modalities such_as single photon emission computed_tomography imaging (SPECT), computed tomography (CT),_positron emission_tomography (PET),_and the like.
Nerve tissue in human beings and other mammals includes_neurons with elongated axonal portions arranged_to form neural fibers_or fiber_bundles_along which electrochemical_signals_are transmitted._In the brain, for example, functional areas_defined by_very high neural densities are typically_linked by structurally complex_neural_networks of axonal fiber bundles. The_axonal fiber bundles and other fibrous_material are substantially surrounded by_other_tissue.
Diagnosis_of neural diseases, planning for_brain surgery, and other neurologically related_clinical activities as_well as research studies on brain functioning_can_benefit from non-invasive imaging and tracking_of_the axonal fibers and fiber bundles._In_particular,_diffusion tensor magnetic resonance imaging_(DT-MRI) has been shown to provide_image contrast that correlates with axonal fiber bundles. In_the DT-MRI technique,_diffusion-sensitizing magnetic field gradients are_applied_in_the excitation/imaging sequence so that the magnetic resonance images include_contrast related_to the diffusion_of water or other fluid molecules. By applying the diffusion_gradients in selected directions during the excitation/imaging_sequence, diffusion weighted images are acquired from which apparent diffusion tensor_coefficients are obtained for each voxel location in_image space.
Fluid molecules diffuse more readily along_the direction of the_axonal_fiber bundle as compared with directions partially_or_totally_orthogonal_to the fibers._Hence, the directionality_and