for the purpose of illustration only , the following detailed description references a certain embodiment of an electron beam tomography ( ebt ) imaging system . it is understood that the present invention may be used with other imaging systems ( such as computed tomography systems , and other imaging systems , for example ). fig1 illustrates an ebt imaging system 100 formed in accordance with an embodiment of the present invention . the system 100 includes an electron source 110 , a focusing coil 120 , deflection coils 130 , target rings 140 - 143 , a data acquisition system ( das ) 150 , a reconstruction system 155 , a detector array 160 , and an object positioner 170 . as will be described further below , the electron source 110 generates an electron beam that travels to the focusing coil 120 . at the focusing coil 120 , the electron beam is focused to create a narrow , elliptical beam spot on the target rings 140 - 143 . at the deflection coils 130 , the electron beam is deflected to sweep along one of the target rings 140 - 143 . when the focused electron beam hits one of the target rings 140 - 143 , the contacted target rings 140 - 143 emit a fan beam of x - rays . the point at which electrons from the electron beam are deflected onto the target ring 140 is referred to as the “ beam spot ” and serves as a source of imaging x - rays . in certain embodiments , there may be a single target ring 140 or a plurality of target rings 140 - 143 , for example . in certain embodiments , the target rings 140 - 143 are made of tungsten . the electron beam may be swept along a 210 degree arc to produce , at each spot along the arc , a fan beam of x - rays . the x - rays emitted from the target rings 140 - 143 pass through the object , such as a patient , for example , that is located on the object positioner 170 . the object positioner 170 may be a table , a support , a wall bucky , or other movable or non - movable positioner , for example . the x - rays then impinge upon the detector array 160 . the detector array 160 includes at least one row of detector elements . the detector elements of the detector array 160 generate signals in response to the impinging x - rays . the signals are transmitted from the detector array 160 to the das 150 . the das 150 collects the data and sends the data to a reconstruction system 155 . the reconstruction system 155 analyzes the signals and generates a medical diagnostic image from the data obtained from the detector array 160 . the reconstruction system 155 may also store data or transmit data to an external processor or memory , for example . the reconstruction system 155 may be embodied in software and / or in hardware , for example . the detector array 160 receives x - rays from several angles , along the arc over which the beam is swept , to produce a set of x - ray projections . the projection data is received by the das 150 , and the total data from one sweep are arranged in a matrix called a sinogram . within the sinogram , each row contains all projection data for one detector element , and each column contains data at a certain sample number for that detector element . from the two - dimensional sinogram of projection data , the reconstruction system 155 may reconstruct a two - dimensional image , typically characterizing an axial slice of the object imaged . backprojection or another reconstruction technique may be used to reconstruct the two - dimensional image . the resulting image , however , may contain streaks or image artifacts ( such as ghost images , for example ) due to imperfections or inaccuracies in the system 100 and position of system 100 components . examples of inaccuracies include errors in detector position or mischaracterization of the motion of the beam spot . calibration of the system 100 may help to reduce or eliminate streaks or image artifacts to improve image quality . a phantom may be used to calibrate the system 100 to improve image quality and accuracy , for example . fig2 illustrates a multipin phantom 200 used for system geometrical calibration in accordance with an embodiment of the present invention . the multipin phantom 200 includes a block 210 of foam or other similar material . the multipin phantom 200 also includes a plurality of pins placed on or in the block 210 . multiple pins enable the phantom 200 to triangulate on system 100 components , such as the detector array 160 and the individual detectors of the detector array 160 and electron beam , for example , and obtain additional measurements , such as radius , motion , and position , for example . in certain embodiments , the multipin phantom 200 includes pins 220 - 227 . the pins may include a metal , such as tungsten , for example . the pins 220 - 227 are placed roughly in a circle and are aligned along an axis of the detector array 160 . the pins 220 - 227 may be enclosed in a cylinder of plastic for protection . the multipin phantom 200 may be attached to a smaller cylinder that allows the multipin phantom 200 to be mounted on a centermount of the object positioner 170 . fig3 illustrates a flow diagram 300 for a method for calibrating a medical diagnostic imaging system 100 in accordance with an embodiment of the present invention . after a brief overview , the steps of the method will be described in further detail below . first , at step 310 , positions of the elements of the detector array 160 , coefficients of energy beam or source motion , and other manufacturer information are preloaded . then , at step 320 , the multipin phantom 200 is placed on the object positioner 170 , and a scan is acquired . next , at step 330 , phantom pin locations are analyzed . using the theoretical locations of the elements in the detector array 160 and theoretical motion of the beam spot along the target rings 140 - 143 , a rough estimation of the locations of pins 220 - 227 in the phantom 200 is made . then , at step 340 , the positions of the pins 220 - 227 and the motion of the beam spot along the target rings 140 - 143 is refined in a calculation that assumes the detector elements to be in their ideal location . at step 350 , the refined pin positions and beam spot motion are used to refine the positions of the detector elements . at step 360 , a quality metric called “ cluster error ” ( defined below ) is calculated and used to decide if the measurement of the detector element and beam spot positions is sufficient . if measurement is not sufficient , refinement continues in iterations of the above process . now the method of calibration will be described in more detail . first , at step 310 , theoretical ( or ideal or desired ) component position data is preloaded . the theoretical data may be the expected position of the center of the detector array 160 and of the individual detector elements in the detector array 160 , as well as coefficients describing the radial and angular motion of the beam spot produced by the energy source 110 . the preload of desired data may be preceded by a blank scan to account for background or noise in the ebt imaging system 100 . then , at step 320 , the multipin phantom 200 is scanned . the multipin phantom 200 may be placed on the object positioner 170 , without concern for the precise location of the multipin phantom 200 . next , at step 330 , the positions of the detectors in the detector array 160 and the motion of the electron beam are “ frozen ” at the assumed or theoretical values . a scan with the multipin phantom 200 is performed . a sinogram is produced from irradiation of the multipin phantom 200 by radiation , such as x - rays , for example , from the target rings 140 - 143 . by way of example only , 864 detector elements with 864 samples each may be included in the detector array 160 , and eight pins 220 - 227 may be included in the multipin phantom 200 . in this example , the sinogram obtained from the detector array 160 is an 864 - by - 864 sinogram . next , a trace of pins 220 - 227 through the sinogram is performed to identify the positions of individual pins 220 - 227 in the sinogram . areas of high attenuation are assumed to be pin 220 - 227 shadows and are characterized for their central points and traced through the sinogram . pin 220 - 227 position overlaps and other data may also be removed . by way of example , a sample may be obtained every 40 microseconds . the time at which the center of a pin 220 - 227 is detected may be a fractional sample number , such as sample number 1 . 25 . with 864 detector elements and 8 pins , the result is an 864 - by - 8 table of pin 220 - 227 samples sorted by pin number ( hereinafter , pin sample table ). pins 220 - 227 are identified by a sample number that corresponds to the time at which the sample was obtained ( e . g ., the time at which the center of the pin 220 - 227 was observed ). then , at step 340 , the detector array 160 position is “ frozen ” or held constant at the values calculated in step 330 . new values for the coefficients describing the motion of the beam spot on the target rings 140 - 143 and pin 220 - 227 positions are refined from values obtained in previous steps . the mathematical method of this refinement will be described in detail below . next , at step 350 , the source 110 and pin 220 - 227 positions are “ frozen ” or held constant at the values calculated in step 340 , and the detector array 160 positions are refined . detector position refinement proceeds in a manner similar to the pin 220 - 227 position refinement of step 340 . in effect , pin 220 - 227 positions and electron beam or source 110 motion may be used to triangulate on each detector position in the detector array 160 . then , at step 360 , an assessment of the self - consistency of the set of equations describing the system 100 is made . each entry in the pin sample table can be turned into a hypothetical ray from the detector element to the target ring 140 - 143 . one end of the detector - target ray is defined by the position of the detector element , while the other is defined by the location of the beam spot at the time that detector element saw the pin 220 - 227 . fig4 illustrates a ray tracing 400 used in accordance with an embodiment of the present invention . in the ray tracing 400 , a ray extends from a detector element 465 to the target ring 140 . the actual position of the pin 220 may be unknown . after all detector - target rays for a given pin 220 - 227 are determined , the “ centroid ” of the rays is computed . the centroid is defined as a position in space which minimizes , in a least squares sense , the distance of closest approach of each ray to the centroid . the centroid is then assumed to be the position of the pin 220 - 227 for subsequent calculations . the least squares method is used to solve a set of equations with more equations than unknown variables . accordingly , the answer achieved is not an exact solution but rather a solution that minimizes the sum of the squares of the residual errors . fig5 illustrates a clustering 500 of rays analyzed with a least - squares method used in accordance with an embodiment of the present invention . in fig5 , a plurality of rays from detector elements to the target ring 140 - 143 overlap to form the centroid in the region of the actual pin . the variation among the rays may be used to determine the accuracy of the system of equations describing the pin positions , detector element positions , and beam motion . once the centroid has been determined for all pins , a “ cluster error ” can be calculated . it is defined as the average distance by which each detector - target ray misses its own centroid . in a perfect system , cluster error would be zero . in practice , a cluster error of 5 microns , for example , usually indicates a sufficiently self - consistent solution for streak - free images . at step 370 , if the cluster error is above a certain threshold , refinement continues for the positions of the detector elements and the pins 220 - 227 , along with source 110 motion as a function of time . refinement continues according to the steps described above , starting at step 340 , for example . for example , if the average distance by which rays miss the centroids of the pins 220 - 227 is more than ten microns , the refinement iterations continue . each iteration of refinement may more precisely determine positions and characteristics . if the cluster error is below a certain threshold ( ten microns , for example ), the pin 220 - 227 , detector array 160 , and source 110 calculations are sufficient , and system 100 operation ( e . g ., imaging ) may proceed . that is , the detector position and source 110 motion may be used in reconstruction of a medical diagnostic image through backprojection or other imaging method , for example . while the answers obtained in the above calibration may not be perfect , the process may be iterated so that the solutions converge . in certain embodiments , calibration iterations converge to an answer in which an average ray will miss the centroid of its pin by no more than about three microns . an image generated after such calibration is virtually free of geometrically - caused streaks . iterative calibration also provides an accurate description in radius and angle of beam spot motion along the target rings 140 - 143 . the following is a discussion of the mathematical method used to refine system 100 parameters and component configuration . for example , first consider a one dimensional case represented in fig6 . assume there is a variable parameter “ x ” and a theoretical function “ f ” that operates on parameter x . for an observed empirical value , f ( x 0 ), a value x 0 may be determined that will cause the function f to produce an observed empirical value f ( x 0 ). analysis begins with an initial guess x 1 which , when acted upon by the theoretical function , produces a value f ( x 1 ). if the derivatives of function “ f ” may be calculated , a taylor &# 39 ; s series expansion is performed about point x 1 , since f ( x 0 ) is a known , empirical value , solving for “ h ” may reveal how much to vary x 1 to produce x 0 , the unknown quantity . solving for h is impractical , however , so the series is simplified to ignore second - order and higher terms . the resulting equation is equation 2 may be solved for h 1 , giving an approximate solution for an improved “ x ,” x 2 = x 1 + h 1 ( 3 ). proceeding in this fashion , approximations may be refined to produce x 3 , x 4 , etc ., each of which is closer to the desired value x 0 . that is , the input parameter may be refined until the theoretical function acting on the input parameter produces the desired observed value . however , rather than simply solving for a one - dimensional “ x ,” multiple parameters may be simultaneously optimized to produce a close theoretical match to thousands of detector - pin “ events ” visible in the sinogram of the multipin phantom 200 . the parameters include positions of each pin 220 - 227 , positions of the detector elements in the detector array 160 , and the coefficients of the fourier series describing the motion of the electron beam source in radius and angle , for example . therefore , for a given detector element d and a given pin p , the error ( difference between theoretical sample prediction q s and measured sample number q m ) may be written as q m d , p - q s d , p ≈ ∂ q d , p ∂ r p ⁢ | s ⁢ · ∇ r p + ∂ q d , p ∂ θ p ⁢ | s ⁢ · ∇ θ p + ∑ j ncoefs ⁢ ∂ q d , p ∂ rc j ⁢ | s ⁢ · ∇ rc j + ∑ j ncoefs ⁢ ∂ q d , p ∂ a ⁢ ⁢ c j ⁢ | s ⁢ · ∇ a ⁢ ⁢ c j ( 4 ) where r p represents the radius of pin p , θ p represents the angle of pin p , rc j represents the j th radial coefficient of beam motion , and ac j represents the j th angular coefficient of beam motion . in other words , the measured sample value of pin p in detector element d is roughly equal to the theoretical value plus the derivative of the sample function with respect to pin p &# 39 ; s radius times ∇ r , plus the derivative with respect to pin p &# 39 ; s angle times ∇ θ , plus the derivatives multiplied by the deltas of the source coefficient terms , etc . a desired result of the calculation is the values of the deltas (“∇”) that minimize the difference between measured pin sample values and theoretical values obtained by applying the system model (“ f ”) to the parameter values ( i . e ., pin position , beam motion coefficients , etc .). while equation ( 4 ) is one equation with multiple unknowns , creating simultaneous equations for all pins 220 - 227 seen by all detector elements in the detector array 160 results in more equations than unknowns . by casting the problem into a system of linear equations , an adjustment to the parameters ( represented by the vector h ) may be determined using singular value decomposition ( svd ). svd minimizes , in a least - squares sense , the disagreement between theoretical sample values and the empirically measured values . thus , equation ( 4 ) may be generalized to a system of equations denoted by where { right arrow over ( e )} represents the error or the difference between measurement and theory of each detector - pin combination , the vector δrc denotes adjustments or deltas for individual parameters to produce more accurate theoretical sample values , and p represents the matrix of partial derivatives of each detector - pin sample with respect to individual parameters . the error vector { right arrow over ( e )} mmay be represented as follows : detector 1 detector 2 . . . detectorn { right arrow over ( e )}=[ e 1 1 , e 2 1 , e 3 1 , . . . , e npins 1 , e 2 2 , e 3 2 , . . . , e npins 2 , . . . , e 1 n , e 2 n , e 3 n , . . . , e npins n ] (( 6 ), where e p d ddenotes a difference between empirical data and theory in the sample number of pin p as seen by detector d . the vector of parameter changes may be represented as follows { right arrow over ( h )}=[ δr p1 , δθ p1 , δr p2 , δθ p2 , . . . , δrc 1 , δrc 2 , δrc 3 , . . . , δac 1 , δac 2 , δac 3 , . . . ] (( 7 ), where δr p ddenotes a change in radius of pin p , δθ p represents a change in angle of pin p , δrc represents a change in radial source coefficient , and δac denotes a change in angular source coefficient . the matrix of derivatives p is shown below . in practice , pin position cross terms may be set to zero , as a deviation in the position of one pin position has only a second order effect on another pin position . p = [ ∂ q 11 ∂ r p1 ⁢ ∂ q 11 ∂ θ p1 ⁢ ∂ q 11 ∂ r p2 ⁢ ∂ q 11 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q 11 ∂ rc 1 ⁢ ∂ q 11 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q 11 ∂ ac 1 ⁢ ∂ q 11 ∂ ac 2 ⁢ ⋯ ∂ q 12 ∂ r p1 ⁢ ∂ q 12 ∂ θ p1 ⁢ ∂ q 12 ∂ r p2 ⁢ ∂ q 12 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q 12 ∂ rc 1 ⁢ ∂ q 12 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q 12 ∂ ac 1 ⁢ ∂ q 12 ∂ ac 2 ⁢ ⋯ ∂ q 13 ∂ r p1 ⁢ ∂ q 13 ∂ θ p1 ⁢ ∂ q 13 ∂ r p2 ⁢ ∂ q 13 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q 13 ∂ rc 1 ⁢ ∂ q 13 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q 13 ∂ ac 1 ⁢ ∂ q 13 ∂ ac 2 ⁢ ⋯ ⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯ ∂ q 21 ∂ r p1 ⁢ ∂ q 21 ∂ θ p1 ⁢ ∂ q 21 ∂ r p2 ⁢ ∂ q 21 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q 21 ∂ rc 1 ⁢ ∂ q 21 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q 21 ∂ ac 1 ⁢ ∂ q 21 ∂ ac 2 ⁢ ⋯ ∂ q 22 ∂ r p1 ⁢ ∂ q 22 ∂ θ p1 ⁢ ∂ q 22 ∂ r p2 ⁢ ∂ q 22 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q 22 ∂ rc 1 ⁢ ∂ q 22 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q 22 ∂ ac 1 ⁢ ∂ q 22 ∂ ac 2 ⁢ ⋯ ∂ q 23 ∂ r p1 ⁢ ∂ q 23 ∂ θ p1 ⁢ ∂ q 23 ∂ r p2 ⁢ ∂ q 23 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q 23 ∂ rc 1 ⁢ ∂ q 23 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q 23 ∂ ac 1 ⁢ ∂ q 23 ∂ ac 2 ⁢ ⋯ ⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯ ∂ q n1 ∂ r p1 ⁢ ∂ q n1 ∂ θ p1 ⁢ ∂ q n1 ∂ r p2 ⁢ ∂ q n1 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q n1 ∂ rc 1 ⁢ ∂ q n1 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q n1 ∂ ac 1 ⁢ ∂ q n1 ∂ ac 2 ⁢ ⋯ ∂ q n2 ∂ r p1 ⁢ ∂ q n2 ∂ θ p1 ⁢ ∂ q n2 ∂ r p2 ⁢ ∂ q n2 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q n2 ∂ rc 1 ⁢ ∂ q n2 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q n2 ∂ ac 1 ⁢ ∂ q n2 ∂ ac 2 ⁢ ⋯ ∂ q n3 ∂ r p1 ⁢ ∂ q n3 ∂ θ p1 ⁢ ∂ q n3 ∂ r p2 ⁢ ∂ q n3 ∂ θ p2 ⁢ ⋯ ⁢ ∂ q n3 ∂ rc 1 ⁢ ∂ q n3 ∂ rc 2 ⁢ ⋯ ⁢ ∂ q n3 ∂ ac 1 ⁢ ∂ q n3 ∂ ac 2 ⁢ ⋯ ⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯ ] ⁢ pin ⁢ ⁢ 1 pin ⁢ ⁢ 2 ⁢ ⁢ detector ⁢ ⁢ 1 pin ⁢ ⁢ 3 pin ⁢ ⁢ 1 pin ⁢ ⁢ 2 ⁢ ⁢ detector ⁢ ⁢ 2 pin ⁢ ⁢ 3 pin ⁢ ⁢ 1 pin ⁢ ⁢ 2 ⁢ ⁢ detector ⁢ ⁢ n pin ⁢ ⁢ 3 ⁢ ⁢ (( 8 ) tthe matrix p includes a number of rows equal to the number of detector elements n in the detector array 160 in the system 100 multiplied by the number n of pins 220 - 227 . the number of columns in the matrix p is equal to twice the number n of pins 220 - 227 ( one term for each radius , one term for each angle ) plus the number of source coefficients . the first set of columns represents derivative terms for the pin positions , varying the radius and angle of each pin according to sample number . the second set of columns varies the radius coefficients of the source electron beam . the third set of columns varies the angle coefficients of the source . calculation of the derivative terms may be accomplished numerically . once the equation e = h * p is set up , the solution involves using a singular value decomposition ( svd ) algorithm to solve for h . values in the vector h may be added to the initial parameters to provide a more accurate list of pin 220 - 227 positions and source 110 coefficients . improved detector element positions may also be calculated . solving for detector element positions by adding detector element positions to the system of equations results in too large of a solution space for current off - the - shelf computers . thus , a separate “ clustering ” method may be used in which detector element positions are solved for individually . for each detector element , the source coefficients are evaluated at the times of each pin 220 - 227 sighting ( yielding the source 110 positions ). rays may be drawn from the target 140 - 143 through the pins 220 - 227 . a point of convergence is calculated . the detector element position is updated to the point of convergence , barring errors or unlikely results . the process of setting up the system of equations , solving the system , and clustering of detector elements may then be repeated until a sufficient answer is obtained . in certain embodiments , motion and other characteristics of the energy beam may be modified based on the above described calibration method . for example , iterative calibration of the detector array 160 and energy source 110 is performed , as described above in reference to fig1 , 2 and 3 . then , beam spot motion information is used to adjust currents applied to the deflection coils 130 coils . a complete set of coil currents for a scan is called a “ tune .” fig7 illustrates an electron beam tuning system 700 formed in accordance with an embodiment of the present invention . the system 700 includes a radial beam correction module 780 and an angular beam adjustment module 790 . the radial beam correction module 780 and the angular beam adjustment module 790 may be separate units or may be combined in a single unit . the radial beam correction module 780 and the angular beam adjustment module 790 may be embodied in hardware and / or in software . the system 700 may be used in conjunction with an electron source 710 , a focusing coil 720 , deflection coils 730 , target rings 740 - 743 , a das 750 , a reconstruction system 755 , a detector array 760 , an object positioner 770 , and a multipin phantom 775 . the electron source 710 , focusing coil 720 , deflection coil 730 , target rings 740 - 743 , das 750 , reconstruction system 755 , detector array 760 , object positioner 770 , and multipin phantom 775 are similar to the components described above in relations to fig1 and fig2 . in operation , tuning is similar to calibration described above . the multipin phantom 775 is placed on the object positioner 770 without particular regard to accuracy . a scan is acquired . then , the iterative computations previously described are performed to characterize the motion of the beam spot along the target rings 140 - 143 . once beam spot and / or electron beam motion have been determined , coil currents may be adjusted to optimize beam spot and / or electron beam movement . coil currents for the deflection coil are stored as a series of deflection update blocks ( dubs ). a dub represents a single “ quantum ” of coil currents sent to each deflection coil . in certain embodiments , a dub is stored for every twenty microseconds . thus , a single deflection buffer may contain thousands of dubs . in correcting radial fluctuations of the motion of the beam spot along the target rings 140 - 143 , the radius of the beam spot is examined at the time of each dub . if the radius is too large ( too much deflection ), the dipole currents in the deflection coil are decreased by a scale factor proportional to the size of the deviation from an ideal tune . if the radius is too small ( not enough deflection ), the dipole currents are increased by a scale factor proportional to the size of the deviation from an ideal tune . by going through each dub and scaling the dipole currents , a tune that is substantially flatter and closer to an ideal tune than the original tune may be obtained . the above process may be iterated ( rescan the multipin phantom 775 with the new tune , redo the multipin phantom 775 calibration , and re - correct the deflection buffers ) to produce a set of coil currents with a desired radial flatness . the angular motion of the electron beam may also be adjusted using information from the multipin phantom 775 . an optimal tune produces a beam spot that moves with a constant angular velocity . an initial tune may have angular accelerations and decelerations . deviations from the desired angular velocity may be flattened out on a dub - by - dub basis . each dub corresponds to a specified time ; hence the desired angular position of the beam spot for each dub is known . the actual angular position at a given time is contained in a beam spot position file calculated using the multipin phantom 775 . although the beam spot goes through all the correct angles , the beam spot may not be at the correct angle at the correct time . by searching through the existing dubs and beam spot position file , coil currents may be found that will place the electron beam at the desired position for any given dub . these currents are then interpolated and loaded into the dub that is being optimized . for example , assume that the dub at 25 milliseconds is the one being optimized . it may be that the desired location of the beam spot at this time is the 6 o &# 39 ; clock position . however , the actual beam spot may be at the 6 o &# 39 ; clock position at a different time , for example t = 24 . 985 ms . in that case , the coil currents in the two dubs spanning 24 . 985 ms would be linearly interpolated and placed in the dub at 25 ms . linear interpolation or combination will help ensure that the beam spot will be at the 6 o &# 39 ; clock position at 25 ms into the scan . linear combination is performed for every dub in the deflection buffer . through linear combination , the angular deviations are “ flattened ,” and a constant angular velocity is approached . in some embodiments , the flattening process is iterated to approach the desired angular velocity . physical limitations of the deflection coil 730 and focusing coil 720 and effects of the previously described radial modifications being performed along with the angular modifications may result in iteration . fig8 illustrates a flow diagram 800 for a method for adjusting an electron beam used in accordance with an embodiment of the present invention . first , pin positions , detector element positions , and electron beam motion parameters are determined through estimation and refinement according to steps 310 - 370 described above . when detector element positions and electron beam motion have been computed , the electron beam may be adjusted as described below . electron beam and beam spot motion parameters , as well as other parameters , such as pin positions and detector element positions , may be stored in a file . at step 375 , the file , such as the beam spot motion file , may be loaded or retrieved in the system 700 for use in adjusting the electron beam . at step 380 , currents for the deflection coils 730 are loaded from a series of deflection update blocks ( dubs ). then , at step 385 , the radius of the electron beam spot is examined at the time of each dub . if the radius is too large ( indicating too much deflection , for example ), the dipole currents in the deflection coil are decreased by a scale factor proportional to the size of the deviation from an ideal coil current or tune . if the radius is too small ( indicating not enough deflection , for example ), the dipole currents are increased by a scale factor proportional to the size of the deviation from an ideal tune . next , at step 390 , dubs are adjusted to put the beam at a proper angle as a function of time . using the search and interpolation method described above , the coil currents are modified to make the beam spot sweep along the targets 140 - 143 with the correct constant angular velocity . finally , at step 395 , the adjusted coil current values are stored . the adjusted coil currents aim and focus the electron beam in the electromagnetic focusing coil 20 and deflection coils 730 to strike a desired position on the target rings 740 - 743 at a desired time . the above steps may be repeated as necessary to adjust the electron beam . while the invention has been described with reference to certain embodiments , it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the invention . in addition , many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from its scope . therefore , it is intended that the invention not be limited to the particular embodiment disclosed , but that the invention will include all embodiments falling within the scope of the appended claims .