1
Set conditions
2
Inspect the angular-longitudinal diagram and weights
The full 0-360° angular-longitudinal diagram and the linear weights of the two nearest candidates around the target plane are displayed to trace their relationship to SSPz.
The horizontal axis is the longitudinal distance between a candidate-row center and the target plane, and the vertical axis is the relative tube angle in the model. The left column ignores the transaxial-position-dependent variation in source-to-point distance. The right column applies that variation to candidate-row positions and row widths in an idealized manner. The two conditions coincide at isocenter.
For the right column, the distance ratio to a fixed evaluation point is defined as q(β) = L(β)/R = √{1 + (r/R)² − 2(r/R)cosβ} Here, R is the source-to-isocenter distance, r is the radial distance from isocenter to the evaluation point, β is the relative tube angle with 0° defined when the source lies in the direction of the evaluation point, and L(β) is the source-to-point distance at that angle. The ratio q increases from 0° to 180° and decreases from 180° to 360°. Because the difference from the parallel-beam approximation, q - 1, changes sign within one rotation, the magnitude of the effect first decreases and then increases again. Candidate-row centers are obtained by adding the detector-row position scaled by q(β) to the linear longitudinal table motion. The candidate trajectories in the right column therefore curve gradually and return to the same distance ratio at 360°; they are not straight lines with a constant slope.
With cone-geometry scaling
Periodic source-to-point distanceCircles identify the nearest acquired candidates on the smaller-z and larger-z sides of the target plane at each angle over 0-360°. Marker size is constant; within each detector-row color, increasing color saturation represents increasing linear interpolation weight. When a candidate coincides with the target plane, that candidate alone receives a weight of 1.
Without cone-geometry scaling
Parallel-beam approximation; nearest candidatesWith cone-geometry scaling
Periodic distance scaling; nearest candidatesAngle β is the relative tube angle in this model; 0° is not a measured absolute tube angle. Every acquired angle from 0° to less than 360° is processed by the same rule, with no replacement by opposite-ray data at 180°. Because the ideal helical trajectory continues indefinitely, candidate searching is not truncated at a fixed number of rotations. For all detector rows, the overview includes rotations containing the nearest candidates on the smaller-z and larger-z sides of the target-plane coordinate, plus one adjacent rotation before and after that range.
3
Inspect complete SSPz shapes and variation
Inspect tails, asymmetry, and the complete profile rather than width alone.
First, all 360 model SSPz curves after application of the configured slice thickness are overlaid individually to show the positional and shape variation remaining relative to that thickness. Intermediate SSPz curves before thickness application are not displayed; only the candidate-spacing ratio Δz/T is retained as a supplementary geometric indicator of the computational pathway.
These model SSPz curves include the configured slice thickness T. The horizontal range is determined automatically from only the post-thickness central profiles at or above 10% across all 360 states. Broad low-amplitude tails therefore do not compress the central profiles, allowing direct inspection of full width at half maximum (FWHM) and full width at tenth maximum (FWTM). Each state is normalized by its own maximum, and no additional alignment is performed beyond defining z - z₀=0 at that state's reconstruction plane.
Each thin line represents one of 360 equally spaced model states, with no state subsampling. No summary curve or filled envelope is superimposed, so the overlap among individual curves remains visible. These states do not represent 360 separate acquisitions or measured absolute tube angles.
Without cone-geometry scaling
Parallel-beam approximation; post-thicknessWith cone-geometry scaling
Periodic distance scaling; post-thicknessThe post-thickness SSPz curves with cone-geometry scaling from 3A are displayed with a logarithmic vertical axis. This separates broad low-amplitude tails, which may persist even when FWHM is nearly constant, from the central profile. Values below 0.1% are not drawn.
With cone-geometry scaling
Periodic distance scaling; low-amplitude tails3C Supplementary display: discreteness of candidate geometry relative to configured thickness, Δz/T Open when needed
At each angle, Δz is the longitudinal distance between the nearest candidates on the smaller-z and larger-z sides of the target-plane coordinate z₀. These sides refer to z-coordinate values, not to the vertical direction of the diagram. Δz/T is a supplementary indicator of potential interpolation sensitivity in the acquisition geometry; it does not indicate whether image reconstruction succeeds and does not predict the final SSPz of a commercial scanner.
Without cone-geometry scaling
Parallel-beam approximation; Δz/TWith cone-geometry scaling
Periodic distance scaling; Δz/TSSPz for the selected state
Horizontal range automatically adjusted from the post-thickness SSPz at or above 10%Only model SSPz curves after application of the configured slice thickness are summarized using width metrics. The displayed variation compares the potential influence of acquisition geometry relative to that thickness. Intermediate SSPz widths before thickness application are omitted from this primary analysis because they can be mistaken for reconstructed slice thickness. FWHM uses only the two outer 50% crossings and therefore does not retain changes in the tails or centroid.
Within-rotation width variation of post-thickness SSPz
FWHM| Condition | FWHM (mm) | FWTM (mm) | σ (mm) | Maximum Δz/T |
|---|
Definitions: SSPz, longitudinal slice sensitivity profile; FWHM, full width at half maximum; FWTM, full width at tenth maximum; σ, standard deviation of the area-normalized SSPz; Δz/T, spacing between the nearest candidates that bracket the target plane divided by the configured slice thickness. Displayed precision is for recording model output and does not represent measurement accuracy.
4
Model scope
Implemented
- Acquired projection-data geometry for a 0-360° full scan (equal angular sampling from 0° to less than 360°)
- Enumeration of detector-row candidates over multiple rotations
- Search for the two nearest candidates that bracket the target plane and assignment of linear interpolation weights
- Ratio of nearest-candidate spacing to configured slice thickness, Δz/T
- Unit-area rectangular detector-row response
- Downstream explanatory model using a uniformly weighted rectangular window with the configured slice thickness
- Idealized scaling of candidate-row positions and row widths by variation in source-to-point distance
Not implemented
- Schaller et al.'s adaptive longitudinal interpolation algorithm
- Three-dimensional backprojection such as the Feldkamp method
- Projection selection and weighting specific to TCOT or MUSCOT
- Scanner-specific redundancy, cone-beam, or backprojection weighting
- Iterative reconstruction, deep-learning reconstruction, or noise
- Temporal sensitivity profile (TSP) or motion response
Caution:SSPz, FWHM, and FWTM are newly computed from acquired views over a 0-360° full scan; values from the former 180° half-scan model are not reused. Views have equal angular weight, and linear weights are normalized between the nearest candidates on the smaller-z and larger-z sides of the target-plane coordinate z₀. The ideal helical trajectory is searched without a fixed rotation limit until candidates are found on both sides; thus, no artificial missing data are introduced by a fixed support width. Configured slice thickness is an input, whereas FWHM, FWTM, and standard deviation are outputs measured from the generated SSPz. Proprietary data selection, redundancy weighting, and backprojection in commercial scanners are not reproduced. Do not use this reference for patient care, scanner quality assurance, or quantitative prediction of commercial reconstruction.
5
Literature basis and implementation boundaries
The following studies informed development of the angular-longitudinal diagram and SSPz model. Their inclusion does not mean that this website reproduces the reconstruction algorithm in any cited paper. The relationship and implementation boundary are stated below each reference.
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Wang G, Vannier MW. Spatial variation of section sensitivity profile in spiral computed tomography. Medical Physics. 1994;21:1491–1497.
Basis for geometric analysis of the spatial variation of the section sensitivity profile (SSP) with transaxial position. This website does not directly use the paper's 180° half-scan formulation.
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Wang G, Madsen M, Redford K, Zhao S, Vannier MW. A study on the section sensitivity profile in multi-row-detector spiral CT. Journal of X-Ray Science and Technology. 2003;11:1–11.
Basis for the angular-longitudinal relationship and SSP analysis in multi-row-detector CT. This website does not use extended 180° interpolation or generated opposite-ray data; it computes one acquired projection-data series over 0-360°.
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Schaller S, Flohr T, Klingenbeck K, Krause J, Fuchs T, Kalender WA. Spiral interpolation algorithm for multislice spiral CT—Part I: Theory. IEEE Transactions on Medical Imaging. 2000;19:822–834.
Theoretical basis for longitudinal interpolation and normalized weights in multislice spiral CT. The explanatory two-candidate model on this website is not an implementation of the adaptive longitudinal interpolation algorithm described in that paper.
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Kudo H, Rodet T, Noo F, Defrise M. Exact and approximate algorithms for helical cone-beam CT. Physics in Medicine and Biology. 2004;49:2913–2931.
Theoretical basis for considering helical cone-beam reconstruction and data utilization with multi-row detectors. The distance scaling on this website is an idealized geometric display and does not implement the exact or approximate reconstruction algorithms in that paper.
Explanatory model specific to this website:The model combines an acquired projection-data series over 0-360°, a search for the nearest candidates that bracket the target plane, linear interpolation weights between those candidates, and a rectangular window with the configured slice thickness. It does not reproduce a specific commercial reconstruction method described in the literature.
6
Reporting errors and corrections
This website provides a public reference model for research and education. If you identify an error in an equation, geometry, terminology, implementation, or figure, please let us know. Critical review by specialists is welcome.
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Correction policy: We will review each report and, when an error is confirmed, correct the website and describe the update. Public availability does not guarantee that the model is complete or error-free.