Granted Patent B2

US 12,196,892 · App. 17/797,316 · Granted Jan 14, 2025

Inventors: Max Ludwig Ahnen (Zürich, CH); Jannis Nikolaus Rudolf Fischer (Zürich, CH)

Assignee: ETH Zurich

G01T1/2018A61B6/4208

Abstract

Claims (23)

1. A computer-implemented method of radiation events localizations for a pixelated radiation detector comprising at least one scintillator array of scintillator array elements arranged in an (m)×(n) array, and an optical sensor array of optical sensors arranged in a (q)×(z) array and coupled to the scintillator array in light sharing mode for determining a spatial intensity distribution of scintillation photons, wherein the scintillation photons are emitted by the scintillator array in response to incident radiation events at photo conversion positions, wherein the computer-implemented method comprises the steps of:

sampling spatial intensity distributions of scintillation photons emitted by the scintillator array in response to multiple incident radiation events,

performing at least one clustering analysis on the sampled spatial intensity distributions of scintillation photons, to obtain clusters of radiation events attributed to scintillator array elements, wherein the dimension of the sampled spatial intensity distributions of the scintillation photons correspond to the (q)×(z) dimensions of the optical sensor array, and

determining the localization of the radiation events based on the at least one clustering analysis.

2. The computer-implemented method according to claim 1 , wherein a clustering analysis is repeated based on the clusters obtained by the previously performed clustering analysis.

3. The computer-implemented method according to claim 2 , wherein the first and second clustering analyses use the same clustering algorithm or different clustering algorithms.

4. The computer-implemented method according to claim 1 , wherein the clustering analysis comprises using a standard clustering algorithm.

5. The computer-implemented method according to claim 1 , wherein the or each clustering analysis is based on a supervised, semi-supervised, or unsupervised Machine-Learning clustering algorithm.

6. The computer-implemented method according to claim 1 , wherein the or each clustering analysis is based on a density-based spatial clustering algorithm.

7. The computer-implemented method according to claim 1 , wherein the clustering analysis comprises the steps of

defining cluster domain edges

parametrizing said cluster domain edges,

saving obtained parameters in a calibration data array,

applying said parameters to the sampled spatial intensity distributions of scintillation photons sensed by the optical sensor array (q)×(z), and

obtaining data separated into (m)×(n) domains, according to a previous calibration.

8. The computer-implemented method according to claim 1 , wherein said optical sensors are arranged to read out scintillation data from each scintillator element of the at least one scintillator array.

9. The computer-implemented method according to claim 8 , wherein said at least one clustering analysis is based on light intensity samples, to obtain clusters of radiation events attributed to a scintillator array element, and wherein the spatial intensity distributions of scintillation photons of the matrix for each scintillator array element is based on said clusters.

10. A pixelated radiation detector for carrying out the computer-implemented method according to claim 1 , comprising an imaging region within which radiation events may occur, an imaging device arranged to detect radiation events, and a computer operatively connected to the imaging device, wherein the imaging device comprises one or more detector module arrays comprising each several detector modules and a detector module array read-out arrangement connected to read the output of each detector module array, wherein the detector module array read-out arrangement comprises a processing unit to store and/or process acquisition data.

11. The pixelated radiation detector according to claim 10 , wherein each of said detector modules comprises several scintillator units, each scintillator unit comprising a scintillator array having a dimension of (m)×(n), an optical sensor arrangement to detect light from the scintillator array and a scintillator unit output interface connected to a detector module read-out arrangement.

12. The pixelated radiation detector according to claim 11 , wherein the scintillator array comprises scintillator elements, wherein at least one optical sensor of the optical sensor array is associated with two or more scintillator elements, wherein the optical sensor array defines a (q)×(z) array which is related to the size of the scintillator array by (q)<(m) or (z)<(n), or (q)<(m) and (z)<(n).

13. The pixelated radiation detector module according to claim 12 , wherein the acquisition data comprises information about the (q)×(z) dimensional intensity distribution of photons, an identifier of the optical sensor and at least one time stamp, possibly (q)×(z) time stamps or multiple time stamps per (q)×(z) optical sensor, providing a time and spatially sampled intensity distribution of scintillated photons.

14. Medical imaging device comprising a pixelated radiation detector for carrying out the computer-implemented method according to claim 1 , the pixelated radiation detector comprising an imaging region within which radiation events may occur, an imaging device arranged to detect radiation events, and a computer operatively connected to the imaging device, wherein the imaging device comprises one or more detector module arrays comprising each several detector modules and a detector module array read-out arrangement connected to read the output of each detector module array, wherein the detector module array read-out arrangement comprises a processing unit to store and/or process acquisition data.

15. A non-transitive, computer readable storage medium for storing instructions that when executed by a processor execute the method according to claim 1 .

Assignments (2)

Priority Claims (1)

Continuity (1)

References Cited (11)