# US 10,502,844 B2 · Sparse acquisition gamma cameras > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,502,844 B2 - Document ID: US10502844B2 - Status: Granted - Kind: B2 - Application number: 15/473,336 - Filed: 2017-03-29 - Published: 2017-10-05 - Granted: 2019-12-10 - Earliest claimed: 2016-03-29 - Assignees: Kromek Group, PLC - Applicants: Kromek Group, PLC - Inventors: James W. Hugg; Brian W. Harris - Web page: https://patentgrep.com/patent/US10502844B2 ## CPC - G01T 1/249: {specially adapted for use in SPECT or PET (SPECT imaging G01T1/1642; PET imaging G01T1/2985; detecting prohibited goods, e.g. weapons, explosives, hazardous substances, contraband or smuggled objects G01V5/20)} - A61B 6/037: {Emission tomography} - G01T 1/243: {Modular detectors, e.g. arrays formed from self contained units (constructional or manufacturing details H10W90/00)} - A61B 6/4275: {using a detector unit almost surrounding the patient, e.g. more than 180°} - A61B 6/483: {involving scattered radiation} - G01T: MEASUREMENT OF NUCLEAR OR X-RADIATION (radiation analysis of materials, mass spectrometry G01N23/00; tubes for determining the presence, intensity, density or energy of radiation or particles H01J47/00) - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract An imaging method and device are described for improving the performance of a gamma camera by optimizing a figure of merit that depends upon cost, efficiency, and spatial resolution. In a modular gamma camera comprising a tiled array of gamma detector modules, the performance figure of merit can be optimized by sparsely placing gamma detector modules within the gamma camera, optimizing collimation, and providing means for detector and/or collimator motion. Sparse gamma cameras can be constructed as flat or curved panels, and elliptical or circular rings. ## Claims ### Claim 1 An imaging method, comprising: receiving information regarding a gamma camera application, wherein the information identifies application requirements and performance requirements; designing a gamma camera architecture for the gamma camera application, wherein the gamma camera comprises a collimator and at least one sparse tiled array of gamma detectors and wherein the gamma camera architecture comprises a collimator scheme and a pattern of the at least one tiled array of gamma detectors, wherein the collimator scheme compensates for a gamma camera motion and missing detectors in the at least one sparse tiled array; the designing comprising: selecting a collimator scheme for the collimator from a plurality of collimator schemes; selecting a pattern of the at least one tiled array; simulating an object of the gamma camera application, wherein the object comprises at least one gamma emission source; modeling a response of the selected collimator scheme and selected pattern of the at least one tiled array to gamma emissions from the simulated object; receiving a simulated data set for the model and identifying a performance figure of merit for the model from the simulated data set; and identifying a gamma camera architecture for the gamma camera application by (i) iteratively performing the selecting a collimator scheme, selecting a pattern, simulating, modeling, and receiving by varying at least one of: collimator scheme and pattern, and (ii) selecting a gamma camera architecture for the gamma camera application based upon the performance figure of merit of the respective gamma camera architecture. ### Claim 2 (depends on 1) The imaging method of claim 1, wherein at least one of the performance requirements of an improvement of the performance figure of merit is selected from the group consisting of: a cost, an efficiency, and a resolution. ### Claim 3 (depends on 1) The imaging method of claim 1, wherein the at least one tiled array of gamma detectors comprises at least one of a flat panel, a curved panel, a circular ring, and an elliptical ring. ### Claim 4 (depends on 1) The imaging method of claim 1, wherein the collimator scheme comprises using at least one of a parallel hole collimator, a focused hole collimator, a slit-slat collimator, a rotating slat collimator, a multiple pinhole collimator, a coded aperture collimator, and a Compton scatter collimator. ### Claim 5 (depends on 1) The imaging method of claim 1, wherein the at least one tiled array of gamma detectors comprises tileable gamma photon detectors having an area less than 400 cm2. ### Claim 6 (depends on 1) The imaging method of claim 1, wherein the at least one tiled array of gamma detectors comprises at least one of: a scintillator with an optically-coupled photodetector and a semiconductor direct conversion detector. ### Claim 7 (depends on 1) The imaging method of claim 1, wherein the simulating an object comprises generating a simulated numerical distribution of a gamma emission radioactive material; wherein the modeling comprises modeling an imaging system and a data acquisition sequence, the imaging system comprising a means to move the gamma camera; and wherein the receiving a simulated data set comprises generating a simulated acquisition of imaging data using the simulated numeral distribution, the modeled imaging system, and the modeled data acquisition sequence and iteratively reconstructing the imaging data to obtain an imaged distribution. ### Claim 8 (depends on 1) The imaging method of claim 1, wherein the selecting a pattern comprises sparsely placing a gamma detector within the gamma camera and comprises using at least one scintillator gamma camera and at least one semiconductor gamma camera. ### Claim 9 (depends on 1) The imaging method of claim 1, wherein the selecting a pattern comprises removing at least one gamma detector from the at least one tiled array. ### Claim 10 (depends on 1) The imaging method of claim 1, wherein the selecting a pattern comprises removing at least one column or row of gamma detectors from the at least one tiled array. ### Claim 11 (depends on 1) The imaging method of claim 1, wherein the selecting a pattern comprises removing gamma detectors in a checkerboard pattern from the at least one tiled array. ### Claim 12 (depends on 1) The imaging method of claim 1, wherein the collimator has design parameters and wherein the selecting a collimator scheme comprises adjusting the collimator design parameters to affect at least one of efficiency and spatial resolution. ### Claim 13 (depends on 1) The imaging method of claim 1, further comprising a step of acquiring imaging data during a period of time, and wherein the identifying a gamma camera architecture comprises at least one of moving the gamma detector from a first detector position to a second detector position and moving the collimator from a first collimator position to a second collimator position during a period of acquiring imaging data. ### Claim 14 (depends on 1) The imaging method of claim 1, wherein the performance figure of merit comprises an efficiency divided by a product of spatial resolution squared and a gamma camera cost. ### Claim 15 A gamma camera, comprising: a collimator; at least one tiled array of gamma detectors; a memory device that stores instructions executable by the processor to: receive information regarding a gamma camera application, wherein the information identifies application requirements and performance requirements; design a gamma camera architecture for the gamma camera application, wherein the gamma camera architecture comprises at least one collimator scheme and a pattern of the at least one sparse tiled array of gamma detectors, wherein the at least one collimator scheme is selected from a plurality of collimator schemes, wherein the collimator scheme compensates for a gamma camera motion and missing detectors in the at least one sparse tiled array; the designing comprising: selecting a pattern of the at least one tiled array; simulating an object of the gamma camera application, wherein the object comprises at least one gamma emission source; modeling a response of the selected collimator scheme and selected pattern of the at least one tiled array to gamma emissions from the simulated object; receiving a simulated data set for the model and identifying a performance figure of merit for the model from the simulated data set; and identifying a gamma camera architecture for the gamma camera application by (i) iteratively performing the selecting a collimator scheme, selecting a pattern, simulating, modeling, and receiving by varying at least one of: collimator scheme and pattern, and (ii) selecting a gamma camera architecture for the gamma camera application based upon the performance figure of merit of the respective gamma camera architecture. ### Claim 16 (depends on 15) The gamma camera of claim 15, wherein at least one of the performance requirements defines an improvement of the performance figure of merit over a previous gamma camera architecture. ### Claim 17 (depends on 15) The gamma camera of claim 15, wherein the at least one tiled array of gamma detectors comprises at least one of a flat panel, a curved panel, a circular ring, and an elliptical ring. ### Claim 18 (depends on 15) The gamma camera of claim 15, wherein the collimator scheme comprises using at least one of a parallel hole collimator, a focused hole collimator, a slit-slat collimator, a rotating slat collimator, a multiple pinhole collimator, a coded aperture collimator, and a Compton scatter collimator. ### Claim 19 (depends on 15) The gamma camera of claim 15, wherein the at least one tiled array of gamma detectors comprises tileable gamma photon detectors having an area less than 400 cm2. ### Claim 20 (depends on 15) The gamma camera of claim 15, wherein the at least one tiled array of gamma detectors comprises at least one of: a scintillator with an optically-coupled photodetector and a semiconductor direct conversion detector. ### Claim 21 (depends on 15) The gamma camera of claim 15, wherein the simulating an object comprises generating a simulated numerical distribution of a gamma emission radioactive material; wherein the modeling comprises modeling an imaging system and a data acquisition sequence, the imaging system comprising a means to move the gamma camera; and wherein the receiving a simulated data set comprises generating a simulated acquisition of imaging data using the simulated numeral distribution, the modeled imaging system, and the modeled data acquisition sequence and iteratively reconstructing the imaging data to obtain an imaged distribution. ### Claim 22 (depends on 15) The gamma camera of claim 15, wherein the selecting a pattern comprises sparsely placing a gamma detector within the gamma camera and comprises using at least one scintillator gamma camera and at least one semiconductor gamma camera. ### Claim 23 (depends on 15) The gamma camera of claim 15, wherein the selecting a pattern comprises removing at least one gamma from the at least one tiled array. ### Claim 24 (depends on 15) The gamma camera of claim 15, wherein the selecting a pattern comprises removing at least one column or row of gamma detectors from the at least one tiled array. ### Claim 25 (depends on 15) The gamma camera of claim 15, wherein the selecting a pattern comprises removing gamma detectors in a checkerboard pattern from the at least one tiled array. ### Claim 26 (depends on 15) The gamma camera of claim 15, wherein the collimator has design parameters and wherein the selecting a collimator scheme comprises adjusting the collimator design parameters to affect at least one of efficiency and spatial resolution. ### Claim 27 (depends on 15) The gamma camera of claim 15, the camera capable of acquiring imaging data during a period of time, and wherein the identifying a gamma camera architecture comprises at least one of moving the gamma detector from a first detector position to a second detector position and moving the collimator from a first collimator position to a second collimator position during a period of acquiring imaging data. ### Claim 28 (depends on 15) The gamma camera of claim 15, wherein the performance figure of merit comprises an efficiency divided by a product of spatial resolution squared and a gamma camera cost.