1
|
Wang S, Pandey PK, Lee G, van Bergen RJP, Sun L, Xu Y, Xiang L. X-ray-induced acoustic computed tomography: 3D X-ray absorption imaging from a single view. SCIENCE ADVANCES 2024; 10:eads1584. [PMID: 39642225 PMCID: PMC11627201 DOI: 10.1126/sciadv.ads1584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 11/01/2024] [Indexed: 12/08/2024]
Abstract
Computed tomography (CT) scanners are essential for modern imaging but require around 600 projections from various angles. We present x-ray-induced acoustic computed tomography (XACT), a method that uses radiation-induced acoustic waves for three-dimensional (3D) x-ray imaging. These spherical acoustic waves travel through tissue at 1.5 × 103 meters per second, much slower than x-rays, allowing ultrasound detectors to capture them and generate 3D images without mechanical scanning. We validate this theory by performing 3D numerical reconstructions of a human breast from a single x-ray projection and experimentally determining 3D structures of objects at different depths. Achieving resolutions of 0.4 millimeters in the XZ plane and 3.5 millimeters in the XY plane at a depth of 16 millimeters, XACT demonstrates the ability to produce 3D images from one x-ray projection, reducing radiation exposure and enabling gantry-free imaging. XACT shows great promise for biomedical and nondestructive testing applications, potentially replacing conventional CT.
Collapse
Affiliation(s)
- Siqi Wang
- Department of Biomedical Engineering, University of California, Irvine, Irvine, USA
| | - Prabodh Kumar Pandey
- Department of Radiological Sciences, University of California, Irvine, Irvine, USA
| | - Gerald Lee
- Department of Biomedical Engineering, University of California, Irvine, Irvine, USA
| | | | - Leshan Sun
- Department of Biomedical Engineering, University of California, Irvine, Irvine, USA
| | - Yifei Xu
- Department of Biomedical Engineering, University of California, Irvine, Irvine, USA
| | - Liangzhong) Xiang
- Department of Biomedical Engineering, University of California, Irvine, Irvine, USA
- Department of Radiological Sciences, University of California, Irvine, Irvine, USA
- Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, USA
| |
Collapse
|
2
|
Gallardo D, Díaz LC, Albajez JA, Yagüe-Fabra JA. Progress toward the Definition of X-ray Computed Tomography Accuracy in the Characterization of Polymer-Based Lattice Structures. Polymers (Basel) 2024; 16:1419. [PMID: 38794612 PMCID: PMC11124775 DOI: 10.3390/polym16101419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/10/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
Lattice structures have become an innovative solution for the improvement of part design, as they are able to substitute solid regions, maintain mechanical capabilities, and reduce material usage; however, dimensional quality control of these geometries is challenging. X-ray computed tomography (XCT) is the most suitable non-destructive metrological technique as it is capable of characterizing internal features and hidden elements. Uncertainty estimation of XCT is still in development, and studies typically use high-resolution calibrated devices such as focal variation microscopes (FVMs) as a reference, focusing on certain parts of the lattice but not the whole structure. In this paper, an estimation of the accuracy of XCT evaluation of a complete lattice structure in comparison to a higher-resolution reference device (FVM) is presented. Experimental measurements are taken on ad hoc designed test objects manufactured in polyamide 12 (PA12) using selective laser sintering (SLS), optimized for the evaluation on both instruments using different cubic-based lattice typologies. The results confirm higher precision on XCT evaluation in both qualitative and quantitative analysis. Even with a lower resolution, XCT is able to characterize details of the surface such as re-entrant features; as well, standard deviations and uncertainties in strut diameter evaluation remain more stable in all cells in XCT, identifying on the other hand reconstruction problems on FVM measurements. Moreover, it is shown that, using XCT, no additional evaluation errors were found in inner cells, suggesting that the measurement of external elements could be representative of the whole structure for metrological purposes.
Collapse
Affiliation(s)
- Daniel Gallardo
- I3A, Universidad de Zaragoza, María de Luna 3, 50018 Zaragoza, Spain; (L.-C.D.); (J.A.A.); (J.A.Y.-F.)
| | | | | | | |
Collapse
|
3
|
Buchner TJK, Rogler S, Weirich S, Armati Y, Cangan BG, Ramos J, Twiddy ST, Marini DM, Weber A, Chen D, Ellson G, Jacob J, Zengerle W, Katalichenko D, Keny C, Matusik W, Katzschmann RK. Vision-controlled jetting for composite systems and robots. Nature 2023; 623:522-530. [PMID: 37968527 PMCID: PMC10651485 DOI: 10.1038/s41586-023-06684-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 09/27/2023] [Indexed: 11/17/2023]
Abstract
Recreating complex structures and functions of natural organisms in a synthetic form is a long-standing goal for humanity1. The aim is to create actuated systems with high spatial resolutions and complex material arrangements that range from elastic to rigid. Traditional manufacturing processes struggle to fabricate such complex systems2. It remains an open challenge to fabricate functional systems automatically and quickly with a wide range of elastic properties, resolutions, and integrated actuation and sensing channels2,3. We propose an inkjet deposition process called vision-controlled jetting that can create complex systems and robots. Hereby, a scanning system captures the three-dimensional print geometry and enables a digital feedback loop, which eliminates the need for mechanical planarizers. This contactless process allows us to use continuously curing chemistries and, therefore, print a broader range of material families and elastic moduli. The advances in material properties are characterized by standardized tests comparing our printed materials to the state-of-the-art. We directly fabricated a wide range of complex high-resolution composite systems and robots: tendon-driven hands, pneumatically actuated walking manipulators, pumps that mimic a heart and metamaterial structures. Our approach provides an automated, scalable, high-throughput process to manufacture high-resolution, functional multimaterial systems.
Collapse
Affiliation(s)
| | - Simon Rogler
- Soft Robotics Lab, D-MAVT, ETH Zurich, Zurich, Switzerland
| | - Stefan Weirich
- Soft Robotics Lab, D-MAVT, ETH Zurich, Zurich, Switzerland
| | - Yannick Armati
- Soft Robotics Lab, D-MAVT, ETH Zurich, Zurich, Switzerland
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
4
|
Tozzi G, Warnett J, Ahmed F. Preface to ToScA 2019 and ToScA 2020 special issue. J Microsc 2022; 285:119-120. [DOI: 10.1111/jmi.13092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Gianluca Tozzi
- School of Engineering London South Bank University London UK
| | - Jason Warnett
- International Manufacturing Centre, WMG University of Warwick Coventry UK
| | | |
Collapse
|