SBIR-STTR Award

A two-dimensional antiscatter grid for dental cone beam computed tomography
Award last edited on: 4/7/2022

Sponsored Program
STTR
Awarding Agency
NIH : NIDCR
Total Award Amount
$196,573
Award Phase
1
Solicitation Topic Code
121
Principal Investigator
Cem Altunbas

Company Information

M2 Technologies LLC

3443 Beeler Street
Denver, CO 80238
   (832) 755-9304
   N/A
   www.m2-technologies.com

Research Institution

University of Colorado - Denver

Phase I

Contract Number: 1R41DE030039-01A1
Start Date: 9/21/2021    Completed: 9/21/2022
Phase I year
2021
Phase I Amount
$196,573
Cone beam computed tomography (CBCT) is a commonly used 3D x-ray imaging modality in dental and craniofacial imaging. While CBCT is primarily employed in evaluating bony anatomy in 3D, soft tissues are often poorly visualized in dental CBCT images. Moreover, tissue densities cannot be extracted accurately from CBCT images. The main culprit behind this problem is scattered radiation. Scattered x-rays emanating from the patient are registered by the x-ray sensor, severely degrading the fidelity of image signals. Thus, in this project, we propose a novel two-dimensional antiscatter grid (2D grid) to substantially improve the dental CBCT image quality. Our proposed 2D grid will attenuate scattered x-rays effectively, while transmitting primary, or useful, x-rays to the image sensor. Once successfully implemented, our 2D grid will provide significantly improved soft tissue visualization, accurate bone density measurement, and will reduce image artifacts. Alternatively, our 2D grid can reduce imaging radiation dose while providing comparable contrast-to- noise ratio with respect to current dental CBCT images. To implement our proposed 2D grid technology, (1) we will investigate the optimal physical characteristics of 2D grids to achieve effective scatter suppression and high primary transmission. (2) We will evaluate the improvement in CBCT image quality provided by 2D grid in phantom imaging experiments. Public Health Relevance Statement Project narrative While cone beam computed tomography (CBCT) is the most commonly used 3D imaging modality in dentistry, its utilization is hampered by its poor image quality. The main culprit behind this problem is the high intensity of scattered radiation inherent to CBCT systems. In this project, we propose a novel device and associated data correction methods to suppress scattered radiation, and improve image quality in dental CBCT.

Project Terms:
absorption ; Affect ; Algorithms ; Anatomy ; Anatomic ; Anatomic Sites ; Anatomic structures ; Anatomical Sciences ; Bone Density ; Bone Mineral Density ; Dentistry ; Growth ; Generalized Growth ; Tissue Growth ; ontogeny ; Metals ; Methods ; Noise ; Patients ; Radiation therapy ; Radiotherapeutics ; Radiotherapy ; radiation treatment ; radio-therapy ; treatment with radiation ; Radiation Scattering ; Signal Transduction ; Cell Communication and Signaling ; Cell Signaling ; Intracellular Communication and Signaling ; Signal Transduction Systems ; Signaling ; biological signal transduction ; Technology ; Dental Technology ; Thinness ; Leanness ; Time ; Tissues ; Body Tissues ; X-Ray Computed Tomography ; CAT scan ; CT X Ray ; CT Xray ; CT imaging ; CT scan ; Computed Tomography ; Tomodensitometry ; X-Ray CAT Scan ; X-Ray Computerized Tomography ; Xray CAT scan ; Xray Computed Tomography ; Xray computerized tomography ; catscan ; computed axial tomography ; computer tomography ; computerized axial tomography ; computerized tomography ; Work ; Diagnostic radiologic examination ; Conventional X-Ray ; Diagnostic Radiology ; Diagnostic X-Ray ; Diagnostic X-Ray Radiology ; Radiography ; Roentgenography ; X-Ray Imaging ; X-Ray Medical Imaging ; Xray imaging ; Xray medical imaging ; conventional Xray ; diagnostic Xray ; diagnostic Xray radiology ; Roentgen Rays ; X-Radiation ; X-Ray Radiation ; X-ray ; Xray ; Measures ; Morphologic artifacts ; Artifacts ; base ; density ; detector ; sensor ; improved ; Site ; Residual state ; Residual ; Phase ; soft tissue ; Dental ; Measurement ; Imaging Phantoms ; Attenuated ; Diagnostic ; machine learned ; Machine Learning ; Source ; System ; 3-D ; 3D ; three dimensional ; 3-Dimensional ; Operative Procedures ; Surgical ; Surgical Interventions ; Surgical Procedure ; surgery ; Operative Surgical Procedures ; Radiation Dose ; Radiation Dose Unit ; craniofacies ; craniofacial ; physical property ; novel ; novel technologies ; new technology ; Devices ; 3-D Imaging ; 3D imaging ; Three-Dimensional Imaging ; Manufacturer ; Manufacturer Name ; image-based method ; imaging method ; imaging modality ; Address ; Dose ; Data ; Resolution ; transmission process ; Transmission ; Characteristics ; Image ; imaging ; cone-beam computed tomography ; cone-beam CT ; volume CT ; volume computed tomography ; volumetric computed tomography ; cost ; design ; designing ; Implant ; two-dimensional ; 2-dimensional ; prototype ; clinical practice ; 3D Print ; 3-D print ; 3-D printer ; 3D printer ; 3D printing ; three dimensional printing ; Geometry ; Cone ; experimental study ; experiment ; experimental research ; clinical decision support ; preservation ; clinical implementation ; patient variability ; patient variation ; variability between patients ; variation between patients ; imager ; Visualization ; machine learning method ; machine learning methodologies ;

Phase II

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