Literature DB >> 35591048

Accuracy Report on a Handheld 3D Ultrasound Scanner Prototype Based on a Standard Ultrasound Machine and a Spatial Pose Reading Sensor.

Radu Chifor1, Tiberiu Marita2, Tudor Arsenescu3, Andrei Santoma2, Alexandru Florin Badea4, Horatiu Alexandru Colosi5, Mindra-Eugenia Badea1, Ioana Chifor1.   

Abstract

The aim of this study was to develop and evaluate a 3D ultrasound scanning method. The main requirements were the freehand architecture of the scanner and high accuracy of the reconstructions. A quantitative evaluation of a freehand 3D ultrasound scanner prototype was performed, comparing the ultrasonographic reconstructions with the CAD (computer-aided design) model of the scanned object, to determine the accuracy of the result. For six consecutive scans, the 3D ultrasonographic reconstructions were scaled and aligned with the model. The mean distance between the 3D objects ranged between 0.019 and 0.05 mm and the standard deviation between 0.287 mm and 0.565 mm. Despite some inherent limitations of our study, the quantitative evaluation of the 3D ultrasonographic reconstructions showed comparable results to other studies performed on smaller areas of the scanned objects, demonstrating the future potential of the developed prototype.

Entities:  

Keywords:  2D image segmentation; 3D ultrasonography; coordinate measuring machine; freehand 3D ultrasound scanner prototype; pose sensor; quantitative 3D reconstruction evaluation

Mesh:

Year:  2022        PMID: 35591048      PMCID: PMC9103853          DOI: 10.3390/s22093358

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  16 in total

1.  Breadth-first search and its application to image processing problems.

Authors:  J Silvela; J Portillo
Journal:  IEEE Trans Image Process       Date:  2001       Impact factor: 10.856

2.  Three-dimensional periodontal investigations using a prototype handheld ultrasound scanner with spatial positioning reading sensor.

Authors:  Radu Chifor; Mengxun Li; Kim-Cuong T Nguyen; Tudor Arsenescu; Ioana Chifor; Alexandru Florin Badea; Mindra Eugenia Badea; Mircea Hotoleanu; Paul W Major; Lawrence H Le
Journal:  Med Ultrason       Date:  2021-03-03       Impact factor: 1.611

3.  Low-cost Volumetric Ultrasound by Augmentation of 2D Systems: Design and Prototype.

Authors:  Carl D Herickhoff; Matthew R Morgan; Joshua S Broder; Jeremy J Dahl
Journal:  Ultrason Imaging       Date:  2017-07-08       Impact factor: 1.578

4.  Impression of Subgingival Dental Preparation Can Be Taken with Ultrasound.

Authors:  Juliana Marotti; Judith Broeckmann; Fabrice Chuembou Pekam; Luciano Praça; Klaus Radermacher; Stefan Wolfart
Journal:  Ultrasound Med Biol       Date:  2018-11-16       Impact factor: 2.998

5.  Accuracy of volume measurement using 3D ultrasound and development of CT-3D US image fusion algorithm for prostate cancer radiotherapy.

Authors:  Jihye Baek; Jangyoung Huh; Myungsoo Kim; So Hyun An; Yoonjin Oh; DongYoung Kim; Kwangzoo Chung; Sungho Cho; Rena Lee
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

6.  High-frequency ultrasound as an option for scanning of prepared teeth: an in vitro study.

Authors:  Fabrice Chuembou Pekam; Juliana Marotti; Stefan Wolfart; Joachim Tinschert; Klaus Radermacher; Stefan Heger
Journal:  Ultrasound Med Biol       Date:  2014-11-15       Impact factor: 2.998

7.  A Comparative Study on the Influence of Probe Placement on Quality Assurance Measurements in B-mode Ultrasound by Means of Ultrasound Phantoms.

Authors:  A Scorza; S Conforto; C D'Anna; S A Sciuto
Journal:  Open Biomed Eng J       Date:  2015-07-31

Review 8.  A Review on Real-Time 3D Ultrasound Imaging Technology.

Authors:  Qinghua Huang; Zhaozheng Zeng
Journal:  Biomed Res Int       Date:  2017-03-26       Impact factor: 3.411

9.  Trueness and precision of intraoral scanners in the maxillary dental arch: an in vivo analysis.

Authors:  Jonas Winkler; Nikolaos Gkantidis
Journal:  Sci Rep       Date:  2020-01-24       Impact factor: 4.379

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  1 in total

1.  Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality.

Authors:  Radu Chifor; Mircea Hotoleanu; Tiberiu Marita; Tudor Arsenescu; Mihai Adrian Socaciu; Iulia Clara Badea; Ioana Chifor
Journal:  Sensors (Basel)       Date:  2022-09-20       Impact factor: 3.847

  1 in total

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