Voice actors imitating child speech: A study using 3D ultrasound

2019 ◽  
Vol 145 (3) ◽  
pp. 1930-1930
Author(s):  
Colette Feehan ◽  
Steven M. Lulich
Keyword(s):  
3D Ultrasound ◽  
Child Speech

Placental volume measurement by 3D-ultrasound in the first trimester and prediction of fetal growth

2008 ◽  
Vol 68 (S 01) ◽  
Author(s):  
B Meurer ◽  
B Meurer ◽  
N Dinkel ◽  
N Hart ◽  
J Siemer ◽  
...  
Keyword(s):  
Fetal Growth ◽  
First Trimester ◽  
3D Ultrasound ◽  
Volume Measurement ◽  
Placental Volume

Non-referential gestures in adult and child speech: Are they prosodic?

2016 ◽  
Author(s):  
Stefanie Shattuck-Hufnagel ◽  
Ada Ren ◽  
Mili Mathew ◽  
Ivan Yuen ◽  
Katherine Demuth
Keyword(s):  
Child Speech

scholarly journals Three-dimensional ultrasound for knee osteophyte depiction: a comparative study to computed tomography

2021 ◽  
Author(s):  
Valeria Vendries ◽  
Tamas Ungi ◽  
Jordan Harry ◽  
Manuela Kunz ◽  
Jana Podlipská ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Automatic Segmentation ◽  
Three Dimensional ◽  
3D Ultrasound ◽  
Surgical Interventions ◽  
Structured Light Scanner ◽  
Joint Surfaces ◽  
Operative Planning ◽  
Rms Error ◽  
Tissue Characteristics

Abstract Purpose Osteophytes are common radiographic markers of osteoarthritis. However, they are not accurately depicted using conventional imaging, thus hampering surgical interventions that rely on pre-operative images. Studies have shown that ultrasound (US) is promising at detecting osteophytes and monitoring the progression of osteoarthritis. Furthermore, three-dimensional (3D) ultrasound reconstructions may offer a means to quantify osteophytes. The purpose of this study was to compare the accuracy of osteophyte depiction in the knee joint between 3D US and conventional computed tomography (CT). Methods Eleven human cadaveric knees were pre-screened for the presence of osteophytes. Three osteoarthritic knees were selected, and then, 3D US and CT images were obtained, segmented, and digitally reconstructed in 3D. After dissection, high-resolution structured light scanner (SLS) images of the joint surfaces were obtained. Surface matching and root mean square (RMS) error analyses of surface distances were performed to assess the accuracy of each modality in capturing osteophytes. The RMS errors were compared between 3D US, CT and SLS models. Results Average RMS error comparisons for 3D US versus SLS and CT versus SLS models were 0.87 mm ± 0.33 mm (average ± standard deviation) and 0.95 mm ± 0.32 mm, respectively. No statistical difference was found between 3D US and CT. Comparative observations of imaging modalities suggested that 3D US better depicted osteophytes with cartilage and fibrocartilage tissue characteristics compared to CT. Conclusion Using 3D US can improve the depiction of osteophytes with a cartilaginous portion compared to CT. It can also provide useful information about the presence and extent of osteophytes. Whilst algorithm improvements for automatic segmentation and registration of US are needed to provide a more robust investigation of osteophyte depiction accuracy, this investigation puts forward the potential application for 3D US in routine diagnostic evaluations and pre-operative planning of osteoarthritis.

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