Three-dimensional blind deconvolution of ultrasound images

2001 ◽  
Vol 48 (4) ◽  
pp. 867-871 ◽  
Author(s):  
T. Taxt
Keyword(s):  
Blind Deconvolution ◽  
Three Dimensional ◽  
Ultrasound Images

scholarly journals Deep learning‐based carotid media‐adventitia and lumen‐intima boundary segmentation from three‐dimensional ultrasound images

2019 ◽  
Vol 46 (7) ◽  
pp. 3180-3193 ◽  
Author(s):  
Ran Zhou ◽  
Aaron Fenster ◽  
Yujiao Xia ◽  
J. David Spence ◽  
Mingyue Ding
Keyword(s):  
Deep Learning ◽  
Three Dimensional ◽  
Ultrasound Images

Robotic motion compensation for bone movement, using ultrasound images

2015 ◽  
Vol 42 (5) ◽  
pp. 466-474 ◽  
Author(s):  
P.M.B. Torres ◽  
P. J. S. Gonçalves ◽  
J.M.M. Martins
Keyword(s):  
Motion Compensation ◽  
Optical Measurement ◽  
Three Dimensional ◽  
Point Clouds ◽  
Robotic System ◽  
Ultrasound Images ◽  
Bone Drilling ◽  
Content Type ◽  
3D Point Clouds ◽  
Robotic Motion

Purpose – The purpose of this paper is to present a robotic motion compensation system, using ultrasound images, to assist orthopedic surgery. The robotic system can compensate for femur movements during bone drilling procedures. Although it may have other applications, the system was thought to be used in hip resurfacing (HR) prosthesis surgery to implant the initial guide tool. The system requires no fiducial markers implanted in the patient, by using only non-invasive ultrasound images. Design/methodology/approach – The femur location in the operating room is obtained by processing ultrasound (USA) and computer tomography (CT) images, obtained, respectively, in the intra-operative and pre-operative scenarios. During surgery, the bone position and orientation is obtained by registration of USA and CT three-dimensional (3D) point clouds, using an optical measurement system and also passive markers attached to the USA probe and to the drill. The system description, image processing, calibration procedures and results with simulated and real experiments are presented and described to illustrate the system in operation. Findings – The robotic system can compensate for femur movements, during bone drilling procedures. In most experiments, the update was always validated, with errors of 2 mm/4°. Originality/value – The navigation system is based entirely on the information extracted from images obtained from CT pre-operatively and USA intra-operatively. Contrary to current surgical systems, it does not use any type of implant in the bone to track the femur movements.

Real-time nonlinear filtration for three-dimensional ultrasound images distorted by noise

2006 ◽  
Vol 51 (6) ◽  
pp. 304-310 ◽  
Author(s):  
V. F. Kravchenko ◽  
V. I. Ponomaryov ◽  
V. I. Pustovoĭt ◽  
R. Sansores-Pech
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Nonlinear Filtration ◽  
Ultrasound Images

scholarly journals Minimally interactive placenta segmentation from three-dimensional ultrasound images

2020 ◽  
Vol 7 (01) ◽  
pp. 1
Author(s):  
Ipek Oguz ◽  
Natalie Yushkevich ◽  
Alison Pouch ◽  
Baris U. Oguz ◽  
Jiancong Wang ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Ultrasound Images

scholarly journals Prenatal Sonographic Image of Sirenomelia with Anencephaly and Craniorachischisis Totalis

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Takako Sugiura ◽  
Yuka Sato ◽  
Naoyuki Nakanami ◽  
Kiyomi Tsukimori
Keyword(s):  
Ultrasound Examination ◽  
Color Doppler ◽  
Three Dimensional ◽  
Final Diagnosis ◽  
Color Doppler Ultrasound ◽  
Lower Limbs ◽  
Ultrasound Images ◽  
Two Dimensional ◽  
Prenatal Counselling ◽  
Medical Termination

Sirenomelia is a rare congenital malformation characterized by varying degrees of fusion of the lower extremities. It is commonly associated with severe urogenital and gastrointestinal malformations; however, the association of sirenomelia with anencephaly and rachischisis totalis is extremely rare. To our knowledge, the prenatal sonographic images of this association have not been previously published. Here, we present prenatal sonographic images of this association, detected during the 17th week of gestation through combined two-dimensional, four-dimensional, and color Doppler ultrasound. Two-dimensional ultrasound images showed anencephaly, spina bifida, and possible fusion of the lower limbs. Three-dimensional HDlive rendering images confirmed the final diagnosis of sirenomelia with anencephaly and rachischisis totalis. The patient opted to undergo medical termination of pregnancy and delivered a fetus with fused lower limbs, anencephaly, and rachischisis totalis confirming the in utero imaging findings. Awareness of these rare associations will help avoid misdiagnoses and facilitate prenatal counselling. This case highlights the importance of a thorough ultrasound examination.

Nipple Deformation and Peripheral Pressure on the Areola During Breastfeeding

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Diana Alatalo ◽  
Lin Jiang ◽  
Donna Geddes ◽  
Fatemeh Hassanipour
Keyword(s):  
Three Dimensional ◽  
Pressure Profile ◽  
Strain Ratio ◽  
Positive Pressure ◽  
Ultrasound Images ◽  
Areola Complex ◽  
Oral Pressure ◽  
Maxilla And Mandible ◽  
3D Scans

Abstract Breastfeeding is a complex process where the infant utilizes two forms of pressure during suckling, vacuum and compression. Infant applied compression, or positive oral pressure, to the breast has not been previously studied in vivo. The goal of this study is to use a methodology to capture the positive oral pressure values exerted by infants' maxilla (upper jaw) and mandible (lower jaw) on the breast areola during breastfeeding. In this study, the positive and negative (vacuum) pressure values are obtained simultaneously on six lactating mothers. Parallel to the pressure data measurements, ultrasound images are captured and processed to reveal the nipple deformations and the displacements of infants' tongues and jaw movements during breastfeeding. Motivated by the significant differences in composition between the tissue of the breast and the nipple–areola complex, the strain ratio values of the lactating nipples are obtained using these deformation measurements along with pre- and postfeed three-dimensional (3D) scans of the breast. The findings show an oscillatory positive pressure profile on the breast under both maxilla and mandible, which differs from clinical indications that only the mandible of an infant moves during breastfeeding. The strain ratio varies between mothers, which indicates volume changes in the nipple during feeding and suggests that previous assumptions regarding strain ratio for nonlactating breasts will not accurately apply to breast tissue during lactation.

A navigation system for shoulder arthroscopic surgery

2007 ◽  
Vol 221 (7) ◽  
pp. 801-812 ◽  
Author(s):  
K Tyryshkin ◽  
P Mousavi ◽  
M Beek ◽  
R E Ellis ◽  
D R Pichora ◽  
...  
Keyword(s):  
Navigation System ◽  
Shoulder Arthroscopy ◽  
Dimensional Space ◽  
Arthroscopic Surgery ◽  
Three Dimensional ◽  
Surgical Instruments ◽  
Surface Model ◽  
Ultrasound Images ◽  
Computed Tomography Images ◽  
Three Dimensional Models

The general framework and experimental validation of a novel navigation system designed for shoulder arthroscopy are presented. The system was designed to improve the surgeon's perception of the three-dimensional space within the human shoulder. Prior to surgery, a surface model of the shoulder was created from computed tomography images. Intraoperatively optically tracked arthroscopic instruments were calibrated. The surface model was then registered to the patient using tracked freehand ultrasound images taken from predefined landmark regions on the scapula. Three-dimensional models of the surgical instruments were displayed, in real time, relative to the surface model in a user interface. Laboratory experiments revealed only small registration and calibration errors, with minimal time needed to complete the intraoperative tasks.

Semiautomatic three-dimensional segmentation of the prostate using two-dimensional ultrasound images

2003 ◽  
Vol 30 (5) ◽  
pp. 887-897 ◽  
Author(s):  
Yunqiu Wang ◽  
H. Neale Cardinal ◽  
Donal B. Downey ◽  
Aaron Fenster
Keyword(s):  
Three Dimensional ◽  
Ultrasound Images ◽  
Two Dimensional ◽  
Three Dimensional Segmentation
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