Breast segmentation in MR images using three-dimensional spiral scanning and dynamic programming

2013 ◽  
Author(s):  
Luan Jiang ◽  
Yanyun Lian ◽  
Yajia Gu ◽  
Qiang Li
2015 ◽  
Vol 22 (2) ◽  
pp. 139-148 ◽  
Author(s):  
José A. Rosado-Toro ◽  
Tomoe Barr ◽  
Jean-Philippe Galons ◽  
Marilyn T. Marron ◽  
Alison Stopeck ◽  
...  

2017 ◽  
Author(s):  
Dong Wei ◽  
Susan Weinstein ◽  
Meng-Kang Hsieh ◽  
Lauren Pantalone ◽  
Mitchell Schnall ◽  
...  

1992 ◽  
Vol 2 (2) ◽  
pp. 165-175 ◽  
Author(s):  
Christopher C. Moore ◽  
Walter G. O'Dell ◽  
Elliot R. McVeigh ◽  
Elias A. Zerhouni

1997 ◽  
Vol 38 (1) ◽  
pp. 173-175 ◽  
Author(s):  
K. Ito ◽  
J. Kato ◽  
S. Okada ◽  
T. Kumazaki

Purpose: In three-dimensional (3-D) contrast MR angiography, temporal misregistration between the data acquisition period and the arrival of the contrast agent in the target vessels is thought to degrade the quality of the reconstructed images. The purpose of this study was to demonstrate and investigate this effect in phantom experiments. Material and Methods: MR images of a phantom tube were evaluated with flowing materials of water or Gd-DTPA solution by changing from water to Gd-DTPA solution halfway through the data acquisition period. Results: While no signal could be acquired with a stream of water in the tube, a clear signal was obtained with a flow of Gd-DTPA solution. Blurring and ghost artifacts surrounding the tube along the phase-encoding direction were observed when the flowing material was changed from water to Gd-DTPA solution halfway through the data acquisition period. Conclusion: K-space filter effect occurs during 3-D contrast MR angiography owing to the transient passage of the contrast agent, and this effect causes spatial artifacts in the reconstructed images.


2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 58-59
Author(s):  
Tatsuro Nakamura ◽  
Hisashi Shinohara ◽  
Tomoaki Okada ◽  
Shigeo Hisamori ◽  
Shigeru Tsunoda ◽  
...  

Abstract Background The infracardiac bursa (ICB), the closed space encountered in the esophagogastric junction (EGJ) surgery, is rarely described in anatomical atlases. The purpose of the study is to link surgery to embryology and propose the new anatomical chart including the ICB. Methods Histological serial sections of Carnegie stages (CS) 13–23 embryos and magnetic resonance (MR) images of the fetus with 43.5 mm crown-rump length from the Kyoto Collection of Human Embryos were examined for embryological changes in the ICB. Seventy-four surgery videos of laparoscopic and thoracoscopic esophagectomy were reviewed to investigate the appearance of the ICB and frequency of the recognition in surgery. Results The right pneumato-enteric recess appeared in CS13 embryos and the ICB was separated from the recess by the development of the diaphragm between CS17 and CS18 embryos and established as a closed space up until CS23. The three-dimensional reconstruction of fetus MR images showed the ICB was located adjacent nearly one third around the esophagus above the right crus. The ICB was clinically encountered in 12 of 14 (86%) transhiatal surgeries and 23 of 60 (38%) thoracic surgeries. Via the transhiatal approach, the caudal edge of the ICB appeared as a thick whitish membrane after the dissection of the phrenico-esophageal ligament and a closed space enveloped with a serosa was opened by the incision of the membrane. Via the right thoracic approach, the ICB appeared on the right crus after the dissection of the pulmonary ligament. Conclusion We described a new chart around EGJ including the ICB based on embryology. This anatomical chart can contribute to promote accuracy and safety of operating procedures around the EGJ. Disclosure All authors have declared no conflicts of interest.


2015 ◽  
pp. 1319-1332
Author(s):  
Juan A. Juanes ◽  
Pablo Ruisoto ◽  
Alberto Prats-Galino ◽  
Andrés Framiñán

The aim of this paper is to demonstrate the major role and potential of three of the most powerful open source computerized tools for the advanced processing of medical images, in the study of neuroanatomy. DICOM images were acquired with radiodiagnostic equipment using 1.5 Tesla Magnetic Resonance (MR) images. Images were further processed using the following applications: first, OsiriXTM version 4.0 32 bits for OS; Second, 3D Slicer version 4.3; and finally, MRIcron, version 6. Advanced neuroimaging processing requires two key features: segmentation and three-dimensional or volumetric reconstruction. Examples of identification and reconstruction of some of the most complex neuroimaging elements such vascular ones and tractographies are included in this paper. The three selected applications represent some of the most versatile technologies within the field of medical imaging.


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