Results 161 to 170 of about 3,164 (230)

Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To design a deep learning pipeline for automated, time‐resolved segmentation of the left atrium (LA) from 4D flow MRI data. Methods We studied 100 individuals including 65 patients with atrial fibrillation (AF) and 35 healthy subjects (HS) resulting in 2530 4D flow MRI time‐volumes acquired in different centers and scanners.
Jonas Leite, Tom Da‐Silva Faria, Marie Shannon Soulez, Khaoula Bouazizi, Perrine Marsac, Elie Mousseaux, Jérôme Lamy, Moussa Gueda Moussa, Olivier Piot, Jacques Feignoux, Daniel Giese, Nicolas Badenco, Estelle Gandjbakhch, Alban Redheuil, Mikaël Laredo, Emilie Bollache, Nadjia Kachenoura   +16 more
wiley   +1 more source

Minimally invasive surgical correction technique of Pectus Arcuatum, case report of an innovative method for a rare chest wall malformation (Jerusalem technique). [PDF]

Front Surg
Moshe D, Salhab A, Shimonov M, Abu Akar F.   +3 more
europepmc   +1 more source

“Two‐For‐One”: 4D Cardiac and Pulmonary MR Imaging From a Single Acquisition Using bSTAR

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To generate 4D (3D+time) images of both the heart and lungs using a single volumetric radial free‐breathing bSSFP dual echo acquisition (bSTAR) with two image reconstructions within a single pipeline deployed inline at 0.55 and 1.5 T.
Pierre Daudé, Jordan Taylor, Joseph W. Plummer, Rajiv Ramasawmy, Anastasia Tsakirellis, Joel Moss, W. Patricia Bandettini, Marcus Chen, Adrienne E. Campbell‐Washburn, Ahsan Javed   +9 more
wiley   +1 more source

Antiferroelectric polarization enabling physical activation in CuBiP₂Se₆ for medical image processing. [PDF]

Nat Commun
Lin Y, Yang D, Wang Z, Zhen W, Yu T, Xue F, Wei H, Sun L.   +7 more
europepmc   +1 more source

3D and 4D Free‐Breathing Abdominal T1‐Weighted MRI in Clinical Practice Using Deep Learning Auto‐Navigation and Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and evaluate an automated clinical prototype for a 1‐min free‐breathing T1‐weighted 3D MRI and a 2.25‐min 4D MRI utilizing radial k‐space acquisition and deep learning (DL) auto‐navigation and reconstruction. Methods The clinical prototype was deployed on 3 T GE Healthcare scanners, using the GE DISCO‐Star (radial golden ...
Victor Murray, Yan Wen, Subin Erattakulangara, Oguz Akin, Richard Do, Gerald Behr, Zhigang Zhang, Arnaud Guidon, Ricardo Otazo   +8 more
wiley   +1 more source

WISeRKNet: wide slice residual Kronecker network for lung cancer detection based on CT images. [PDF]

Sci Rep
Shanthi A, Satheesh Kumar S, Koppu S.
europepmc   +1 more source

Fast Localized Calibration for Spatial‐Spectral Excitation Without Fly‐Back Gradients

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Standard spatial‐spectral excitation pulses apply a fly‐back gradient between sub‐pulses, limiting, for example, how thin the slices can be (> 4 mm). Without fly‐back gradients, slices can be as thin as 1.7 mm but require a phase calibration for the sub‐pulses with inverted gradients due to system imperfections.
Michael Schär, Sandeep K. Ganji, Robert G. Weiss, Allison G. Hays   +3 more
wiley   +1 more source

Integrated Curriculum Enhancing Anatomical Publications at Geisinger Commonwealth School of Medicine. [PDF]

Cureus
Rajaram-Gilkes M, Barr K, Moglia T.
europepmc   +1 more source

Generation of Cloned Sheep Lacking Galactose-α1,3-Galactose and N-Glycolylneuraminic Acid Antigens. [PDF]

Xenotransplantation
Appleby SJ, Fermin LM, McLean ZL, Delaney S, Wagner S, Genova CD, Wei J, Meng F, Wells DN, Oback B.   +9 more
europepmc   +1 more source

Procrustean pseudo-landmark methods in Python to measure massive quantities of leaf shape data. [PDF]

Appl Plant Sci
Hightower A, Hall S, Urquidi Camacho R, Papamichail A, Adamski E, Colligan C, Deneen A, Dunn G, Haziza J, Henley C, Pawawongsak A, Simms L, Ward S, Balant M, Blackwood C, Cannon C, Case A, Husbands AY, Josephs EB, Migicovsky Z, Patterson E, Saavedra-Rojas YA, Chitwood DH.   +22 more
europepmc   +1 more source