Results 131 to 140 of about 1,826,590 (358)

Motor‐Free Soft Robots for Cancer Detection, Surgery, and In Situ Bioprinting

Advanced Healthcare Materials, EarlyView.
Novel motor‐free soft robots for cancer detection, surgery, and in situ bioprinting–are presented. This master‐slave system is constructed from soft fibrous syringe architectures, removing the need for electrical motors and complex control mechanisms, while reducing the physical tremors.
Chi Cong Nguyen, James Davies, Aditya Ashok, Trung Thien Hoang, Anahid Ehteda, Tran Bach Dang, Emanuele Nicotra, Hien A. Tran, Bibhu Sharma, Kefan Zhu, Phuoc Thien Phan, Adrienne Ji, Jingjing Wan, Jelena Rnjak‐Kovacina, Orazio Vittorio, Hoang‐Phuong Phan, Nigel Hamilton Lovell, Thanh Nho Do   +17 more
wiley   +1 more source

Deep learning CT reconstruction improves liver metastases detection

Insights into Imaging
Objectives Detection of liver metastases is crucial for guiding oncological management. Computed tomography through iterative reconstructions is widely used in this indication but has certain limitations.
Achraf Kanan, Bruno Pereira, Constance Hordonneau, Lucie Cassagnes, Eléonore Pouget, Léon Appolinaire Tianhoun, Benoît Chauveau, Benoît Magnin   +7 more
doaj   +1 more source

Tomographic task solution using a dichotomous discretization scheme in polar coordinates and partial system matrices invariant to rotations

Российский технологический журнал
Objectives. The purpose of this work was to create an effective iterative algorithm for the tomographic reconstruction of objects with large volumes of initial data.
A. А. Manushkin, N. N. Potrachov, A. V. Stepanov, E. Yu. Usachev   +3 more
doaj   +1 more source

Unmatched projector/backprojector pairs in an iterative reconstruction algorithm [PDF]

, 2000
Gengsheng L. Zeng, G.T. Gullberg
openalex   +1 more source

Iterative reconstruction with segmentation penalty for PET

Bio-Medical Materials and Engineering, 2015
Abstract Segmentation technique is widely accepted to reduce noise propagation from transmission scanning for positron emission tomography. The conventional routine is to sequentially perform reconstruction and segmentation. A smoothness penalty is also usually used to reduce noise, which can be imposed to both the ML and WLS estimators.
Yan Kang, Yaonan Zhang, Yueyang Teng
openaire   +4 more sources

Tri‐Layered Bioactive Cutaneous Scaffold with Integrated Bioactive Metal Organic Frameworks to Promote Full‐Thickness Infected Diabetic Wound Healing: Multifaceted Therapeutic Strategies

Advanced Healthcare Materials, EarlyView.
The limitations of existing clinical treatments highlight the need for a more comprehensive strategy for addressing infected diabetic wounds. A tri‐layered scaffold is developed to deliver therapeutics loaded in CuBDC and ZIF‐8 MOFs that are tailored to the requirements of deep‐infected diabetic wounds.
Ayse Gunyakti Mujtaba, Ayşe Karakeçili, Berna Topuz, Barış Batur, Okan Onar, Mehmet Eray Elçiğir, Çağdaş Oto, Alireza Hanifehnezhad, Kaan Orhan   +8 more
wiley   +1 more source

Iterative Methods for Sparse Signal Reconstruction from Level Crossings [PDF]

arXiv, 2016
This letter considers the problem of sparse signal reconstruction from the timing of its Level Crossings (LC)s. We formulate the sparse Zero Crossing (ZC) reconstruction problem in terms of a single 1-bit Compressive Sensing (CS) model. We also extend the Smoothed L0 (SL0) sparse reconstruction algorithm to the 1-bit CS framework and propose the Binary
arxiv  

Tomographic Reconstruction of Tracer Gas Concentration Profiles in a Room with the Use of a Single OP-FTIR and Two Iterative Algorithms: ART and PWLS [PDF]

, 2000
Doo Y. Park, Jeffrey A. Fessier, Michael G. Yost, Steven P. Levine   +3 more
openalex   +1 more source

Enhancing Ultrasound Power Transfer: Efficiency, Acoustics, and Future Directions

Advanced Materials, EarlyView.
Implantable devices significantly enhance healthcare but are limited by battery life. Ultrasound power transfer technology offers a promising solution for sustainable operation. This review addresses gaps in current research, particularly in sound field analysis and energy efficiency optimization.
Yi Zheng, Zhuomin Zhang, Yanhu Zhang, Qiqi Pan, Xiaodong Yan, Xuemu Li, Zhengbao Yang   +6 more
wiley   +1 more source

Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox [PDF]

arXiv, 2019
Tomographic image sizes keep increasing over time and while the GPUs that compute the tomographic reconstruction are also increasing in memory size, they are not doing so fast enough to reconstruct the largest datasets. This problem is often solved by reconstructing data in large clusters of GPUs with enough devices to fit the measured X-ray ...
arxiv