AI Medical Compendium Topic:
Phantoms, Imaging

Clear Filters Showing 741 to 749 of 749 articles

Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.

Medical physics
PURPOSE: Aims in this study are to (1) develop a computational model observer which reliably tracks the detectability of human observers in low dose computed tomography (CT) images reconstructed with knowledge-based iterative reconstruction (IMR™, Ph...

SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.

Medical physics
PURPOSE: Accurate tumor delineation in positron emission tomography (PET) images is crucial in oncology. Although recent methods achieved good results, there is still room for improvement regarding tumors with complex shapes, low signal-to-noise rati...

Design and evaluation of a trilateral shared-control architecture for teleoperated training robots.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Multilateral teleoperated robots can be used to train humans to perform complex tasks that require collaborative interaction and expert supervision, such as laparoscopic surgical procedures. In this paper, we explain the design and performance evalua...

Shoulder-Mounted Robot for MRI-guided arthrography: Accuracy and mounting study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
A new version of our compact and lightweight patient-mounted MRI-compatible 4 degree-of-freedom (DOF) robot for MRI-guided arthrography procedures is introduced. This robot could convert the traditional two-stage arthrography procedure (fluoroscopy-g...

Robotic real-time translational and rotational head motion correction during frameless stereotactic radiosurgery.

Medical physics
PURPOSE: To develop a control system to correct both translational and rotational head motion deviations in real-time during frameless stereotactic radiosurgery (SRS).

A method for volumetric imaging in radiotherapy using single x-ray projection.

Medical physics
PURPOSE: It is an intriguing problem to generate an instantaneous volumetric image based on the corresponding x-ray projection. The purpose of this study is to develop a new method to achieve this goal via a sparse learning approach.

Neural-network based autocontouring algorithm for intrafractional lung-tumor tracking using Linac-MR.

Medical physics
PURPOSE: To develop a neural-network based autocontouring algorithm for intrafractional lung-tumor tracking using Linac-MR and evaluate its performance with phantom and in-vivo MR images.

[Derivation of the optimum exposure condition for Guthmann-method by the fuzzy measure theory].

Nihon Hoshasen Gijutsu Gakkai zasshi
The purpose of this study is to decide the optimum exposure condition of Guthmann-method by the fuzzy measure theory. The samples for the fuzzy measure theory were created using the pelvis-phantom irradiated with various tube voltages (90-120 kV) and...

An experimental feasibility study on robotic endonasal telesurgery.

Neurosurgery
BACKGROUND: Novel robots have recently been developed specifically for endonasal surgery. They can deliver several thin, tentacle-like surgical instruments through a single nostril. Among the many potential advantages of such a robotic system is the ...