Background And Objectives: Directional leads have garnered widespread use in deep brain stimulation (DBS) because of the ability to steer current and maximize the therapeutic window. Accurate identification of lead orientation is critical to effective programming. Although directional markers are visible on 2-dimensional imaging, precise orientation may be difficult to interpret. Recent studies have suggested methods of determining lead orientation, but these involve advanced intraoperative imaging and/or complex computational algorithms. Our objective is to develop a precise and reliable method of determining orientation of directional leads using conventional imaging techniques and readily available software.
Methods: We examined postoperative thin-cut computed tomography (CT) scans and x-rays of patients who underwent DBS with directional leads from 3 vendors. Using commercially available stereotactic software, we localized the leads and planned new trajectories precisely overlaying the leads visualized on CT. We used trajectory view to locate the directional marker in a plane orthogonal to the lead and inspected the streak artifact. We then validated this method with a phantom CT model by acquiring thin-cut CT images orthogonal to 3 different leads in various orientations confirmed under direct visualization.
Results: The directional marker creates a unique streak artifact that reflects the orientation of the directional lead. There is a hyperdense symmetric streak artifact parallel to the axis of the directional marker and a symmetric hypodense dark band orthogonal to the marker. This is often sufficient to infer the direction of the marker. If not, it at least renders 2 opposite possibilities for the direction of the marker, which can then be easily reconciled by comparison with x-ray images.
Conclusion: We propose a method to determine orientation of directional DBS leads in a precise manner on conventional imaging and readily available software. This method is reliable across DBS vendors, and it can simplify this process and aid in effective programming.
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http://dx.doi.org/10.1227/neu.0000000000002536 | DOI Listing |
Med Image Anal
December 2024
School of Physics, Beihang University, Beijing, China; Hangzhou International Innovation Institute, Beihang University, Hangzhou, China; Tianmushan Laboratory, Hangzhou, China. Electronic address:
Computed tomography (CT) is continuously becoming a valuable diagnostic technique in clinical practice. However, the radiation dose exposure in the CT scanning process is a public health concern. Within medical diagnoses, mitigating the radiation risk to patients can be achieved by reducing the radiation dose through adjustments in tube current and/or the number of projections.
View Article and Find Full Text PDFCureus
November 2024
Department of Cardiovascular Surgery, Tokyo Bay Urayasu Ichikawa Medical Center, Urayasu, JPN.
Contrast-enhanced CT is a primary tool in emergency departments for diagnosing acute aortic dissection, demonstrating high sensitivity and specificity. However, artifacts such as streak artifacts can mimic aortic dissection, leading to misdiagnosis. Here, we report a case involving a 21-year-old male who sustained traumatic injuries after a motor vehicle accident.
View Article and Find Full Text PDFMicron
December 2024
Department of Physics, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway. Electronic address:
The separation of diffraction effects from phase contrast is a major challenge for differential phase contrast (DPC) imaging in scanning transmission electron microscopy (STEM). The application of electron beam precession has previously been proven successful in homogenizing the direct beam and improving the imaging of both long-range electric and magnetic fields. However, magnetic STEM-DPC imaging performed in a low magnification (LM) STEM mode suffers from significant aberrations of the probe forming lens and the consequent impediment of small precession angles.
View Article and Find Full Text PDFAm J Vet Res
December 2024
Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California-Davis, Davis, CA.
Objective: To investigate and establish a protocol for 18F-sodium fluoride (18F-NaF) PET scan imaging in Amazon parrots for atherosclerosis diagnosis.
Methods: In this feasibility proof-of-concept study, 18F-NaF μPET scan and μCT scan were obtained on Hispaniolan (Amazona ventralis) and orange-winged Amazon parrots (A amazonica). A different μPET scan protocol was used for each species.
Biomed Phys Eng Express
December 2024
Department of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States of America.
. Previous work has that deep learning (DL)-enhanced 4D cone beam computed tomography (4D-CBCT) images improve motion modeling and subsequent motion-compensated (MoCo) reconstruction for 4D-CBCT. However, building the motion model at treatment time via conventional deformable image registration (DIR) methods is not temporally feasible.
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