The Marching Cubes paper by Bill Lorensen and Harvey Cline, "Marching Cubes: A High Resolution 3D Surface Construction Algorithm," was published at SIGGRAPH 1987.1 According to Google Scholar, their paper has 15,667 citations (as of January 17, 2020), the most highly cited paper in computer graphics. Sadly, while writing this article Bill Lorensen passed away on December 12, 2019. Origins Department Editor Chris Johnson contributed the text in italics. EARLY.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/MCG.2020.2971284 | DOI Listing |
Quant Imaging Med Surg
October 2024
International School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, China.
Background: Accurate delineation of knee bone boundaries is crucial for computer-aided diagnosis (CAD) and effective treatment planning in knee diseases. Current methods often struggle with precise segmentation due to the knee joint's complexity, which includes intricate bone structures and overlapping soft tissues. These challenges are further complicated by variations in patient anatomy and image quality, highlighting the need for improved techniques.
View Article and Find Full Text PDFGeometric Deep Learning has recently made striking progress with the advent of continuous deep implicit fields. They allow for detailed modeling of watertight surfaces of arbitrary topology while not relying on a 3D euclidean grid, resulting in a learnable parameterization that is unlimited in resolution. Unfortunately, these methods are often unsuitable for applications that require an explicit mesh-based surface representation because converting an implicit field to such a representation relies on the Marching Cubes algorithm, which cannot be differentiated with respect to the underlying implicit field.
View Article and Find Full Text PDFJ Appl Clin Med Phys
June 2024
Department of Ultrasound, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Purpose: A well display of the spatial location of thyroid nodules in the thyroid is important for surgical path planning and surgeon-patient communication. The aim of this study was to establish a three-dimensional (3D) reconstruction method of the thyroid gland, thyroid nodule, and carotid artery with automatic detection based on two-dimensional (2D) ultrasound videos, and to evaluate its clinical value.
Methods: Ultrasound videos, including the thyroid gland with nodule, isthmus of thyroid gland, and ipsilateral carotid artery, were recorded.
Proc IEEE Int Symp Biomed Imaging
April 2023
Department of Biomedical Engineering, Johns Hopkins School of Medicine, USA.
The meninges, located between the skull and brain, are composed of three membrane layers: the pia, the arachnoid, and the dura. Reconstruction of these layers can aid in studying volume differences between patients with neurodegenerative diseases and normal aging subjects. In this work, we use convolutional neural networks (CNNs) to reconstruct surfaces representing meningeal layer boundaries from magnetic resonance (MR) images.
View Article and Find Full Text PDFJ Mol Graph Model
January 2024
College of Electrical Engineering, Sichuan University, Chendu, Sichuan, 610065, China. Electronic address:
The quality of chiral environment (i.e. catalytic pocket) is directly related to the performance of chiral catalysts.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!