BACKGROUND Compared to the pulmonary lobe, the anatomical structure of the pulmonary segment is relatively complex and prone to variation, thus the risk and difficulty of segmentectomy is increased. We compared three-dimensional computed tomography bronchography and angiography (3D-CTBA) combined with 3D video-assisted thoracic surgery (3D-VATS) to perform segmentectomy to conventional two-dime...

BACKGROUND/AIMS The purpose of this study was to compare the diagnostic validity of two-dimensional (2D) and three-dimensional (3D) ultrasonography (US) when predicting the extrathyroidal extension of papillary thyroid cancer. METHODS All 2D data were interpreted in real time and 3D data were stored, rendered using tomographic ultrasound imaging (TUI), and then reviewed retrospectively. RES...

Multimodal 2D+3D face biometrics commonly report that performance improves relative to that of a single modality. Complete 2D and 3D data can be available during training because they are acquired in a controlled scenario. However, in the evaluation scenario, only partial 2D and 3D data can be acquired and hence available for recognition. In this paper we present experimental results that deter...

INTRODUCTION We compared the impact of two-dimensional (2D) versus three-dimensional (3D) visualization on both objective and subjective measures of laparoscopic performance using the validated Fundamentals of Laparoscopic Surgery (FLS) skill set. SUBJECTS AND METHODS Thirty-three individuals with varying laparoscopic experience completed three essential drills from the FLS skill set (peg tra...

There has been a debate on whether to use 2D or 3D deep neural networks for volumetric organ segmentation. Both 2D and 3D models have their advantages and disadvantages. In this paper, we present an alternative framework, which trains 2D networks on different viewpoints for segmentation, and builds a 3D Volumetric Fusion Net (VFN) to fuse the 2D segmentation results. VFN is relatively shallow a...

background: 3dcrt (three-dimensional conformal radiotherapy) and imrt (intensity-modulated radiotherapy) has provided us with tools to delineate the radiation dose distribution of tumor targets. however, the precision of radiation can be compromised by respiratory motion, which usually limits the geometric and dosimetric accuracy of radiotherapy. the purpose of this study is to evaluate the imp...

Conventionally, a 2D image can be captured by a camera, composed and painted by a 2-button mechanical mouse (a digital brush) with a digital palette. A 3D object can be modeled by 3D (translate, rotate, scale, transform) software or formulated by equation-based method. Be it 2D images or 3D objects, the result can be displayed on a 2D image on screen or print it on a given surface. The color an...

Many medical centers offer digital breast tomosynthesis (DBT) and 2D digital mammography acquired under the same compression (i.e., “Combo” examination) for screening. This paper compares a conventional 2D CAD algorithm (Hologic ImageChecker CAD v9.4) for calcification detection against a prototype 3D algorithm (Hologic ImageChecker 3D Calc CAD v1.0). Due to the newness of DBT, the development ...

The aims of this study were to investigate whether the preferred facial relationship chosen by professionals and the general public is Class I and to ascertain whether viewing two-dimensional (2D) or three-dimensional (3D) images had any effect on the ranking of facial attractiveness. Orthodontists (n = 47), maxillofacial surgeons (n = 25) and members of the general public (n = 78) assessed 2D ...

We present a group of methods for decomposing an arbitrary 3D volume rotation into a sequence of simple shear (i.e., regular shift) operations. We explore different types of shear operations: 2D beam shear, a shear in one coordinate based on the other two coordinates; 2D slice shear, a shear of a volume slice (in two coordinates) according to the third coordinate; and 2D slice–beam shear, the c...