An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation.

IF 3.3 Q2 ENGINEERING, BIOMEDICAL
Berkay Kanberoglu, Dhritiman Das, Priya Nair, Pavan Turaga, David Frakes
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引用次数: 2

Abstract

Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past. When acquired images are comprised of signals that describe the flow velocity of fluids, additional information is available to guide the interpolation process. In this paper, we present an optical-flow based framework for image interpolation that also minimizes resultant divergence in the interpolated data.

Abstract Image

Abstract Image

Abstract Image

一种基于光流的最小发散速度数据插值方法。
三维(3D)生物医学图像集通常以远小于图像之间的平面外间距的平面内像素间距来获取。所产生的各向异性在许多应用中可能是有害的,可以使用图像插值来降低。光流和/或其他基于配准的插值器在过去已被证明在这种插值作用中是有用的。当采集的图像由描述流体流速的信号组成时,可以获得额外的信息来指导插值过程。在本文中,我们提出了一种基于光流的图像插值框架,该框架还最小化了插值数据中的结果发散。
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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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