Abstract：
:Radiofrequency ablation (RFA) is an established treatment for liver cancer when resection is not possible. Yet, its optimal delivery is challenged by the presence of large blood vessels and the time-varying thermal conductivity of biological tissue. Incomplete treatment and an increased risk of recurrence are therefore common. A tool that would enable the accurate planning of RFA is hence necessary. This manuscript describes a new method to compute the extent of ablation required based on the Lattice Boltzmann Method (LBM) and patient-specific, pre-operative images. A detailed anatomical model of the liver is obtained from volumetric images. Then a computational model of heat diffusion, cellular necrosis, and blood flow through the vessels and liver is employed to compute the extent of ablated tissue given the probe location, ablation duration and biological parameters. The model was verified against an analytical solution, showing good fidelity. We also evaluated the predictive power of the proposed framework on ten patients who underwent RFA, for whom pre- and post-operative images were available. Comparisons between the computed ablation extent and ground truth, as observed in postoperative images, were promising (DICE index: 42%, sensitivity: 67%, positive predictive value: 38%). The importance of considering liver perfusion while simulating electrical-heating ablation was also highlighted. Implemented on graphics processing units (GPU), our method simulates 1 minute of ablation in 1.14 minutes, allowing near real-time computation.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Audigier C,Mansi T,Delingette H,Rapaka S,Mihalef V,Carnegie D,Boctor E,Choti M,Kamen A,Ayache N,Comaniciu Ddoi
10.1109/TMI.2015.2406575subject
Has Abstractpub_date
2015-07-01 00:00:00pages
1576-1589issue
7eissn
0278-0062issn
1558-254Xjournal_volume
34pub_type
杂志文章abstract：:We investigate using dual time-point PET data to perform Patlak modeling. This approach can be used for whole body dynamic PET studies in which we compute voxel-wise estimates of Patlak parameters using two frames of data for each bed position. Our approach directly uses list-mode arrival times for each event to estim...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2014.2298868
更新日期：2014-04-01 00:00:00
abstract：:Magnetic Resonance-Electrical Properties Tomography (MR-EPT) is an imaging modality that maps the spatial distribution of the electrical conductivity and permittivity using standard MRI systems. The presence of a body within the scanner alters the RF field, and by mapping these alterations it is possible to recover th...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2015.2466082
更新日期：2016-01-01 00:00:00
abstract：:In single photon emission computed tomography (SPECT), every reconstruction algorithm must use some model for the response of the gamma camera to emitted gamma-rays. The true camera response is both spatially variant and object dependent. These two properties result from the effects of scatter, septal penetration, and...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.126914
更新日期：1992-01-01 00:00:00
abstract：:An overview of the Shinnar-Le Roux (SLR) algorithm is presented. It is shown how the performance of SLR pulses can be very accurately specified analytically. This reveals how to design a pulse that produces a specified slice profile and allows the pulse designer to trade off analytically the parameters describing the ...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.75611
更新日期：1991-01-01 00:00:00
abstract：:This paper presents a virtual tagging framework for measuring, as well as visualising, myocardial deformation using magnetic resonance (MR) velocity imaging. Tagging grids are allocated artificially according to the deformation gradient with varying shapes and densities. The control points are then deformed such that ...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2002.804429
更新日期：2002-09-01 00:00:00
abstract：:The segmentation of the human airway tree from volumetric computed tomography (CT) images builds an important step for many clinical applications and for physiological studies. Previously proposed algorithms suffer from one or several problems: leaking into the surrounding lung parenchyma, the need for the user to man...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2005.857654
更新日期：2005-12-01 00:00:00
abstract：:We present a fast parallel algorithm to compute the nonequispaced fast Fourier transform on commodity graphics hardware (the GPU). We focus particularly on a novel implementation of the convolution step in the transform as it was previously its most time consuming part. We describe the performance for two common sampl...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2007.909834
更新日期：2008-04-01 00:00:00
abstract：:The existence of diverse image datasets accompanied by reference annotations is a crucial prerequisite for an objective benchmarking of bioimage analysis methods. Nevertheless, such a prerequisite is hard to satisfy for time lapse, multidimensional fluorescence microscopy image data, manual annotations of which are la...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2018.2845884
更新日期：2018-12-01 00:00:00
abstract：:Visual estimation of coronary obstruction severity from angiograms suffers from poor inter- and intraobserver reproducibility and is often inaccurate. In spite of the widely recognized limitations of visual analysis, automated methods have not found widespread clinical use, in part because they too frequently fail to ...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.370412
更新日期：1995-01-01 00:00:00
abstract：:Three-dimensional (3-D) reconstructions of coronary bypass grafts performed from X-ray angiographic images may become increasingly important for the investigation of damaging mechanical stresses imposed to these vessels by the cyclic movement of the heart. Contrary to what we had experienced with coronary arteries, ap...
journal_title：IEEE transactions on medical imaging
pub_type： 信件
doi：10.1109/42.875203
更新日期：2000-07-01 00:00:00
abstract：:A good statistical model of speckle formation is useful for designing a good adaptive filter for speckle reduction In ultrasound B-scan images. Previously, statistical models have been used, but they failed to account for the log compression of the echo envelope employed by clinical ultrasound systems. Log-compression...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.544498
更新日期：1996-01-01 00:00:00
abstract：:Recently, deep neural networks have been widely and successfully applied in computer vision tasks and have attracted growing interest in medical imaging. One barrier for the application of deep neural networks to medical imaging is the need for large amounts of prior training pairs, which is not always feasible in cli...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2018.2888491
更新日期：2019-07-01 00:00:00
abstract：:We present and validate a novel registration algorithm mapping two data sets, generated from a rigid object, in the presence of Gaussian noise. The proposed method is based on the Unscented Kalman Filter (UKF) algorithm that is generally employed for analyzing nonlinear systems corrupted by additive Gaussian noise. Fi...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/tmi.2007.901984
更新日期：2007-12-01 00:00:00
abstract：:The expectation maximization method for maximum likelihood image reconstruction in emission tomography, based on the Poisson distribution of the statistically independent components of the image and measurement vectors, is extended to a maximum aposteriori image reconstruction using a multivariate Gaussian a priori pr...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.1987.4307826
更新日期：1987-01-01 00:00:00
abstract：:The Newton-Raphson (N-R) with two different regularization methods: the Levenberg-Marquardt (N-R-LM) and the Hachtel's Augmented Matrix (N-R-HAM), were used to reconstruct images of conductivity changes in a cylindrical medium by Induced Current Electrical Impedance Tomography (ic-EIT). Experimental data were obtained...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.491419
更新日期：1996-01-01 00:00:00
abstract：:A convenient way to analyze blood-oxygen-level-dependent functional magnetic resonance imaging data consists of modeling the whole brain as a stationary, linear system characterized by its transfer function: the hemodynamic response function (HRF). HRF estimation, though of the greatest interest, is still under invest...
journal_title：IEEE transactions on medical imaging
pub_type： 临床试验,杂志文章
doi：10.1109/TMI.2004.831221
更新日期：2004-08-01 00:00:00
abstract：:Look-up tables (LUTs) are a common method for increasing the speed of many algorithms. Their use can be extended to the reconstruction of nonuniformly sampled k-space data using either a discrete Fourier transform (DFT) algorithm or a convolution-based gridding algorithm. A table for the DFT would be precalculated arr...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.918471
更新日期：2001-03-01 00:00:00
abstract：:Strategies for improvement of blood flow by promoting new vessel growth in ischemic tissue are being developed. Recently, contrast-enhanced ultrasound (CEU) imaging has been used to assess tissue perfusion in models of ischemia-related angiogenesis, growth-factor mediated angiogenesis, and tumor angiogenesis. In these...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/tmi.2006.877442
更新日期：2006-08-01 00:00:00
abstract：:We present a novel method to segment instances of glandular structures from colon histopathology images. We use a structure learning approach which represents local spatial configurations of class labels, capturing structural information normally ignored by sliding-window methods. This allows us to reveal different sp...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2017.2750210
更新日期：2018-01-01 00:00:00
abstract：:Magnetic resonance (MR) tagging has been shown to be a useful technique for noninvasively measuring the deformation of an in vivo heart. An important step in analyzing tagged images is the identification of tag lines in each image of a cine sequence. Most existing tag identification algorithms require user defined myo...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.768842
更新日期：1999-04-01 00:00:00
abstract：:The accurate determination of the local impulse response and the covariance in voxels from penalized maximum likelihood reconstructed images requires performing reconstructions from many noise realizations of the projection data. As this is usually a very time-consuming process, efficient analytical approximations bas...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2015.2410342
更新日期：2015-09-01 00:00:00
abstract：:This paper presents a fully automated algorithm for segmentation of multiple sclerosis (MS) lesions from multispectral magnetic resonance (MR) images. The method performs intensity-based tissue classification using a stochastic model for normal brain images and simultaneously detects MS lesions as outliers that are no...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.938237
更新日期：2001-08-01 00:00:00
abstract：:Computed ultrasound tomography in echo mode (CUTE) is a promising ultrasound (US) based multi-modal technique that allows to image the spatial distribution of speed of sound (SoS) inside tissue using hand-held pulse-echo US. It is based on measuring the phase shift of echoes when detected under varying steering angles...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2020.3029286
更新日期：2020-10-07 00:00:00
abstract：:A minimalist numerical model of white matter is presented, the objective of which is to help provide a biological basis for improved diffusion tensor imaging (DTI) analysis. Water diffuses, relaxes, and exchanges in three compartments-intracellular, extracellular, and myelin sheath. Exchange between compartments is de...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2007.906787
更新日期：2007-11-01 00:00:00
abstract：:We propose a new spatio-temporal elastic registration algorithm for motion reconstruction from a series of images. The specific application is to estimate displacement fields from two-dimensional ultrasound sequences of the heart. The basic idea is to find a spatio-temporal deformation field that effectively compensat...
journal_title：IEEE transactions on medical imaging
pub_type： 临床试验,杂志文章
doi：10.1109/TMI.2005.852050
更新日期：2005-09-01 00:00:00
abstract：:A preoperative planning system for oral implant surgery was developed which takes as input computed tomographies (CT's) of the jaws. Two-dimensional (2-D) reslices of these axial CT slices orthogonal to a curve following the jaw arch are computed and shown together with three-dimensional (3-D) surface rendered models ...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.736056
更新日期：1998-10-01 00:00:00
abstract：:In this paper, we propose a new prostate computed tomography (CT) segmentation method for image guided radiation therapy. The main contributions of our method lie in the following aspects. 1) Instead of using voxel intensity information alone, patch-based representation in the discriminative feature space with logisti...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2012.2230018
更新日期：2013-02-01 00:00:00
abstract：:Synthesizing a CT image from an available MR image has recently emerged as a key goal in radiotherapy treatment planning for cancer patients. CycleGANs have achieved promising results on unsupervised MR-to-CT image synthesis; however, because they have no direct constraints between input and synthetic images, cycleGAN...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2020.3015379
更新日期：2020-12-01 00:00:00
abstract：:We present a new approach to anisotropic diffusion based on a multidirectional diffusion flux. The diffusion flux is decomposed in an orthogonal basis, effectively enabling enhancement of contours as well as diffusion along the contours. To this end, we have selected a three-dimensional basis that depicts the directio...
journal_title：IEEE transactions on medical imaging
pub_type： 信件
doi：10.1109/TMI.2002.806403
更新日期：2002-11-01 00:00:00
abstract：:The solution of impedance distribution in electrical impedance tomography is a nonlinear inverse problem that requires the use of a regularization method. The generalized Tikhonov regularization methods have been popular in the solution of many inverse problems. The regularization matrices that are usually used with t...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.700740
更新日期：1998-04-01 00:00:00
