Abstract：
:During neurosurgical procedures the objective of the neurosurgeon is to achieve the resection of as much diseased tissue as possible while achieving the preservation of healthy brain tissue. The restricted capacity of the conventional operating room to enable the surgeon to visualize critical healthy brain structures and tumor margin has lead, over the past decade, to the development of sophisticated intraoperative imaging techniques to enhance visualization. However, both rigid motion due to patient placement and nonrigid deformations occurring as a consequence of the surgical intervention disrupt the correspondence between preoperative data used to plan surgery and the intraoperative configuration of the patient's brain. Similar challenges are faced in other interventional therapies, such as in cryoablation of the liver, or biopsy of the prostate. We have developed algorithms to model the motion of key anatomical structures and system implementations that enable us to estimate the deformation of the critical anatomy from sequences of volumetric images and to prepare updated fused visualizations of preoperative and intraoperative images at a rate compatible with surgical decision making. This paper reviews the experience at Brigham and Women's Hospital through the process of developing and applying novel algorithms for capturing intraoperative deformations in support of image guided therapy.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Warfield SK,Haker SJ,Talos IF,Kemper CA,Weisenfeld N,Mewes AU,Goldberg-Zimring D,Zou KH,Westin CF,Wells WM,Tempany CM,Golby A,Black PM,Jolesz FA,Kikinis Rdoi
10.1016/j.media.2004.11.005subject
Has Abstractpub_date
2005-04-01 00:00:00pages
145-62issue
2eissn
1361-8415issn
1361-8423pii
S1361-8415(04)00071-4journal_volume
9pub_type
杂志文章,评审abstract：:This paper presents a symbolic visualization environment known as the Corner Cube environment, which was developed to facilitate rapid examination and comparison of activated foci defined by analyses of functional neuroimaging datasets. We have performed a comparative evaluation of this environment against maximum-int...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/s1361-8415(98)80020-0
更新日期：1998-09-01 00:00:00
abstract：:Image registration is an important task in medical image analysis. Whereas most methods are designed for the registration of two images (pairwise registration), there is an increasing interest in simultaneously aligning more than two images using groupwise registration. Multimodal registration in a groupwise setting r...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.02.003
更新日期：2018-05-01 00:00:00
abstract：:Deep learning-based systems can achieve a diagnostic performance comparable to physicians in a variety of medical use cases including the diagnosis of diabetic retinopathy. To be useful in clinical practice, it is necessary to have well calibrated measures of the uncertainty with which these systems report their decis...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101724
更新日期：2020-08-01 00:00:00
abstract：:Diffusion MRI affords valuable insights into white matter microstructures, but suffers from low signal-to-noise ratio (SNR), especially at high diffusion weighting (i.e., b-value). To avoid time-intensive repeated acquisition, post-processing algorithms are often used to reduce noise. Among existing methods, non-local...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.01.006
更新日期：2019-04-01 00:00:00
abstract：:This paper presents a new approach for multimodal medical image registration and compares it to normalized mutual information (NMI) and the correlation ratio (CR). Like NMI and CR, the new method's measure of registration quality is based on the distribution of points in the joint intensity scatter plot (JISP); compac...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2007.12.002
更新日期：2008-08-01 00:00:00
abstract：:In this paper, we present a generative Bayesian approach for estimating the low-dimensional latent space of diffeomorphic shape variability in a population of images. We develop a latent variable model for principal geodesic analysis (PGA) that provides a probabilistic framework for factor analysis in the space of dif...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2015.04.009
更新日期：2015-10-01 00:00:00
abstract：:Statistical shape models (SSMs) have by now been firmly established as a robust tool for segmentation of medical images. While 2D models have been in use since the early 1990 s, wide-spread utilization of three-dimensional models appeared only in recent years, primarily made possible by breakthroughs in automatic dete...
journal_title：Medical image analysis
pub_type： 杂志文章,评审
doi：10.1016/j.media.2009.05.004
更新日期：2009-08-01 00:00:00
abstract：:This paper describes a method for the enhancement of curvilinear structures such as vessels and bronchi in three-dimensional (3-D) medical images. A 3-D line enhancement filter is developed with the aim of discriminating line structures from other structures and recovering line structures of various widths. The 3-D li...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/s1361-8415(98)80009-1
更新日期：1998-06-01 00:00:00
abstract：:Surgical tool detection is attracting increasing attention from the medical image analysis community. The goal generally is not to precisely locate tools in images, but rather to indicate which tools are being used by the surgeon at each instant. The main motivation for annotating tool usage is to design efficient sol...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.11.008
更新日期：2019-02-01 00:00:00
abstract：:During embryogenesis, a mammalian heart develops from a simple tubular shape into a complex 4-chamber organ, going through four distinct phases: early primitive tubular heart, emergence of trabeculations, trabecular remodeling and development of the compact myocardium. In this paper we propose a framework for standard...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.08.001
更新日期：2018-10-01 00:00:00
abstract：:Deep learning based methods have improved the estimation of tissue microstructure from diffusion magnetic resonance imaging (dMRI) scans acquired with a reduced number of diffusion gradients. These methods learn the mapping from diffusion signals in a voxel or patch to tissue microstructure measures. In particular, it...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101650
更新日期：2020-04-01 00:00:00
abstract：:We describe a new algorithm for non-rigid registration capable of estimating a constrained dense displacement field from multi-modal image data. We applied this algorithm to capture non-rigid deformation between digital images of histological slides and digital flat-bed scanned images of cryotomed sections of the lary...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2005.04.003
更新日期：2005-12-01 00:00:00
abstract：:Segmentation of the skull in medical imagery is an important stage in applications that require the construction of realistic models of the head. Such models are used, for example, to simulate the behavior of electro-magnetic fields in the head and to model the electrical activity of the cortex in EEG and MEG data. In...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/s1361-8415(00)00016-5
更新日期：2000-09-01 00:00:00
abstract：:After two decades of increasing interest and research activity, computer-assisted diagnostic approaches are reaching the stage where more routine deployment in clinical practice is becoming a possibility [Kruppinski, E.A., 2004. Computer-aided detection in clinical environment: Benefits and challenges for radiologists...
journal_title：Medical image analysis
pub_type： 杂志文章,评审
doi：10.1016/j.media.2005.06.003
更新日期：2006-04-01 00:00:00
abstract：:As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative impact on the quality of life due to its symptoms including pain, disability, fall risk and depression. Accurate boundary delineation is essential to the clinical diagnosis and treatment of NFS. However, existing clinica...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2016.10.009
更新日期：2017-02-01 00:00:00
abstract：:Fundus camera imaging of the retina is widely used to diagnose and manage ophthalmologic disorders including diabetic retinopathy, glaucoma, and age-related macular degeneration. Retinal images typically have a limited field of view, and multiple images can be joined together using an image registration technique to f...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.04.001
更新日期：2010-08-01 00:00:00
abstract：:Both resting state fMRI (R-fMRI) and task-based fMRI (T-fMRI) have been widely used to study the functional activities of the human brain during task-free and task-performance periods, respectively. However, due to the difficulty in strictly controlling the participating subject's mental status and their cognitive beh...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2013.07.003
更新日期：2013-12-01 00:00:00
abstract：:Accurate and robust segmentation of abdominal organs on CT is essential for many clinical applications such as computer-aided diagnosis and computer-aided surgery. But this task is challenging due to the weak boundaries of organs, the complexity of the background, and the variable sizes of different organs. To address...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.04.005
更新日期：2019-07-01 00:00:00
abstract：:The distribution of cortical bone in the proximal femur is believed to be a critical component in determining fracture resistance. Current CT technology is limited in its ability to measure cortical thickness, especially in the sub-millimetre range which lies within the point spread function of today's clinical scanne...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.01.003
更新日期：2010-06-01 00:00:00
abstract：:Diffusion tensor imaging can provide the fundamental information required for viewing structural connectivity. However, robust and accurate acquisition and processing algorithms are needed to accurately map the nerve connectivity. In this paper, we present a novel algorithm for extracting and visualizing the fiber tra...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2003.12.001
更新日期：2004-06-01 00:00:00
abstract：:Automated ventricle volume estimation (AVVE) on cardiac magnetic resonance (CMR) images is very important for clinical cardiac disease diagnosis. However, current AVVE methods ignore the error correction for the estimated volume. This results in clinically intolerable ventricle volume estimation error and further lead...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101723
更新日期：2020-08-01 00:00:00
abstract：:Phase contrast, a noninvasive microscopy imaging technique, is widely used to capture time-lapse images to monitor the behavior of transparent cells without staining or altering them. Due to the optical principle, phase contrast microscopy images contain artifacts such as the halo and shade-off that hinder image segme...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2011.12.006
更新日期：2012-07-01 00:00:00
abstract：:Fine-featured elastograms may provide additional information of radiological interest in the context of in vivo elastography. Here a new image processing pipeline called ESP (Elastography Software Pipeline) is developed to create Magnetic Resonance Elastography (MRE) maps of viscoelastic parameters (complex modulus ma...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2016.05.012
更新日期：2017-01-01 00:00:00
abstract：:This paper introduces a model-based approach for a fully automatic delineation of kidney and cortex tissue from contrast-enhanced abdominal CT scans. The proposed framework, named CorteXpert, consists of two new strategies for kidney tissue delineation: cortex model adaptation and non-uniform graph search. CorteXpert ...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2017.06.010
更新日期：2017-12-01 00:00:00
abstract：:Human brain alignment based on imaging data has long been an intriguing research topic. One of the challenges is the huge inter-individual variabilities, which are pronounced not only in cortical folding patterns, but also in the underlying structural and functional patterns. Also, it is still not fully understood how...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101700
更新日期：2020-07-01 00:00:00
abstract：:Robust and fast detection of anatomical structures represents an important component of medical image analysis technologies. Current solutions for anatomy detection are based on machine learning, and are generally driven by suboptimal and exhaustive search strategies. In particular, these techniques do not effectively...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.06.007
更新日期：2018-08-01 00:00:00
abstract：:Accurate segmentation of a pulmonary nodule is an important and active area of research in medical image processing. Although many algorithms have been reported in literature for this problem, those that are applicable to various density types have not been available until recently. In this paper, we propose a new alg...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.08.005
更新日期：2011-02-01 00:00:00
abstract：:Typically, a medical image offers spatial information on the anatomy (and pathology) modulated by imaging specific characteristics. Many imaging modalities including Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) can be interpreted in this way. We can venture further and consider that a medical image na...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.101535
更新日期：2019-12-01 00:00:00
abstract：:Although white matter hyperintensities evolve in the course of ageing, few solutions exist to consider the lesion segmentation problem longitudinally. Based on an existing automatic lesion segmentation algorithm, a longitudinal extension is proposed. For evaluation purposes, a longitudinal lesion simulator is created ...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2017.02.007
更新日期：2017-05-01 00:00:00
abstract：:Accurate cortical thickness estimation is important for the study of many neurodegenerative diseases. Many approaches have been previously proposed, which can be broadly categorised as mesh-based and voxel-based. While the mesh-based approaches can potentially achieve subvoxel resolution, they usually lack the computa...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2009.07.003
更新日期：2009-10-01 00:00:00
