Edge map analysis in chest X-rays for automatic pulmonary abnormality screening.

Abstract:

PURPOSE:Our particular motivator is the need for screening HIV+ populations in resource-constrained regions for the evidence of tuberculosis, using posteroanterior chest radiographs (CXRs). METHOD:The proposed method is motivated by the observation that abnormal CXRs tend to exhibit corrupted and/or deformed thoracic edge maps. We study histograms of thoracic edges for all possible orientations of gradients in the range [Formula: see text] at different numbers of bins and different pyramid levels, using five different regions-of-interest selection. RESULTS:We have used two CXR benchmark collections made available by the U.S. National Library of Medicine and have achieved a maximum abnormality detection accuracy (ACC) of 86.36 % and area under the ROC curve (AUC) of 0.93 at 1 s per image, on average. CONCLUSION:We have presented an automatic method for screening pulmonary abnormalities using thoracic edge map in CXR images. The proposed method outperforms previously reported state-of-the-art results.

authors

Santosh KC,Vajda S,Antani S,Thoma GR

doi

10.1007/s11548-016-1359-6

subject

Has Abstract

pub_date

2016-09-01 00:00:00

pages

1637-46

issue

9

eissn

1861-6410

issn

1861-6429

pii

10.1007/s11548-016-1359-6

journal_volume

11

pub_type

杂志文章
  • Interactive navigation of segmented MR angiograms using simultaneous curved planar and volume visualizations.

    abstract:PURPOSE:Interactive visualization is required to inspect and monitor the automatic segmentation of vessels derived from contrast-enhanced magnetic resonance angiography (CE-MRA). A dual-view visualization scheme consisting of curved planar reformation (CPR) and direct volume rendering (DVR) was developed for this purpo...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-010-0534-4

    authors: van Schooten BW,van Dijk EM,Suinesiaputra A,Reiber JH

    更新日期:2011-09-01 00:00:00

  • A framework for correcting brain retraction based on an eXtended Finite Element Method using a laser range scanner.

    abstract:BACKGROUND:Brain retraction causes great distortion that limits the accuracy of an image-guided neurosurgery system that uses preoperative images. Therefore, brain retraction correction is an important intraoperative clinical application. METHODS:We used a linear elastic biomechanical model, which deforms based on the...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-013-0958-8

    authors: Li P,Wang W,Song Z,An Y,Zhang C

    更新日期:2014-07-01 00:00:00

  • A CAD of fully automated colonic polyp detection for contrasted and non-contrasted CT scans.

    abstract:PURPOSE:Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In this paper, we aimed to develop a fully integrated CAD system for automated detection of p...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-017-1521-9

    authors: Tulum G,Bolat B,Osman O

    更新日期:2017-04-01 00:00:00

  • Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.

    abstract:PURPOSE:Neoadjuvant chemotherapy (NAC) aims to minimize the tumor size before surgery. Predicting response to NAC could reduce toxicity and delays to effective intervention. Computational analysis of dynamic contrast-enhanced magnetic resonance images (DCE-MRI) through deep convolution neural network (CNN) has shown a ...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-020-02209-9

    authors: El Adoui M,Drisis S,Benjelloun M

    更新日期:2020-09-01 00:00:00

  • Learned optical flow for intra-operative tracking of the retinal fundus.

    abstract:PURPOSE:Sustained delivery of regenerative retinal therapies by robotic systems requires intra-operative tracking of the retinal fundus. We propose a supervised deep convolutional neural network to densely predict semantic segmentation and optical flow of the retina as mutually supportive tasks, implicitly inpainting r...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-020-02160-9

    authors: Ravasio CS,Pissas T,Bloch E,Flores B,Jalali S,Stoyanov D,Cardoso JM,Da Cruz L,Bergeles C

    更新日期:2020-05-01 00:00:00

  • A Survey of auditory display in image-guided interventions.

    abstract:PURPOSE:This article investigates the current state of the art of the use of auditory display in image-guided medical interventions. Auditory display is a means of conveying information using sound, and we review the use of this approach to support navigated interventions. We discuss the benefits and drawbacks of publi...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章,评审

    doi:10.1007/s11548-017-1547-z

    authors: Black D,Hansen C,Nabavi A,Kikinis R,Hahn H

    更新日期:2017-10-01 00:00:00

  • Toward a standard ontology of surgical process models.

    abstract:PURPOSE:The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surgery have mainly been focussing on individual groups and failed to achieve widespread international acce...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-018-1824-5

    authors: Gibaud B,Forestier G,Feldmann C,Ferrigno G,Gonçalves P,Haidegger T,Julliard C,Katić D,Kenngott H,Maier-Hein L,März K,de Momi E,Nagy DÁ,Nakawala H,Neumann J,Neumuth T,Rojas Balderrama J,Speidel S,Wagner M,Jannin P

    更新日期:2018-09-01 00:00:00

  • Predicting underestimation of ductal carcinoma in situ: a comparison between radiomics and conventional approaches.

    abstract:PURPOSE:We aimed to investigate the feasibility of predicting invasion carcinoma from ductal carcinoma in situ (DCIS) lesions diagnosed by preoperative core needle biopsy using radiomics signatures, clinical imaging characteristics, and breast imaging reporting and data system (BI-RADS) descriptors on mammography. MET...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-018-1900-x

    authors: Li J,Song Y,Xu S,Wang J,Huang H,Ma W,Jiang X,Wu Y,Cai H,Li L

    更新日期:2019-04-01 00:00:00

  • Cost-effective, personalized, 3D-printed liver model for preoperative planning before laparoscopic liver hemihepatectomy for colorectal cancer metastases.

    abstract:PURPOSE:Three-dimensional (3D) printing for preoperative planning has been intensively developed in the recent years. However, the implementation of these solutions in hospitals is still difficult due to high costs, extremely expensive industrial-grade printers, and software that is difficult to obtain and learn along ...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-017-1527-3

    authors: Witowski JS,Pędziwiatr M,Major P,Budzyński A

    更新日期:2017-12-01 00:00:00

  • Temporal bone borehole accuracy for cochlear implantation influenced by drilling strategy: an in vitro study.

    abstract:PURPOSE:Minimally invasive cochlear implantation is a surgical technique which requires drilling a canal from the mastoid surface toward the basal turn of the cochlea. The choice of an appropriate drilling strategy is hypothesized to have significant influence on the achievable targeting accuracy. Therefore, a method i...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-014-0997-9

    authors: Kobler JP,Schoppe M,Lexow GJ,Rau TS,Majdani O,Kahrs LA,Ortmaier T

    更新日期:2014-11-01 00:00:00

  • [¹¹C]acetate and PET/CT assessment of muscle activation in rat studies.

    abstract:PURPOSE:The purpose of the present study is to apply kinetic analysis to investigate exercise-related changes in the metabolism of the skeletal muscle of the rat hindlimb by [[Formula: see text]]acetate positron emission tomography and computed tomography (PET/CT). METHODS:Contractions were induced in Wistar rats' lef...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-015-1260-8

    authors: Trombella S,García D,Colin DJ,Germain S,Seimbille Y,Ratib O

    更新日期:2016-05-01 00:00:00

  • Multimodal mixed reality visualisation for intraoperative surgical guidance.

    abstract:PURPOSE:In the last decade, there has been a great effort to bring mixed reality (MR) into the operating room to assist surgeons intraoperatively. However, progress towards this goal is still at an early stage. The aim of this paper is to propose a MR visualisation platform which projects multiple imaging modalities to...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-020-02165-4

    authors: Cartucho J,Shapira D,Ashrafian H,Giannarou S

    更新日期:2020-05-01 00:00:00

  • Knee arthroscopic navigation using virtual-vision rendering and self-positioning technology.

    abstract:PURPOSE:Knee arthroscopy suffers from a lack of depth information and easy occlusion of the visual field. To solve these limitations, we propose an arthroscopic navigation system based on self-positioning technology, with the guidance of virtual-vision views. This system can work without any external tracking devices o...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-019-02099-6

    authors: Ma C,Cui X,Chen F,Ma L,Xin S,Liao H

    更新日期:2020-03-01 00:00:00

  • A method for going from 2D laparoscope to 3D acquisition of surface landmarks by a novel computer vision approach.

    abstract:PURPOSE:This paper presents a method to use the Smart Trocars-our new surgical instrument recognition system-or any accurate localization system of surgical instrument for acquiring intraoperative surface data. Complex laparoscopic surgeries need a proper guidance system which requires registering the preoperative data...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-017-1655-9

    authors: Garbey M,Nguyen TB,Huang AY,Fikfak V,Dunkin BJ

    更新日期:2018-02-01 00:00:00

  • Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI.

    abstract:PURPOSE:Gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) tends to show higher diagnostic accuracy than other modalities. There is a demand for computer-assisted detection (CAD) software for Gd-EOB-DTPA-enhanced MRI. Segmentation with high accuracy is im...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-019-01935-z

    authors: Takenaga T,Hanaoka S,Nomura Y,Nemoto M,Murata M,Nakao T,Miki S,Yoshikawa T,Hayashi N,Abe O

    更新日期:2019-08-01 00:00:00

  • Ultrasound imaging method for internal jugular vein measurement and estimation of circulating blood volume.

    abstract:PURPOSE:Evaluation of circulating blood volume is important in assessing the status of patients. Although some studies have suggested that ultrasound images of the internal jugular vein (IJV) can be used for the analysis of circulating blood volume, accurate extraction of IJV is necessary to reduce errors. Therefore, t...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-013-0921-8

    authors: Qian K,Ando T,Nakamura K,Liao H,Kobayashi E,Yahagi N,Sakuma I

    更新日期:2014-03-01 00:00:00

  • Orbital volume analysis: validation of a semi-automatic software segmentation method.

    abstract:PURPOSE:The purpose of this study was to validate a quick, accurate and reproducible (semi-) automatic software segmentation method to measure orbital volume in the unaffected bony orbit. Precise volume measurement of the orbital cavity is a useful addition to pre-operative planning and intraoperative navigation in orb...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-015-1254-6

    authors: Jansen J,Schreurs R,Dubois L,Maal TJ,Gooris PJ,Becking AG

    更新日期:2016-01-01 00:00:00

  • Within-brain classification for brain tumor segmentation.

    abstract:PURPOSE:In this paper, we investigate a framework for interactive brain tumor segmentation which, at its core, treats the problem of interactive brain tumor segmentation as a machine learning problem. METHODS:This method has an advantage over typical machine learning methods for this task where generalization is made ...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-015-1311-1

    authors: Havaei M,Larochelle H,Poulin P,Jodoin PM

    更新日期:2016-05-01 00:00:00

  • Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images.

    abstract:PURPOSE:Boundary roughness of a pulmonary nodule is an important indication of its malignancy. The irregularity of the shape of a nodule is represented in terms of a few diagnostic characteristics such as spiculation, lobulation, and sphericity. Quantitative characterization of these diagnostic characteristics is essen...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-015-1284-0

    authors: Dhara AK,Mukhopadhyay S,Saha P,Garg M,Khandelwal N

    更新日期:2016-03-01 00:00:00

  • Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics.

    abstract:PURPOSE:Realistic modelling of soft tissue biomechanics and mechanical interactions between tissues is an important part of biomechanically-informed surgical image-guidance and surgical simulation. This submission details a contact-modelling pipeline suitable for implementation in explicit matrix-free FEM solvers. Whil...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-014-1142-5

    authors: Johnsen SF,Taylor ZA,Han L,Hu Y,Clarkson MJ,Hawkes DJ,Ourselin S

    更新日期:2015-11-01 00:00:00

  • A vision-based system for fast and accurate laser scanning in robot-assisted phonomicrosurgery.

    abstract:PURPOSE:Surgical quality in phonomicrosurgery can be improved by open-loop laser control (e.g., high-speed scanning capabilities) with a robust and accurate closed-loop visual servoing systems. A new vision-based system for laser scanning control during robot-assisted phonomicrosurgery was developed and tested. METHOD...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-014-1078-9

    authors: Dagnino G,Mattos LS,Caldwell DG

    更新日期:2015-02-01 00:00:00

  • Computer-aided detection of breast carcinoma in standard mammographic projections with digital mammography.

    abstract:PURPOSE:A retrospective evaluation of the ability of computer-aided detection (CAD) ability to identify breast carcinoma in standard mammographic projections. MATERIALS AND METHODS:Forty-five biopsy proven lesions in 44 patients imaged digitally with CAD applied at examination were reviewed. Forty-four screening BIRAD...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-009-0300-7

    authors: Destounis S,Hanson S,Morgan R,Murphy P,Somerville P,Seifert P,Andolina V,Arieno A,Skolny M,Logan-Young W

    更新日期:2009-06-01 00:00:00

  • A fully 3D work context for oral implant planning and simulation.

    abstract:PURPOSE:Most software systems for oral implantology are based on a two-dimensional multi-view approach, often accompanied with a surface rendered model. Usually they are affected by common errors like anisotropy of the volume and distortion on measurements. A more integrated and realistic 3D approach for implant surger...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-009-0394-y

    authors: Chiarelli T,Lamma E,Sansoni T

    更新日期:2010-01-01 00:00:00

  • FCNN-based axon segmentation for convection-enhanced delivery optimization.

    abstract:PURPOSE:Glioblastoma multiforme treatment is a challenging task in clinical oncology. Convection- enhanced delivery (CED) is showing encouraging but still suboptimal results due to drug leakages. Numerical models can predict drug distribution within the brain, but require retrieving brain physical properties, such as t...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-018-01911-z

    authors: Vidotto M,De Momi E,Gazzara M,Mattos LS,Ferrigno G,Moccia S

    更新日期:2019-03-01 00:00:00

  • MINARO HD: control and evaluation of a handheld, highly dynamic surgical robot.

    abstract:PURPOSE:Current surgical robotic systems are either large serial arms, resulting in higher risks due to their high inertia and no inherent limitations of the working space, or they are bone-mounted, adding substantial additional task steps to the surgical workflow. The robot presented in this paper has a handy and ligh...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-020-02306-9

    authors: Vossel M,Müller M,Niesche A,Theisgen L,Radermacher K,de la Fuente M

    更新日期:2021-01-23 00:00:00

  • Computational modeling of abdominal hernia laparoscopic repair with a surgical mesh.

    abstract:PURPOSE:Although new techniques and prostheses have been introduced in ventral hernia surgery, abdominal hernia repair still presents complications, such as recurrence, pain, and discomfort. Thus, this work implements a computational method aimed at evaluating biomechanical aspects of the abdominal hernia laparoscopic ...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-017-1681-7

    authors: Todros S,Pachera P,Baldan N,Pavan PG,Pianigiani S,Merigliano S,Natali AN

    更新日期:2018-01-01 00:00:00

  • Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI.

    abstract:PURPOSE:We propose a fully automated method for detection and segmentation of the abnormal tissue associated with brain tumour (tumour core and oedema) from Fluid- Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Imaging (MRI). METHODS:The method is based on superpixel technique and classification of each supe...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-016-1483-3

    authors: Soltaninejad M,Yang G,Lambrou T,Allinson N,Jones TL,Barrick TR,Howe FA,Ye X

    更新日期:2017-02-01 00:00:00

  • Planning nonlinear access paths for temporal bone surgery.

    abstract:PURPOSE:Interventions at the otobasis operate in the narrow region of the temporal bone where several highly sensitive organs define obstacles with minimal clearance for surgical instruments. Nonlinear trajectories for potential minimally invasive interventions can provide larger distances to risk structures and optimi...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-018-1712-z

    authors: Fauser J,Sakas G,Mukhopadhyay A

    更新日期:2018-05-01 00:00:00

  • A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia.

    abstract:PURPOSE:Automatic segmentation of anatomical structures and lesions from medical ultrasound images is a formidable challenge in medical imaging due to image noise, blur and artifacts. In this paper we present a segmentation technique with features highly suited to use in noisy 3D ultrasound volumes and demonstrate its ...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-015-1239-5

    authors: Hareendranathan AR,Mabee M,Punithakumar K,Noga M,Jaremko JL

    更新日期:2016-01-01 00:00:00

  • Unravelling the effect of data augmentation transformations in polyp segmentation.

    abstract:PURPOSE:Data augmentation is a common technique to overcome the lack of large annotated databases, a usual situation when applying deep learning to medical imaging problems. Nevertheless, there is no consensus on which transformations to apply for a particular field. This work aims at identifying the effect of differen...

    journal_title:International journal of computer assisted radiology and surgery

    pub_type: 杂志文章

    doi:10.1007/s11548-020-02262-4

    authors: Sánchez-Peralta LF,Picón A,Sánchez-Margallo FM,Pagador JB

    更新日期:2020-12-01 00:00:00