Logo
homeHome
toggle_offCompany ProfilegroupsBoards & Staffsworkspace_premiumMemberships & PartnersschoolAcademy of Journalismperson_addCareerslinkBlog(EN)emailContact Us
list_altOur JournalslightbulbInstruction for AuthorsbookmarkBrieflands PolicieshandshakePublish My Researchplay_circleJournal Management Systemcredit_cardArticle Processing Chargeszoom_inOpen Peer ReviewimagePublishing Services
menu_bookPublish My Book

IJ Radiology

An Innovative Journal in the Field of Radiology

homeHome
play_arrowCurrent IssuelistAll Issuesformat_indent_increaseIn Presscheck_circleAccepted ManuscriptssearchSearch
helpInstructions
bookmarkJournal InformationgroupsEditors and BoardsshareIndexing and Listing Sourcesshow_chartJournal Metricszoom_inOpen Peer Review (OPR)balancePublication Ethics and Malpractice Statementassignment_indReviewer and AE Registration FormemailSupportphoneContact Us
format_list_bulletedAPC
Authors GuideSubmit Manuscript

Outlines

https://doi.org/10.5812/iranjradiol.21290

Improved Quantification of Dynamic Contrast Enhanced MR Imaging (DCE-MRI) in Adnexal Masses by Elastic Registration Method

Author(s):
Elaheh KiaElaheh Kia1, Anahita Fathi KazerooniAnahita Fathi Kazerooni1, Alireza AhmadianAlireza Ahmadian1, Hamidreza Saligheh RadHamidreza Saligheh Rad1,*
1Tehran University of Medical Sciences, Tehran, IR Iran
IJ Radiology:Vol. 11, issue 30th Iranian Congress of Radiology; e21290
Published online:Feb 28, 2014
Article type:Research Article
How to Cite:Kia E, Fathi Kazerooni A, Ahmadian A, Saligheh Rad H. Improved Quantification of Dynamic Contrast Enhanced MR Imaging (DCE-MRI) in Adnexal Masses by Elastic Registration Method. I J Radiol. 2014;11(30th Iranian Congress of Radiology):e21290. doi: https://doi.org/10.5812/iranjradiol.21290

Abstract

Background:

Ovarian cancer is the fifth commonest cancer affecting women in the developed world and is the primary indication for gynecological surgery. Quantitative dynamic contrast enhanced MRI (DCE-MRI) has been shown beneficial to differentiate malignant and benign tumors and is increasingly used as the investigational biomarker of response in clinical studies based on the measurement of enhancement characteristics. One of the major assumptions in quantification of DCE-MRI in abdominal organs is spatially-fixed region of interest over the time course of contrast agent passage. However, there are two types of motion occurring in the image series, which could invalidate this assumption and thus the quantification outcome: one of them from complex motion resulting from breathing, pulsation and the natural movement of the organ of interest, and the other one from the motion of the contrast agent. Thus, the accurate quantification of DCE-MR image series highly depends on minimization of motion artifacts.

Objectives:

To this end, proper registration of images that have been acquired in different time points is essential for deriving diagnostic information to produce a dataset without motion artifact. Here, we have proposed a registration approach for accurate quantification of DCE-MRI in ovary, employing elastic registration to account for spatially-varying intensity changes within the registration framework.

Patients and Methods:

Data Acquisition: DCE-MR images of eighteen patients (10 benign and 8 malignant tumors based on histopathology) diagnosed with solid or solid/cystic ovarian masses were acquired on a 3T MR scanner (Siemens MAGNETOM Tim TRIO) using a surface phased-array coil, TE/TR = 1.74/5 ms, flip angle = 60, image matrix = 156192, FOV=2323 cm2, slice thickness = 5 mm, number of measurements = 52 at 6 s/volume, number of slices = 16. The acquisition was performed before and immediately after injection of 0.2 mL/kg of Gadolinium (DOTAREM; Guerbet, Aulnay, France), followed by injection of 20 cc normal saline solution with 3 mL/min injection rate.

Results:

The impact of the registration methods was shown on the selected regions-of-interest (ROIs) located in solid part of the tumor in malignant forms. As a result, the elastic registration algorithm significantly improves the signal intensity curves, especially in psoas that inhibited much distortion. In addition, the mean and the median of the standard deviation within the ROIs selected on tumor and psoas over the time courses of contrast agent passage were computed, which suggests that the elastic registration (E-Reg) method significantly improves the signal intensity-time courses in contrast to the unregistered (UnReg) images. Similar results are obtained for the other data sets. Also, quantitative parameters were calculated for unregistered and elastic registered images. It can be inferred that the value of mean to standard deviation ratio of the parameters increased after registration, which would improve the characterization of benign from malignant ovarian masses.

Conclusions:

From the results attained in this work, it can be concluded that the outcome of ovarian cancer characterization could benefit from elastic registration approach and hence this method can be reliably used for quantification of DCE-MR images of adnexal tumors.

Full Text

Full text is available in PDF
Import into EndNoteImport into BibTex
Crossmark
Crossmark
Checking
Share on
Comments
Number of Comments:0
Cited by
Metrics
Get Permission (article level)

Purchasing Reprints

  • Copyright Clearance Center (CCC) handles bulk orders for article reprints for Brieflands. To place an order for reprints, please click here (   https://www.copyright.com/landing/reprintsinquiryform/ ). Clicking this link will bring you to a CCC request form where you can provide the details of your order. Once complete, please click the ‘Submit Request’ button and CCC’s Reprints Services team will generate a quote for your review.
Search Relations

Author(s):

Related Articles

Related Article in PubMed

Related Article in Google Scholar

Create Citation Alert via Google Reader