Siming Bayer

Andreas Maier

Martin Ostermeier

Rebecca Fahrig

Corrigendum to &#x201C;Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery&#x201D;

for complex segment task achiev accuraci fulli autom system inher limit specif when precis segment result desir small amount given data set semiautomat method exhibit clear benefit user the optim human comput interact hci essenti part interact imag segment nevertheless public introduc novel interact segment system iss often lack object comparison hci aspect demonstr even when under segment algorithm same throughout interact prototyp user experi may vari substanti result user prefer simpl interfac well consider degre freedom control each iter step segment articl object method comparison iss propos base extens user studi summat qualit content analysi conduct via abstract visual verbal feedback given particip direct assess segment system execut user via system usabl scale sus attrakdiff2 questionnair furthermor approxim find regard usabl aspect those studi introduc conduct sole from systemmeasur user action dure usag interact segment prototyp the predict all questionnair result has averag relat error 89 which close expect precis questionnair result themselv this autom evalu scheme may signific reduc resourc necessari investig each variat prototyp user interfac featur segment methodolog

Mario Amrehn

Stefan Steidl

Reinier Kortekaas

Maddalena Strumia

Markus Weingarten

Markus Kowarschik

A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems

identif earli ischem chang eic noncontrast head scan perform within first few hour stroke onset may have import implic subsequ treatment though earli stroke poor delimit studi lack sharp lesion boundari delin earli infarct preclud manual volum measur well measur use edgedetect regionfil algorithm wish test hypothesi imag intens inhomogen correct may provid sensit method identifi subtl region hypodens which characterist earli ischem infarct digit imag analysi algorithm develop use imag intens inhomogen correct iic intens threshold two differ iic algorithm fsl itk were compar the method evalu use simul infarct clinic case for synthet infarct measur infarct volum demonstr strong correl true lesion volum 20 decreas densiti infarct pearson 0998 both algorithm both algorithm demonstr improv accuraci increas lesion size decreas lesion densiti clinic case 41 acut infarct 30 patient calcul infarct volum use fsl iic correl aspects score pearson 0680 admiss nihss pearson 0544 calcul infarct volum were high correl clinic decis treat ivtpa image intens inhomogen correct when appli noncontrast head provid tool imag analysi aid detect eic well evalu guid improv scan qualiti optim detect eic

Keith A. Cauley

Gino J. Mongelluzzo

Samuel W. Fielden

Automated Estimation of Acute Infarct Volume from Noncontrast Head CT Using Image Intensity Inhomogeneity Correction

inferenc tumor edema area from brain magnet reson imag mri data remain challeng owe complex structur brain tumor blur boundari extern factor nois allevi nois sensit improv stabil segment effect hybrid cluster algorithm combin morpholog oper propos segment brain tumor paper the main contribut paper follow first adapt wiener filter util denois morpholog oper use remov nonbrain tissu effect reduc method sensit nois second kmean cluster combin gaussian kernelbas fuzzi cmean algorithm segment imag this cluster onli improv algorithm stabil also reduc sensit cluster paramet final extract tumor imag postprocess use morpholog oper median filter obtain accur represent brain tumor addit propos algorithm compar other current segment algorithm the result show propos algorithm perform better term accuraci sensit specif recal

Chong Zhang

Xuanjing Shen

Hang Cheng

Qingji Qian

Brain Tumor Segmentation Based on Hybrid Clustering and Morphological Operations

brain tumor segment process separ tumor from normal brain tissu clinic routin provid use inform diagnosi treatment plan howev still challeng task due irregular form confus boundari tumor tumor cell thermal repres heat sourc temperatur high compar normal brain cell the main aim present paper demonstr thermal inform brain tumor can use reduc fals posit fals negat result segment perform mri imag penn bioheat equat solv numer use finit differ method simul temperatur distribut brain gaussian nois 2 were ad simul temperatur canni edg detector use detect tumor contour from calcul thermal map calcul temperatur show larg gradient tumor contour the propos method compar chan vese base level set segment method appli contrastenhanc flair mri imag brain contain tumor ground truth the method test four differ phantom patient consid differ tumor volum locat 50 synthet patient taken from brats 2012 brats 2013 the obtain result all patient show signific improv use propos method compar segment level set method averag 08 tumor area 248 healthi tissu differenti use thermal imag onli conclud tumor contour delin base tumor temperatur chang can exploit reinforc enhanc segment algorithm mri diagnost

Abdelmajid Bousselham

Omar Bouattane

Mohamed Youssfi

Abdelhadi Raihani

Towards Reinforced Brain Tumor Segmentation on MRI Images Based on Temperature Changes on Pathologic Area

threedimension biomed imag set often acquir inplan pixel space far less than outofplan space between imag the result anisotropi which can detriment mani applic can decreas use imag interpol optical flow other registrationbas interpol have proven use interpol role past when acquir imag compris signal describ flow veloc fluid addit inform avail guid interpol process paper present opticalflow base framework imag interpol also minim result diverg interpol data

Berkay Kanberoglu

Dhritiman Das

Priya Nair

Pavan Turaga

David Frakes

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

breast cancer major caus morbid mortal western women tumor neoangiogenesi format new blood vessel from preexist one may use prognost marker cancer progress clinic practic use dynam contrast enhanc magnet reson imag dcemri detect cancer base increas blood flow capillari permeabl howev dcemri requir repeat inject contrast media therefor explor use noninvas timeofflight tof angiographi serial studi mous mammari gland measur number size arteri feed mammari gland without cancer virgin femal c31 sv40 tag mice 9 age 1820 week were imag 94 tesla small anim scanner multislic 2 weight t2w imag tofmri angiogram were acquir over inguin mous mammari gland the data were analyz determin tumor burden each mammari gland volum arteri feed each mammari gland after vivo mri inguin mammari gland were excis fix formalin histolog tof angiographi detect arteri diamet small 01 feed mammari gland signific correl 079 00001 found between tumor volum arteri blood volum measur mammari gland mammari arteri blood volum rang from 008 3 381 3 were measur tumor blood vessel found vivo t2w tof imag respect were confirm vivo histolog imag these result demonstr increas recruit arteri mammari gland cancer like associ neoangiogenesi neoangiogenesi may detect tof angiographi without inject contrast agent this would veri use mous model where repeat placement line challeng addit analog method could test human evalu vasculatur suspici lesion without use contrast agent

Devkumar Mustafi

Abby Leinroth

Xiaobing Fan

Erica Markiewicz

Marta Zamora

Jeffrey Mueller

Suzanne D. Conzen

Gregory S. Karczmar

Magnetic Resonance Angiography Shows Increased Arterial Blood Supply Associated with Murine Mammary Cancer

purpos the treatment skin lesion various kind common task clinic routin apart from wound care assess treatment efficaci play import role paper present new approach measur skin lesion surfac two three dimens method for approach singl photo contain flexibl paper ruler taken after semiautomat segment lesion evalu base local scale estim use ruler for approach reconstruct base structur from motion rough outlin region interest around lesion requir both method result the measur evalu perform 117 phantom imag five phantom video approach respect found absolut error 099 118 relat error 989 931 these error five test phantom our case expect error surfac area measur increas approxim 10 wound bent surfac compar wound flat surfac using our method onli user interact rough outlin region interest around lesion conclus develop new wound segment surfac area measur techniqu skin lesion even bent surfac the techniqu provid user fast userfriend segment measur tool reason accuraci home care assess treatment for onli preliminari result could provid measur were onli base phantom have repeat real clinic data

Houman Mirzaalian Dastjerdi

Dominique Töpfer

Stefan J. Rupitsch

Measuring Surface Area of Skin Lesions with 2D and 3D Algorithms

About this journal

International Journal of Biomedical Imaging aims to promote research and development of biomedical imaging by publishing high-quality research articles and reviews in this rapidly growing interdisciplinary field.

Journal profile

Meet the editorial board

International Journal of Biomedical Imaging maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor spotlight

Submit your proposal

Do you think there is an emerging area of research that really needs to be highlighted? Or an existing research area that has been overlooked or would benefit from deeper investigation? Raise the profile of a research area by leading a Special Issue.

International Journal of Biomedical Imaging