Magic-5. Medical Applications in a GRID Infrastructure Connection. Ivan De Mitri* on behalf of MAGIC-5 collaboration

Transcription

1 Magic-5 Medical Applications in a GRID Infrastructure Connection Ivan De Mitri* on behalf of MAGIC-5 collaboration *Dipartimento di Fisica dell Università di Lecce and Istituto Nazionale di Fisica Nucleare, Sez. di Lecce ivan.demitri@le.infn.it TCN CAE 2005 International Conference on CAE and Computational Technologies for Industry Lecce, October 2005

2 What is Magic-5? INFN project (Medical Applications in a GRID Infrastructure Connection) Development of software tools for medical applications: o 2D-3D Image Analysis o Computer Assisted Diagnosis (CAD) Grid virtual organization (distributed databases and code) INFN: Universities: Hospitals: Bari, Cagliari/Sassari, Catania/Palermo, Lecce, Napoli, Pisa, Torino/Alessandria Bari, Genova, Lecce, Napoli, Palermo, Piemonte Orientale, Pisa, Sassari Alessandria, Bari, (Lecce), Livorno, Milano, Napoli, Palermo, Pisa, Sassari, Torino, Udine International Collaborations: Centro de Applicaciones Tecnologicas y Desarrollo Nuclear (CEADEN), Agreement with BRACCO. La Habana, Cuba ALICE collaboration (CERN) 2

3 Magic-5 chronology CALMA (Computer Assisted Library for Mammography) Study of image analysis algorithms for computer assisted diagnosis in mammographic screening. Development of an annotated mammographic database. GP-CALMA (GRID Platform CALMA) Implementation of a GRID prototype for accessing the database (e.g. for remote diagnosis, training,. ) MAGIC-5 Refinement of Mammographic (2D) image analysis algorithms Extended development of the GRID-ware and the GUI. (GPCALMA VO) Study of 3D image analysis algorithms and setting up of a distributed lung CT images database. (VO ANPI) Apply GRID facilities to PET image analysis for an early diagnosy of Alzheimer Desease 3

4 MAGIC-5 activity The medical applications of the MAGIC-5 project cover at present three main fields: 1. breast cancer detection in mammograms 2. nodule detection in lung CT images 3. the diagnosis of the Alzheimer disease (AD) of course by using the GRID! 4

5 GPCALMA CAD Station Massive Lesion Microcalcifications Image Selection Image manipulation Metadata insertion Diagnosis insertion CAD execution Data Registration Data Search Installations Hospitals: Torino Palermo (Lecce) INFN-Universities: Bari, Lecce, Napoli, Palermo,Torino, Sassari 5

6 more details determination of ROIs (Region Of Interest) analysis of several ROIs features discrimination between normal and abnormal patterns 6

7 The GRID approach The example of mammographic screening 4 mammograms (about 60 MB) per exam In Italy: 6.8 millions of women in the age range 1 exam / (2 years), gives 3.4 M scans per year, 200 TB/year In Europe: about 1 PB/year Therefore 1. we are facing with an intrinsically distributed database (hospitals) with 2. a huge amount of data 3. which must reside in a secure environment 4. and have to be accessed interactively and remotely 5. in order to share common datasets for algorithm comparison and validation 6. with the possibility to use also a meta-data catalogue GRID! 7

8 Tele-diagnosis for breast cancer screening Data Collection Centre Data & MetaData Catalogue Diagnostic Centre 1 - Data Collection 3 - Run CAD remotely 4 - Transfer Selected Data 5 - Interactive Diagnosis 2 - Data Registration 8

9 .the prototype solutions Share the images without (systematically) moving them (move code, not data!) PROOF ( ) Access control Distributed database management Computational resources management AliEn ( ) One of the future prospects of our project is the migration from AliEn to the EGEE/gLite middleware, which might become a European standard, in the case it will provide more sophisticated tools with respect to the present AliEn functionality. 9

10 High-Level Interface to Data Management Services Catalogue query Patient creation Image registration 10

11 Status of GPCALMA (the mammographic CAD) The basic functionality is available and tested Prototype based on: AliEn for Data Management PROOF for interactive remote analysis Data are analysed where taken Demos at SC2003, HG2004, IEEE2004 The near future: set up local CAD station in more hospitals operate it locally keep improving the algorithm performances move to EGEE/gLite as Grid Service Provider? Yes, but we need: single-vo mode & easy installation/configuration - run in hospitals reliable Data Management and Storage Element Services access GRID Services from GUI application 11

12 Nodule detection in lung CT scans Two initial steps have been already implemented: 1. automated extraction of the pulmonary parenchyma; 2. detection of nodule candidates based on a dot-enhancement filter 12

13 A sw developer GUI 13

14 The GUI prototype Graphic User Interface slices browsing DICOMDIR decoding splitting Metadata management Region growing Algorithm Preliminary 3d - reconstruction of Vessel tree in the lung 3d visualization under study 14

15 The case of the Alzheimer desease The quantitative comparison, through the SPM (Statistical Parametric Mapping) software, of PET images from suspected AD patients with images of normal cases, allows powerful suggestions to an early AD diagnosis. The use of an integrated GRID environment for the remote and distributed processing of the PET images at a large scale, is strongly desirable. This application is now being implemented in the MAGIC-5 GRID infrastructure. 15

16 Summary The AliEn server managing the VO services has been installed and configured. Moreover some AliEn clients already in use. The remote analysis of mammographic images successfully works, thanks to the PROOF facilities. All blocks required for the tele-diagnosis and screening use cases are integrated into a working prototype system and Future plans Further improvements of the mammographic CAD are under study, showing promising results New algorithms are being successfully developed in lung CT image analysis for early nodule detection A new VO is now being implemented in order to manage the PET image analysis for an early AD diagnosis Industrial applications 16

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