Università degli studi di Pavia Dipartimento di Ingegneria Civile e Architettura Corso di laurea in Bioingegneria Preoperative planning through CT data.

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Università degli studi di Pavia Dipartimento di Ingegneria Civile e Architettura Corso di laurea in Bioingegneria Preoperative planning through CT data elaboration to minimize patient injury in heart surgery Pianificazione preoperatoria attraverso l’elaborazione di dati TAC per ridurre al minimo le lesioni al paziente in cardiochirurgia Supervisor: Prof. Ferdinando Auricchio Co - supervisor: Dott. Simone Morganti Pietro Canale UIN Academic Year: 2012/2013

 Computational Mechanics and Advanced Materials Group of University of Pavia  Head: Prof. Ferdinando Auricchio  Division of Cardiac Surgery of Policlinico San Matteo of Pavia  Head: Dr. Alessandro Mazzola  MD: Dr. Pasquale Totaro Collaboration

 Cardiovascular diseases  Thoracic aortic aneurysm  Malfunctioning of cardiac valves  Heart surgery  Traditional approach  Minimally invasive approch The Heart

Motivation: Preoperative planning of optimal surgical access is required in case of minimally invasive cardiac surgery procedures  Patient-specific  Operation-specific Goal: To create virtual surgical windows in ministernotomy approaches to avoid:  Unpredictable difficulties  Conversion to median sternotomy Motivation and Goal

 OsiriX  Imaging software  Matlab  Computational software Tools I Visualization Pre-processing - Heart segmentation OSIRIX O DICOMs CT Processing - Cut and crop - Surgical window Modified DICOMs MATLAB Workflow:

Pre-processing with OsiriX  Visualization and 3D reconstruction Original CT DICOMs 2D image Segmented Heart DICOMs Visualization Pre-processing - Heart segmentation DICOMs CT OSIRIX IO

 Crope Cube tool 2D image: frontal view of the chest

 Heart segmentation  Experience  From 5 to 30 minutes (depending on CT quality) Heart/ascending aorta segmentation

Segmented heart

 DICOM processing Support in planning surgical intervention Original CT DICOMs Segmented Heart DICOMs 2D image Processing - Cut and crop - Surgical window MATLAB Modified DICOMs IO

The algorithm

 View results Results

Conclusions:  The work of this thesis has enabled the creation of an automated tool for defining patient-specific optimal surgical window (in ministernotomy approaches)  The procedure is well guided and required operations are easy to perform  tool usable directly by the surgeon Future developments:  Implementation in a unique software  Surgical window simulation in minithoracotomy Conclusions and future developments

Università degli studi di Pavia Dipartimento di Ingegneria Civile e Architettura Corso di laurea in Bioingegneria Preoperative planning through CT data elaboration to minimize patient injury in heart surgery Pianificazione preoperatoria attraverso l’elaborazione di dati TAC per ridurre al minimo le lesioni al paziente in cardiochirurgia Supervisor: Prof. Ferdinando Auricchio Co - supervisor: Dott. Simone Morganti Pietro Canale UIN Academic Year: 2012/2013