You are here: indexactivitiestheme1research_areas

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
activities:theme1:research_areas [2011/01/14 11:34]
cmaumet
activities:theme1:research_areas [2012/02/06 02:58] (current)
Line 1: Line 1:
 <​html> ​ <​html> ​
-<div class="​theme" style="​color:​grey;​font-size:​1em;​text-align:​right;​">​Image ​guided neurosurgery</​div>​+<div class="​theme">​Image ​Guided and Computer Assisted Neurosurgery ​</​div>​
 <div class="​pageTitle">​ <div class="​pageTitle">​
     Research areas     Research areas
Line 10: Line 10:
 ===== Major contributions ===== ===== Major contributions =====
  
-Our major contributions in this area are two-fold. The first aspect concerned Deep Brain Stimulation. We developed an anatomical 3T MR template dedicated to DBS. We introduced the concept of anatomo-clinical atlases for post operative assessment of Deep Brain Stimulation. We introduced a methodology for the automatic computation of the electrode trajectory respecting pre identified constraints. Both findings are some of the main aspects in the newly funded project by an ANR Blanc grant for 4 years from 2011 (ACouStiC; principal investigator:​ Pierre Jannin), which aims at developing an innovative strategy based on models for helping decision-making process during surgical planning and post operative assessment for increasing accuracy and precision and outcome prediction. Third, we have developed a neuronavigation system that is coupled with the magnetic simulation system. This enables to localize in real-time the stimulation locus on the MR image. Compared to the standard empirical localization,​ we have shown that the neuronavigation is more reliable to stimulate the interface between areas 9 and 46 of the Brodmann atlas. This work resulted in a creation of a start-up company (Syneika http://​www.syneika.com/​) which received a prize at the Concours National d'Aide à la Création d'​Entreprises de Technologies Innovantes in 2008.+Our major contributions in this area are two-fold. The first aspect concerned Deep Brain Stimulation. We developed an anatomical 3T MR template dedicated to DBS. We introduced the concept of anatomo-clinical atlases for post operative assessment of Deep Brain Stimulation. We introduced a methodology for the automatic computation of the electrode trajectory respecting pre identified constraints. Both findings are some of the main aspects in the newly funded project by an ANR Blanc grant for 4 years from 2011 (ACouStiC; principal investigator:​ Pierre Jannin), which aims at developing an innovative strategy based on models for helping decision-making process during surgical planning and post operative assessment for increasing accuracy and precision and outcome prediction.
  
 ===== Current related projects ===== ===== Current related projects =====
Line 18: Line 18:
  
  
-====== II. Intraoperative brain deformations in neurosurgery ​(IGNS) ======+====== II. Models of Surgical Processes ​(SPM) ======
  
 ===== Major contributions ===== ===== Major contributions =====
  
-Our major objective within this application domain was to correct ​for brain deformations that occur during surgery. Neuronavigation systems make it now possible to superimpose preoperative images with the surgical ​field under the assumption of a rigid transformationNevertheless,​ non-rigid brain deformations, ​as well as brain resection, drastically limit the efficiency ​of such systemsThe major objective here was to study and estimate brain deformations using 3D ultrasound and video informationThis was performed through ​the integration of intraoperative 3D free-hand ultrasound ​and 3D intraoperative video reconstructionThe major advances ​in the period was to propose 1) new 3D reconstruction framework ​for 3D freehand ultrasound from regular B-scans, 2) a new denoising scheme based on the adaptation ​of NL-Means to the Rayleigh distribution model, 3) a new rigid and non-rigid registration framework which includes a new probabilistic similarity function between MRI and Ultrasound images, and 4a new detectionquantification and tracking of surface ​brain deformations from videos ​of the binocular microscope. We have demonstrated that millimeter deformations can be measured ​and corrected; with an accuracy limited to the patient to physical space registration error mainly.+Our major objective within this application domain was introduce an innovative approach ​for understanding and formalizing ​the surgical ​practice and associated cognitive processesWe developed an original methodology for surgical modeling ​as well as for the identification ​of the different surgical aspects to be modeledIt includes a data acquisition software for pre and post operatively description of patient specific surgical process models based on the main surgical tasksWith collaborations with the ICCAS research institute from Leipzig University (Germany), we addressed different granularity levels; we validated the acquisition methodology, ​and studied metrics for comparing surgical process modelsDiscussions and works with the ICCAS group started ​in November 2004 were used as basis for the creation ​of a new DICOM working group (WG 24: "DICOM in Surgery"​). The tools we developed were used for several studies in eye surgery, brain tumor surgery, interventional neuroradiology,​ or spinal surgery. For instance, we demonstrated the interest ​of the methodology used for objectively comparing senior ​and junior neurosurgeons during lumbar disc herniation surgery.
  
 ===== Current related projects ===== ===== Current related projects =====
  
-  * [[activities:​theme1:​projects:​IGNS:index | IGNS ]]\\+  * [[activities:​theme1:​projects:​SPM:index | Analysis of surgical procedures by Surgical Process Modelling ​]] \\ 
 +  * [[activities:​theme1:​projects:​video:​index | Microscope image analysis for automatic phases recognition in surgery ]]
  
  
-====== III. Models of surgical expertise ​(SPM) ======+====== III. Previous projects: Intraoperative brain deformations in neurosurgery ​(IGNS) ======
  
 ===== Major contributions ===== ===== Major contributions =====
  
-Our major objective within this application domain was introduce an innovative approach ​for understanding and formalizing ​the surgical ​practice and associated cognitive processesWe developed an original methodology for surgical modeling ​as well as for the identification ​of the different surgical aspects to be modeledIt includes a data acquisition software for pre and post operatively description of patient specific surgical process models based on the main surgical tasksWith collaborations with the ICCAS research institute from Leipzig University (Germany), we addressed different granularity levels; we validated the acquisition methodology, ​and studied metrics for comparing surgical process modelsDiscussions and works with the ICCAS group started ​in November 2004 were used as basis for the creation ​of a new DICOM working group (WG 24: "DICOM in Surgery"​). The tools we developed were used for several studies in eye surgery, brain tumor surgery, interventional neuroradiology,​ or spinal surgery. For instance, we demonstrated the interest ​of the methodology used for objectively comparing senior ​and junior neurosurgeons during lumbar disc herniation surgery.+Our major objective within this application domain was to correct ​for brain deformations that occur during surgery. Neuronavigation systems make it now possible to superimpose preoperative images with the surgical ​field under the assumption of a rigid transformationNevertheless,​ non-rigid brain deformations, ​as well as brain resection, drastically limit the efficiency ​of such systemsThe major objective here was to study and estimate brain deformations using 3D ultrasound and video informationThis was performed through ​the integration of intraoperative 3D free-hand ultrasound ​and 3D intraoperative video reconstructionThe major advances ​in the period was to propose 1) new 3D reconstruction framework ​for 3D freehand ultrasound from regular B-scans, 2) a new denoising scheme based on the adaptation ​of NL-Means to the Rayleigh distribution model, 3) a new rigid and non-rigid registration framework which includes a new probabilistic similarity function between MRI and Ultrasound images, and 4a new detectionquantification and tracking of surface ​brain deformations from videos ​of the binocular microscope. We have demonstrated that millimeter deformations can be measured ​and corrected; with an accuracy limited to the patient to physical space registration error mainly.
  
 ===== Current related projects ===== ===== Current related projects =====
  
-  * [[activities:​theme1:​projects:​SPM:index | Analysis of surgical procedures by Surgical Process Modelling ​]] \\ +  * [[activities:​theme1:​projects:​IGNS:index | IGNS ]]\\ 
-  * [[activities:​theme1:​projects:​video:​index | Microscope image analysis for automatic phases recognition in surgery ]]+ 
  
inserm rennes1 ltsi