PURPOSE: Deep brain stimulation (DBS) is a surgical procedure for treating motor-related neurological disorders. DBS clinical efficacy hinges on precise surgical planning and accurate electrode placement, which in turn call upon several image processing and visualization tasks, such as image registration, image segmentation, image fusion, and 3D visualization. These tasks are often performed by a heterogeneous set of software tools, which adopt differing formats and geometrical conventions and require patient-specific parameterization or interactive tuning. To overcome these issues, we introduce in this article PyDBS, a fully integrated and automated image processing workflow for DBS surgery. METHODS: PyDBS consists of three image processing pipelines and three visualization modules assisting clinicians through the entire DBS surgical workflow, from the preoperative planning of electrode trajectories to the postoperative assessment of electrode placement. The system's robustness, speed, and accuracy were assessed by means of a retrospective validation, based on 92 clinical cases. RESULTS: The complete PyDBS workflow achieved satisfactory results in 92 % of tested cases, with a median processing time of 28 min per patient. CONCLUSION: The results obtained are compatible with the adoption of PyDBS in clinical practice.
PURPOSE: Deep brain stimulation (DBS) is a surgical procedure for treating motor-related neurological disorders. DBS clinical efficacy hinges on precise surgical planning and accurate electrode placement, which in turn call upon several image processing and visualization tasks, such as image registration, image segmentation, image fusion, and 3D visualization. These tasks are often performed by a heterogeneous set of software tools, which adopt differing formats and geometrical conventions and require patient-specific parameterization or interactive tuning. To overcome these issues, we introduce in this article PyDBS, a fully integrated and automated image processing workflow for DBS surgery. METHODS: PyDBS consists of three image processing pipelines and three visualization modules assisting clinicians through the entire DBS surgical workflow, from the preoperative planning of electrode trajectories to the postoperative assessment of electrode placement. The system's robustness, speed, and accuracy were assessed by means of a retrospective validation, based on 92 clinical cases. RESULTS: The complete PyDBS workflow achieved satisfactory results in 92 % of tested cases, with a median processing time of 28 min per patient. CONCLUSION: The results obtained are compatible with the adoption of PyDBS in clinical practice.
Authors: Pierre-François D'Haese; Srivatsan Pallavaram; Rui Li; Michael S Remple; Chris Kao; Joseph S Neimat; Peter E Konrad; Benoit M Dawant Journal: Med Image Anal Date: 2010-08-01 Impact factor: 8.545
Authors: Ludvic Zrinzo; Arjen L J van Hulzen; Alessandra A Gorgulho; Patricia Limousin; Michiel J Staal; Antonio A F De Salles; Marwan I Hariz Journal: J Neurosurg Date: 2009-06 Impact factor: 5.115
Authors: Arno Klein; Jesper Andersson; Babak A Ardekani; John Ashburner; Brian Avants; Ming-Chang Chiang; Gary E Christensen; D Louis Collins; James Gee; Pierre Hellier; Joo Hyun Song; Mark Jenkinson; Claude Lepage; Daniel Rueckert; Paul Thompson; Tom Vercauteren; Roger P Woods; J John Mann; Ramin V Parsey Journal: Neuroimage Date: 2009-01-13 Impact factor: 6.556
Authors: Andrew J Plassard; Shunxing Bao; Pierre F D'Haese; Srivatsan Pallavaram; Daniel O Claassen; Benoit M Dawant; Bennett A Landman Journal: Magn Reson Imaging Date: 2019-05-21 Impact factor: 2.546
Authors: Andreas Horn; Ningfei Li; Till A Dembek; Ari Kappel; Chadwick Boulay; Siobhan Ewert; Anna Tietze; Andreas Husch; Thushara Perera; Wolf-Julian Neumann; Marco Reisert; Hang Si; Robert Oostenveld; Christopher Rorden; Fang-Cheng Yeh; Qianqian Fang; Todd M Herrington; Johannes Vorwerk; Andrea A Kühn Journal: Neuroimage Date: 2018-09-01 Impact factor: 6.556
Authors: R Zelmann; S Beriault; M M Marinho; K Mok; J A Hall; N Guizard; C Haegelen; A Olivier; G B Pike; D L Collins Journal: Int J Comput Assist Radiol Surg Date: 2015-03-26 Impact factor: 2.924