Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Marta Kersten-Oertel"'
Publikováno v:
Healthcare Technology Letters, Vol 11, Iss 2-3, Pp 137-145 (2024)
Abstract Breast cancer is one of the most prevalent forms of cancer, affecting approximately one in eight women during their lifetime. Deciding on breast cancer treatment, which includes the choice between surgical options, frequently demands prompt
Externí odkaz:
https://doaj.org/article/9aaaf89bfecf4c748ab147896f6db234
Publikováno v:
Computer Assisted Surgery, Vol 29, Iss 1 (2024)
AbstractAdvancements in mixed reality (MR) have led to innovative approaches in image-guided surgery (IGS). In this paper, we provide a comprehensive analysis of the current state of MR in image-guided procedures across various surgical domains. Usin
Externí odkaz:
https://doaj.org/article/5c9bf88555004790b1c1082cc89e0235
Autor:
Mohammad Noroozi, Ace St John, Caterina Masino, Simon Laplante, Jaryd Hunter, Michael Brudno, Amin Madani, Marta Kersten-Oertel
Publikováno v:
JMIR Formative Research, Vol 8, p e52878 (2024)
Background Major bile duct injuries during laparoscopic cholecystectomy (LC), often stemming from errors in surgical judgment and visual misperception of critical anatomy, significantly impact morbidity, mortality, disability, and health care costs.
Externí odkaz:
https://doaj.org/article/d8d1c18714ca42088aea4ea990f8be9b
Publikováno v:
IEEE Access, Vol 12, Pp 127592-127603 (2024)
Recent rising interests in patient-specific thoracic surgical planning and simulation require efficient and robust creation of digital anatomical models from automatic medical image segmentation algorithms. Deep learning (DL) is now state-of-the-art
Externí odkaz:
https://doaj.org/article/c9d9abdad1ee441690ef396a3b28ae60
Autor:
Cristian A. Linte, Ziv Yaniv, Elvis Chen, Qi Dou, Simon Drouin, Megha Kalia, Marta Kersten‐Oertel, Jonathan McLeod, Duygu Sarikaya
Publikováno v:
Healthcare Technology Letters, Vol 11, Iss 2-3, Pp 31-32 (2024)
Externí odkaz:
https://doaj.org/article/6924fc75ee944a00a16107331bfc7243
Publikováno v:
Frontiers in Oncology, Vol 10 (2021)
Neuronavigation using pre-operative imaging data for neurosurgical guidance is a ubiquitous tool for the planning and resection of oncologic brain disease. These systems are rendered unreliable when brain shift invalidates the patient-image registrat
Externí odkaz:
https://doaj.org/article/67aa92f8388442bc834f15ca23122bf1
Autor:
Sara Amini, Marta Kersten-Oertel
Publikováno v:
Healthcare Technology Letters (2019)
In breast reconstruction following a single mastectomy, the surgeon needs to choose between tens of available implants to find the one that can reproduce the symmetry of the patient's breasts. However, due to the lack of measurement tools this decisi
Externí odkaz:
https://doaj.org/article/37f5b473331c4f0dbbdaaec4b5b7844f
Autor:
Étienne Léger, Jonatan Reyes, Simon Drouin, D. Louis Collins, Tiberiu Popa, Marta Kersten-Oertel
Publikováno v:
Healthcare Technology Letters (2018)
In image-guided neurosurgery, a registration between the patient and their pre-operative images and the tracking of surgical tools enables GPS-like guidance to the surgeon. However, factors such as brainshift, image distortion, and registration error
Externí odkaz:
https://doaj.org/article/28ed49749e2641989bae2a6849ad43ea
Publikováno v:
Healthcare Technology Letters (2017)
Image-guided surgery (IGS) has allowed for more minimally invasive procedures, leading to better patient outcomes, reduced risk of infection, less pain, shorter hospital stays and faster recoveries. One drawback that has emerged with IGS is that the
Externí odkaz:
https://doaj.org/article/1d6dc4f3952044a9b52be6933419b18d
Publikováno v:
Healthcare Technology Letters (2017)
Image-guided neurosurgery, or neuronavigation, has been used to visualise the location of a surgical probe by mapping the probe location to pre-operative models of a patient's anatomy. One common limitation of this approach is that it requires the su
Externí odkaz:
https://doaj.org/article/aed9163dc4ad4fbc8bd7d6cfb83ab7bb