Toward effective computational archetype for image guided neuro-surgery
In recent years, the advantages offered by Image Guided Surgery (IGS)/ Computer Aided Surgery (CAS) to patients and medical professionals during a minimally-invasive surgical operation are overwhelming. Imaging techniques have had immense growth in their sophistication and can provide the surge...
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| 主要な著者: | , , , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2010
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| 主題: | |
| オンライン･アクセス: | http://irep.iium.edu.my/11529/1/Toward_effective_computational_archetype.pdf http://irep.iium.edu.my/11529/ http://www.isai2010.org/ |
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| 要約: | In recent years, the advantages offered by Image
Guided Surgery (IGS)/ Computer Aided Surgery (CAS) to
patients and medical professionals during a minimally-invasive
surgical operation are overwhelming. Imaging techniques have
had immense growth in their sophistication and can provide
the surgeon with high quality guidance. This notwithstanding
there is still room for improvement in almost all the areas of
IGS application and stages such area as computational time
which impedes its full deployment in intra-operative surgical
interventional, segmentation, registration, visualization, plus
IGS application software and instrumentation. This paper
presents a model for the attainment of a more effective
computational scheme by looking at possible computational
improvement at all stages of IGS procedure but focusing on
two aspects of IGS relating to intra-operative surgical
intervention. If implemented, it will result into fast and better
anatomical segmentation and fast computational scheme. |
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