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Definition of human tissue structure using a tablet PC with two special styluses

IP.com Disclosure Number: IPCOM000168072D
Original Publication Date: 2008-Mar-11
Included in the Prior Art Database: 2008-Mar-11
Document File: 1 page(s) / 20K

Publishing Venue

Siemens

Related People

Juergen Carstens: CONTACT

Abstract

In radiation therapy, an oncologist has to identify accurately human tissue structures in order to differentiate between cancerous tissue (target), which has to be treated by radiation, and the organ at risk (OAR) which has to be spared. The type of structure is entered manually by the Oncologist into the operating system. At present, there is special software available to simplify the localization of these structures and the planning of the therapy process. The software provides images, e.g. from CT (Computed Tomography), MR (Magnetic Resonance Imaging), PET (Positron Emission Tomography) or SPECT (Single-Photon Emission Computed Tomography), on which the Oncologist can mark the identified structures by using a computer mouse or an external digitizer tablet. The fine tuning of selected image areas is supported by using the software tools "erase" and "nudge" in order to mark structures as a target or OAR.

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Definition of human tissue structure using a tablet PC with two special styluses

Idea: Ferose Khan Jeberla, IN-Bangalore

In radiation therapy, an oncologist has to identify accurately human tissue structures in order to differentiate between cancerous tissue (target), which has to be treated by radiation, and the organ at risk (OAR) which has to be spared. The type of structure is entered manually by the Oncologist into the operating system. At present, there is special software available to simplify the localization of these structures and the planning of the therapy process. The software provides images, e.g. from CT (Computed Tomography), MR (Magnetic Resonance Imaging), PET (Positron Emission Tomography) or SPECT (Single-Photon Emission Computed Tomography), on which the Oncologist can mark the identified structures by using a computer mouse or an external digitizer tablet. The fine tuning of selected image areas is supported by using the software tools "erase" and "nudge" in order to mark structures as a target or OAR.

A novel solution is proposed which provides specific software features for precisely defining and identifying the different types of tissue structures (target or OAR) on images for radiation therapy purposes. These software features are based on Dosimetrist Workspace software which is applied on a tablet PC (PC: Portable Computer). This tablet PC contains already implemented functions that can ident...