Kinji Matsumoto

Foundation for Biomedical Research and Innovation

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

True positive reduction method for cancer diagnosis based on FDG-PET images

IEEE Symposium Conference Record Nuclear Science 2004. (2005)

Tetsuya Tozaki Tsutomu Fujimoto Setsu Sakamoto Kinji Matsumoto Michio Senda

Now we are studying the computer aided diagnosis method of cancer nodule on the FDG-PET images. This system aims that semi-automatic cancer nodule detection. But this system does not reach the practical use because of some problems. The measure factor of these problems is the over estimation of the true positive shade. In this paper, we propose the reduction method of true positive shades on the FDG-PET images using the image registration method. This procedure is as follows. At first, we calculate the ups and downs of the intensity undulations, and we divide the FDG-PET images into some regions to get the preliminary cancer candidates. On this account we calculate Gauss curvature and mean curvature of an FDG-PET image. The second, we calculate the distance between the interesting image and the other normal image with the image registration method. We use SID method as the image registration. The third, we estimate the preliminary cancer candidate on the FDG-PET image as to normal tissue or abnormal tissue by the SID value and we get the true cancer candidates. We show the availability of this method by showing the results of the reduced true positive.

Image registration

Nodule (geology)

10.1109/nssmic.2004.1466320

Cite

Citations (1)

A New Clustering Method for Landsat Images Using Local Maximums of a Multidimensional Histogram

Kinji Matsumoto Marco Hiroshi Naka Hiroki Yamamoto

Source

Cite

Citations (2)

Computer assisted diagnosis method of whole body cancer using FDG-PET images

Tetsuya Tozaki Michio Senda Setsu Sakamoto Kinji Matsumoto

FDG is known as a tracer which can be accumulated in the brain, the cardiac muscle and the carcinoma tissue. Recently, FDG-PET became use in cancer diagnosis. The advantageous point of FDG-PET is that it can get a whole body images by one time of measurement, and there are a more few quantities of dose than the other conventional CT equipments. However, there are many doubtful shadow on a FDG-PET image because of the organs whose FDG accumulation are high. By this reason, cancer diagnosis with the FDG-PET is very difficult. In this paper, we propose an computer assisted diagnosis method of whole body cancer with the FDG-PET image. This procedure is as follows. At first, we divide FDG-PET images into some regions on the basis of state of intensity level ups and downs. On this account we calculate Gauss curvature and mean curvature of a FDG-PET image. Second, we extract the positive Gauss curvature and the negative mean curvature as the cancer candidate. The last, we compare the cancer candidate with the diagnosis criteria we defined, and we look for the doubtful cancer regions. This technique is still early stage, but we show the availability of this procedure by comparing with the doctor's diagnosis results.

Gaussian curvature

10.1109/icip.2003.1246874

Cite

Citations (7)

Measurement on the Motion of Shuttle (II)

Sen i Gakkaishi (1950)

H. Kamogawa Kinji Matsumoto

10.2115/fiber.6.433

Cite

Citations (0)

A Method of Tone Reproduction Based on Electrostatic Ink Jet Using Dielectric-ink

The Journal of the Institute of Television Engineers of Japan (1984)

Takehiko Tomikawa Kazuhisa Matsuo Kinji Matsumoto

本論文は原画の有する階調の連続性を損わずに再生する方法として, 静電誘引形インクジェットの誘電性インクに特有な曳糸性を応用した階調画像の記録について検討したものである.濃度レベルに対応して印加電圧を変化させ, この振幅変調によって曳糸流量を制御する再生方法を試みた.その結果, 低濃度域の再生不良, 濃度帯域の狭いこと, などの問題が判明した.これらに対して, インク静圧を極端に下げれば曳糸が低電圧に起因した微粒子化をせず, 反射濃度0に至るまで階調が連続することを実験的に確認した.そこで独立した対向電極を設けた2本のノズルにそれぞれ異ったインク静圧をかけ, 重ね走査をして濃度帯域を広くする方法を提案した.その他に, 過渡応答性を改善するために条件付きラプラシアン操作を施し, その効果を確認した.

Tone (literature)

10.3169/itej1978.38.526

Cite

Citations (0)

An attribute classification of images using Laplacian Histogram.

The Journal of the Institute of Television Engineers of Japan (1987)

Takehiko Tomikawa Kinji Matsumoto

画像データの符号化効率は, 符号化しようとする白・黒画像の属性が, (a) 2値, (b) 多値のいずれであるかにより左右される.しかしながら, 量子化された濃度は光電変換系やインクの拡散などに起因したぼけを含み, 計算機処理による属性の判別を困難にしている.本論は, 画像データに2次微分処理を施して得られるラプラシアンヒストグラムに基づいた画像の属性, すなわち2値・多値の分類について検討したものである.まず, 差分参照画素を固定せず, その近傍画素にまで拡張して得られるラプラシアンヒストグラムの持つ性質に着目した.次に, 属性の分離に貢献すると思われる変量の中から, 因子分析により分布の分散および累積ヒストグラムの2種類を導出した.また, ディザや網点などによる擬似階調画像の拡大・縮小入力に対する属性の定量的な扱いを定義した.最後に, 類似性を測る尺度としてマハラノビス距離による判別シミュレーションを行った結果, 本手法の有効性が確認できた.しかし, 一部の細い直線群からなる2値画像や輪郭成分を多く含んだ多値画像などに対して正解が得られなかった.

10.3169/itej1978.41.453

Cite

Citations (0)

Analysis of the Picking Motion of Power Looms

Sen i Gakkaishi (1951)

H. Kamogawa Kinji Matsumoto

10.2115/fiber.7.139

Cite

Citations (0)

Ink Jet Printing of Japanese Kanji Characters

IEEE Micro (1981)

Takehiko Tomikawa Kinji Matsumoto